Agricultural and Biological Sciences Plant Science

Greenhouse Technology and Climate Control

Description

This cluster of papers focuses on the dynamic modeling and simulation of plant architecture, growth, and environmental control in greenhouses. It covers topics such as functional–structural plant modelling, computational fluid dynamics for greenhouse climate control, virtual plants, solar energy utilization in greenhouses, crop photosynthesis, L-systems modeling for plant architecture, microclimate simulation, and the use of renewable energy in agriculture.

Keywords

Plant Architecture; Functional–Structural Plant Modelling; Greenhouse Climate Control; Computational Fluid Dynamics (CFD); Virtual Plants; Solar Energy in Greenhouses; Crop Photosynthesis; L-systems Modeling; Microclimate Simulation; Renewable Energy in Agriculture

Heat transfer: a basic approach , Heat transfer: a basic approach , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی Heat transfer: a basic approach , Heat transfer: a basic approach , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی
We have developed evolutionary models to account for ecological patterns in the size and shape of vine leaves. Leaf size is predicted via an economical model in which photosynthetic gains … We have developed evolutionary models to account for ecological patterns in the size and shape of vine leaves. Leaf size is predicted via an economical model in which photosynthetic gains due to enhanced gas exchange are balanced with the metabolic losses incurred in replacing the concomitant water loss. Mechanical efficiency and appropriate orientation in a light field form the basis of our model for leaf shape. Data from montane rain forest in Venezuela and from varied habitats in Costa Rica illustrate the predicted trends along vertical and horizontal microclimatic gradients. Large, cordate-based leaves with long petioles are favored in sunny situations, while small, narrow-based leaves with short petioles are favored in more shady environments. Compound or deeply lobed leaves of the smallest effective size are expected in the most exposed positions.
When output ( x ) of a mechanistic model is compared with measurement ( y ), it is common practice to calculate the correlation coefficient between x and y , … When output ( x ) of a mechanistic model is compared with measurement ( y ), it is common practice to calculate the correlation coefficient between x and y , and to regress y on x . There are, however, problems in this approach. The assumption of the regression, that y is linearly related to x , is not guaranteed and is unnecessary for the x – y comparison. The correlation and regression coefficients are not explicitly related to other commonly used statistics [e.g., root mean squared deviation (RMSD)]. We present an approach based on the mean squared deviation (MSD = RMSD 2 ) and show that it is better suited to the x – y comparison than regression. Mean squared deviation is the sum of three components: squared bias (SB), squared difference between standard deviations (SDSD), and lack of correlation weighted by the standard deviations (LCS). To show examples, the MSD‐based analysis was applied to simulation vs. measurement comparisons in literature, and the results were compared with those from regression analysis. The analysis of MSD clearly identified the simulation vs. measurement contrasts with larger deviation than others; the correlation–regression approach tended to focus on the contrasts with lower correlation and regression line far from the equality line. It was also shown that results of the MSD‐based analysis were easier to interpret than those of regression analysis. This is because the three MSD components are simply additive and all constituents of the MSD components are explicit. This approach will be useful to quantify the deviation of calculated values obtained with this model from measurements.
We present an all-inclusive software tool for dealing with the essential core of mathematical and statistical calculations in plant growth analysis. The tool calculates up to six of the most … We present an all-inclusive software tool for dealing with the essential core of mathematical and statistical calculations in plant growth analysis. The tool calculates up to six of the most fundamental growth parameters according to a purely 'classical' approach across one harvest-interval. All of the estimates carry standard errors and 95 % confidence limits. The tool is written in Microsoft Excel 2000 and is available free of charge for use in teaching and research from www.aob.oupjournals.org article supplementary data.
The architecture of a plant depends on the nature and relative arrangement of each of its parts; it is, at any given time, the expression of an equilibrium between endogenous … The architecture of a plant depends on the nature and relative arrangement of each of its parts; it is, at any given time, the expression of an equilibrium between endogenous growth processes and exogenous constraints exerted by the environment. The aim of architectural analysis is, by means of observation and sometimes experimentation, to identify and understand these endogenous processes and to separate them from the plasticity of their expression resulting from external influences.
Consumer interest worldwide in the quality of vegetable products has increased in recent years. Product quality is a complex issue. As well as visual characteristics, properties such as texture, the … Consumer interest worldwide in the quality of vegetable products has increased in recent years. Product quality is a complex issue. As well as visual characteristics, properties such as texture, the content of minerals and vitamins, flavor and other organoleptic characteristics must be considered. In addition, new knowledge shows that vegetables are appreciated for their beneficial health effects in humans and underlines the importance of nutraceutic properties. Many research studies have documented methods for achieving a high-quality vegetable product. Indoor production for fresh vegetables offers advantages compared to outdoor production with regard to quality assurance principally, because the products are not exposed directly to the rapid changes of climate conditions. On the other hand, vegetable cultivation in a greenhouse under artificially created conditions also affects the internal quality of the product. This is reflected in a different taste and flavor compared with field vegetables. Changes in external as well internal quality attributes of greenhouse vegetables subjected to light intensity, temperature, vapor pressure deficit (VPD), and CO2 enrichment of the atmosphere concentration are discussed in this paper. Referee: Dr. J. M. White, Vegetable Production Specialist, Mid-Florida Research and Education Center, UF/IFAS, 2725 Binion Road, Apopka, FL 32703, USA Keywords: air humiditybioactive compoundsCO2 flavorinternal and external qualitylightnitratephysiological disorderpreharvesttemperatureVPD ACKNOWLEDGMENTS Many thanks to colleagues around the world for supporting me, providing relevant literature and reading parts of manuscript. Especially thanks to M.J. Maher, Teagasc, Kinsealy Research Centre, Dublin, Ireland for critical reading of this paper. Notes Referee: Dr. J. M. White, Vegetable Production Specialist, Mid-Florida Research and Education Center, UF/IFAS, 2725 Binion Road, Apopka, FL 32703, USA 1Taken from Huyskens-Keil, and Schreiner 2003. J. Appl. Bot. 77: 147–151. Reproduced with permission. Modeled after Schuphan (1948; 1961), CitationHuyskens (1996), CitationShewfelt (1999), Kader (1999, 2001) and CitationWeichmann (2002).
Article Free AccessVisual models of plants interacting with their environment Share on Authors: Radomír Měch Department of Computer Science, University of Calgary, Calgary, Alberta, Canada T2N 1N4 Department of Computer … Article Free AccessVisual models of plants interacting with their environment Share on Authors: Radomír Měch Department of Computer Science, University of Calgary, Calgary, Alberta, Canada T2N 1N4 Department of Computer Science, University of Calgary, Calgary, Alberta, Canada T2N 1N4View Profile , Przemyslaw Prusinkiewicz Department of Computer Science, University of Calgary, Calgary, Alberta, Canada T2N 1N4 Department of Computer Science, University of Calgary, Calgary, Alberta, Canada T2N 1N4View Profile Authors Info & Claims SIGGRAPH '96: Proceedings of the 23rd annual conference on Computer graphics and interactive techniquesAugust 1996 Pages 397–410https://doi.org/10.1145/237170.237279Online:01 August 1996Publication History 299citation3,084DownloadsMetricsTotal Citations299Total Downloads3,084Last 12 Months98Last 6 weeks7 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Leaf area growth determines the light interception capacity of a crop and is often used as a surrogate for plant growth in high-throughput phenotyping systems. The relationship between leaf area … Leaf area growth determines the light interception capacity of a crop and is often used as a surrogate for plant growth in high-throughput phenotyping systems. The relationship between leaf area growth and growth in terms of mass will depend on how carbon is partitioned among new leaf area, leaf mass, root mass, reproduction, and respiration. A model of leaf area growth in terms of photosynthetic rate and carbon partitioning to different plant organs was developed and tested with Arabidopsis thaliana L. Heynh. ecotype Columbia (Col-0) and a mutant line, gigantea-2 (gi-2), which develops very large rosettes. Data obtained from growth analysis and gas exchange measurements was used to train a genetic programming algorithm to parameterize and test the above model. The relationship between leaf area and plant biomass was found to be non-linear and variable depending on carbon partitioning. The model output was sensitive to the rate of photosynthesis but more sensitive to the amount of carbon partitioned to growing thicker leaves. The large rosette size of gi-2 relative to that of Col-0 resulted from relatively small differences in partitioning to new leaf area vs. leaf thickness.
Temperature is one of the most important factors that determine plant growth, development, and yield. Accurate summarization of plant temperature response is thus a prerequisite to successful crop systems modelling … Temperature is one of the most important factors that determine plant growth, development, and yield. Accurate summarization of plant temperature response is thus a prerequisite to successful crop systems modelling and application of such models to management. This paper reports on a general equation that can be used to simulate the temperature response of plants. The equation reads as
Stomatal behaviour of plants in drying soil can be regulated by (long distance) chemical signals that provide the shoot with some measure of water availability. Although much emphasis has been … Stomatal behaviour of plants in drying soil can be regulated by (long distance) chemical signals that provide the shoot with some measure of water availability. Although much emphasis has been placed on the plant hormone abscisic acid (ABA) as a central component of the signalling process, soil drying will modify the delivery to the shoot of a range of potential chemical signals. Here we consider the role that changes in the xylem sap pH might play in determining the access that ABA has to sites of action on the guard cells. We also show how redistribution of inorganic ions between different compartments in the leaf (localized chemical signalling) can provide sensitive control of stomata and water loss in response to potentially damaging changes in leaf temperature. Partial root zone drying is an irrigation technique that has been developed to allow exploitation of the plant's long distance signalling system. When the system is optimized, stomatal behaviour, shoot water status and leaf growth can be regulated such that water use efficiency (fruit yield/water used) can be significantly increased. We show how an understanding of the drought stress physiology of the whole plant can lead to substantial saving of irrigation water in agriculture.
Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text W. … Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text W. H. Weber and John Lambe, "Luminescent greenhouse collector for solar radiation," Appl. Opt. 15, 2299-2300 (1976) Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
This paper reviews the various methods available for irrigation scheduling, contrasting traditional water-balance and soil moisture-based approaches with those based on sensing of the plant response to water deficits. The … This paper reviews the various methods available for irrigation scheduling, contrasting traditional water-balance and soil moisture-based approaches with those based on sensing of the plant response to water deficits. The main plant-based methods for irrigation scheduling, including those based on direct or indirect measurement of plant water status and those based on plant physiological responses to drought, are outlined and evaluated. Specific plant-based methods include the use of dendrometry, fruit gauges, and other tissue water content sensors, while measurements of growth, sap flow, and stomatal conductance are also outlined. Recent advances, especially in the use of infrared thermometry and thermography for the study of stomatal conductance changes, are highlighted. The relative suitabilities of different approaches for specific crop and climatic situations are discussed, with the aim of indicating the strengths and weaknesses of different approaches, and highlighting their suitability over different spatial and temporal scales. The potential of soil- and plant-based systems for automated irrigation control using various scheduling techniques is also discussed.
Methods of preparing solutions of graded density for the accurate control of atmospheric relative humidity are described, and some pitfalls in their use and in the use of saturated salt … Methods of preparing solutions of graded density for the accurate control of atmospheric relative humidity are described, and some pitfalls in their use and in the use of saturated salt solutions are indicated. For graded solutions of potassium hydroxide and of sulphuric acid, data from the International Critical Tables or more recent sources are used as the basis of tables giving the concentrations (wt.%) and densities corresponding to relative humidities in steps of 5 per cent. R.H. Sources of similar data for calcium chloride, sodium hydroxide, sodium chloride, and glycerol solutions are given. As an addition to the compilation of the available data on humidities in contact with various saturated salt solutions by O'Brien (1948), some more recent figures are quoted.
Plants react to their environment and to management interventions by adjusting physiological functions and structure. Functional-structural plant models (FSPM), combine the representation of three-dimensional (3D) plant structure with selected physiological … Plants react to their environment and to management interventions by adjusting physiological functions and structure. Functional-structural plant models (FSPM), combine the representation of three-dimensional (3D) plant structure with selected physiological functions. An FSPM consists of an architectural part (plant structure) and a process part (plant functioning). The first deals with (i) the types of organs that are initiated and the way these are connected (topology), (ii) co-ordination in organ expansion dynamics, and (iii) geometrical variables (e.g. leaf angles, leaf curvature). The process part may include any physiological or physical process that affects plant growth and development (e.g. photosynthesis, carbon allocation). This paper addresses the following questions: (i) how are FSPM constructed, and (ii) for what purposes are they useful? Static, architectural models are distinguished from dynamic models. Static models are useful in order to study the significance of plant structure, such as light distribution in the canopy, gas exchange, remote sensing, pesticide spraying studies, and interactions between plants and biotic agents. Dynamic models serve quantitatively to integrate knowledge on plant functions and morphology as modulated by environment. Applications are in the domain of plant sciences, for example the study of plant plasticity as related to changes in the red:far red ratio of light in the canopy. With increasing availability of genetic information, FSPM will play a role in the assessment of the significance towards plant performance of variation in genetic traits across environments. In many crops, growers actively manipulate plant structure. FSPM is a promising tool to explore divergent management strategies.
• Functional–structural plant models simulate the development of plant structure, taking into account plant physiology and environmental factors. The L-PEACH model is based on the development of peach trees. It … • Functional–structural plant models simulate the development of plant structure, taking into account plant physiology and environmental factors. The L-PEACH model is based on the development of peach trees. It demonstrates the usefulness of L-systems in constructing functional–structural models. • L-PEACH uses L-systems both to simulate the development of tree structure and to solve differential equations for carbohydrate flow and allocation. New L-system-based algorithms are devised for simulating the behavior of dynamically changing structures made of hundreds of interacting, time-varying, nonlinear components. • L-PEACH incorporates a carbon-allocation model driven by source–sink interactions between tree components. Storage and mobilization of carbohydrates during the annual life cycle of a tree are taken into account. Carbohydrate production in the leaves is simulated based on the availability of water and light. Apices, internodes, leaves and fruit grow according to the resulting local carbohydrate supply. • L-PEACH outputs an animated three-dimensional visual representation of the growing tree and user-specified statistics that characterize selected stages of plant development. The model is applied to simulate a tree's response to fruit thinning and changes in water stress. L-PEACH may be used to assist in horticultural decision-making processes after being calibrated to specific trees.
The close relationship between air temperature measured at standard screen level and the rate of melt on snow and ice has been widely used to estimate the rate of melt. … The close relationship between air temperature measured at standard screen level and the rate of melt on snow and ice has been widely used to estimate the rate of melt. The parameterization of the melt rate using air temperature usually takes a simple form as a function of either the mean temperature for the relevant period or positive degree-day statistics. The computation provides the melt rate with sufficient accuracy for most practical purposes. Because of its simplicity, it is often called a crude method and is rated as inferior to other more sophisticated methods such as the energy balance method. The method is often used with the justification that temperature data are easily available or that obtaining energy balance fluxes is difficult. The physical process responsible for the temperature effect on the melt rate is often attributed to the sensible heat conduction from the atmosphere. The simulation capacity of the temperature-based melt-index method, however, is too good to be called crude and inferior. The author investigated physical processes that make the air temperature so effective a parameter for melt rate. Air temperature has a more profound influence on melt than previously has been acknowledged. The influence of air temperature through the turbulent sensible heat flux is limited, however. The air temperature information is transferred to the surface mainly through longwave atmospheric radiation, which is by far the most important heat source for melt. Under cloudless-sky conditions, as much as 60% of the atmospheric emission is derived from within the first 100 m and 90% from the first 1 km of the atmosphere. When the sky is overcast with the cloud bottom within the first 1 km, more than 90% originates within this layer between the surface and the bottom of the cloud. When the sky is overcast with the cloud bottom higher than 1 km, the first 1 km of the atmosphere still makes up about 70% of the longwave irradiance at the surface, for which the air temperature measured at standard screen level is the single most influential factor. Wind speed is only weakly correlated with melt rate, because the main energy source for melting is longwave atmospheric radiation, followed by the absorbed global radiation, both of which are independent of the movement of the atmosphere.
Journal Article A Modified Sine Wave Method for Calculating Degree Days Get access Jon C. Allen Jon C. Allen University of Florida, Agricultural Research and Education Center, P. O. Box … Journal Article A Modified Sine Wave Method for Calculating Degree Days Get access Jon C. Allen Jon C. Allen University of Florida, Agricultural Research and Education Center, P. O. Box 1088, Lake Alfred 33850 Search for other works by this author on: Oxford Academic PubMed Google Scholar Environmental Entomology, Volume 5, Issue 3, 1 June 1976, Pages 388–396, https://doi.org/10.1093/ee/5.3.388 Published: 01 June 1976 Article history Received: 12 September 1975 Published: 01 June 1976
In a new model of light distribution in field crops a parameter s is the fraction of light passing through unit leaf layer without interception. Radiation profiles measured with solarimeters … In a new model of light distribution in field crops a parameter s is the fraction of light passing through unit leaf layer without interception. Radiation profiles measured with solarimeters and photocells give values of s from 0.7 for grasses to 0.4 for species with prostrate leaves. Knowing s, leaf transmission T and leaf-area index L the light distribution in a field crop may be described by a binomial expansion of the form {s+(I-s)T)L. To calculate crop photosynthesis at given light intensity this expansion is combined with two parameters describing the shape of the light-response curve of single leaves. Finally, the assumption that solar radiation varies sinusoidally allows daily total photosynthesis to be estimated from daylength and insolation. The theory predicts about the same potential photosynthesis in a cloudy temperte climate with long days as in a more sunny equatorial climate with short days. When L < 3 photosynthesis increases as s decreases, i.e. as leaves become more prostrate; but when L > 5, photosynthesis increases as s increases, i. e. as leaves become more erect. Assuming that respiration is proportional to leaf area, estimated dry-matter production agrees well with field measurements on sugar-beet, sugar-cane, kale, and subterranean clover. Estimates of maximum gross photosynthesis (for sugar-cane and maize) range from 60 to 9 g m−2 day−1 depending on insolation.
Summary Plant biologists often grow plants in growth chambers or glasshouses with the ultimate aim to understand or improve plant performance in the field. What is often overlooked is how … Summary Plant biologists often grow plants in growth chambers or glasshouses with the ultimate aim to understand or improve plant performance in the field. What is often overlooked is how results from controlled conditions translate back to field situations. A meta‐analysis showed that lab‐grown plants had faster growth rates, higher nitrogen concentrations and different morphology. They remained smaller, however, because the lab plants had grown for a much shorter time. We compared glasshouse and growth chamber conditions with those in the field and found that the ratio between the daily amount of light and daily temperature (photothermal ratio) was consistently lower under controlled conditions. This may strongly affect a plant's source : sink ratio and hence its overall morphology and physiology. Plants in the field also grow at higher plant densities. A second meta‐analysis showed that a doubling in density leads on average to 34% smaller plants with strong negative effects on tiller or side‐shoot formation but little effect on plant height. We found the r 2 between lab and field phenotypic data to be rather modest (0.26). Based on these insights, we discuss various alternatives to facilitate the translation from lab results to the field, including several options to apply growth regimes closer to field conditions. Contents Summary I. Introduction 839 II. Phenotypic differences between lab‐ and field‐grown plants 839 III. The shoot environment 841 IV. The root environment 845 V. Effects of plant density 847 VI. Consistency among species or genotypes in ranking between lab and field 848 VII. Translation of lab results to the field 849 VIII. Conclusions 851 Acknowledgements 851 Author contributions 852 References 852 Appendix A1 854
Greenhouse cultivation has evolved from simple covered rows of open-fields crops to highly sophisticated controlled environment agriculture (CEA) facilities that projected the image of plant factories for urban agriculture. The … Greenhouse cultivation has evolved from simple covered rows of open-fields crops to highly sophisticated controlled environment agriculture (CEA) facilities that projected the image of plant factories for urban agriculture. The advances and improvements in CEA have promoted the scientific solutions for the efficient production of plants in populated cities and multi-story buildings. Successful deployment of CEA for urban agriculture requires many components and subsystems, as well as the understanding of the external influencing factors that should be systematically considered and integrated. This review is an attempt to highlight some of the most recent advances in greenhouse technology and CEA in order to raise the awareness for technology transfer and adaptation, which is necessary for a successful transition to urban agriculture. This study reviewed several aspects of a high-tech CEA system including improvements in the frame and covering materials, environment perception and data sharing, and advanced microclimate control and energy optimization models. This research highlighted urban agriculture and its derivatives, including vertical farming, rooftop greenhouses and plant factories which are the extensions of CEA and have emerged as a response to the growing population, environmental degradation, and urbanization that are threatening food security. Finally, several opportunities and challenges have been identified in implementing the integrated CEA and vertical farming for urban agriculture. Keywords: smart agriculture, greenhouse modelling, urban agriculture, vertical farming, automation, internet of things (IoT), wireless sensor network, plant factories DOI: 10.25165/j.ijabe.20181101.3210 Citation: Shamshiri R R, Kalantari F, Ting K C, Thorp K R, Hameed I A, Weltzien C, et al. Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture. Int J Agric & Biol Eng, 2018; 11(1): 1–22.
Abstract Greenhouse technology is a flexible solution for sustainable year-round cultivation of Tomato (Lycopersicon esculentum Mill), particularly in regions with adverse climate conditions or limited land and resources. Accurate knowledge … Abstract Greenhouse technology is a flexible solution for sustainable year-round cultivation of Tomato (Lycopersicon esculentum Mill), particularly in regions with adverse climate conditions or limited land and resources. Accurate knowledge about plant requirements at different growth stages, and under various light conditions, can contribute to the design of adaptive control strategies for a more cost-effective and competitive production. In this context, different scientific publications have recommended different values of microclimate parameters at different tomato growth stages. This paper provides a detailed summary of optimal, marginal and failure air and root-zone temperatures, relative humidity and vapour pressure deficit for successful greenhouse cultivation of tomato. Graphical representations of the membership function model to define the optimality degrees of these three parameters are included with a view to determining how close the greenhouse microclimate is to the optimal condition. Several production constraints have also been discussed to highlight the short and long-term effects of adverse microclimate conditions on the quality and yield of tomato, which are associated with interactions between suboptimal parameters, greenhouse environment and growth responses.
The large-span insulated plastic greenhouse is a highly promising horticultural facility. The design parameters and configuration of structural components significantly impact their safety and load-bearing performance. However, current research in … The large-span insulated plastic greenhouse is a highly promising horticultural facility. The design parameters and configuration of structural components significantly impact their safety and load-bearing performance. However, current research in this field remains insufficient. In this study, the deformation, stress distribution, and stability of large-span insulated plastic greenhouses with different structural configurations were investigated using the finite element method. Subsequently, the ultimate bearing capacity of large-span insulated plastic greenhouses with varying ridge heights was examined. The research indicated that the greenhouse with a plane truss and double-layer tie rod exhibited the smallest deformation and stress in its members, as well as the highest ultimate load-bearing capacity. The analysis revealed that the installation of double-layer tie rods not only enhanced the collaborative effect of arch frames within the structural calculation unit but also reduced displacement along the Z direction, effectively mitigated the P-∆ effect, reduced out-of-plane bending stress, and improved the ultimate load-bearing capacity. Ridge height affected the load-bearing capacity of the greenhouse structure. However, a higher ridge height did not necessarily result in a stronger ultimate load-bearing capacity. The greenhouse structure with a ridge height of 5 m demonstrated the maximum ultimate load-bearing capacity, capable of bearing 1.98 times the initial load. This study provides theoretical support for the configuration of structural components of large-span insulated plastic greenhouses and offers a scientific basis for the optimal design of ridge height.
As urbanization accelerates and arable land becomes increasingly scarce, vertical farming and hydroponics have emerged as innovative solutions for sustainable food production within metropolitan environments. This chapter explores the technological … As urbanization accelerates and arable land becomes increasingly scarce, vertical farming and hydroponics have emerged as innovative solutions for sustainable food production within metropolitan environments. This chapter explores the technological advancements driving vertical farming and hydroponic systems, focusing on the integration of smart technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and cloud-based monitoring. Through IoT-enabled sensors, real-time data on environmental conditions—such as humidity, temperature, and nutrient levels—can be continuously monitored and adjusted for optimal plant growth. AI-driven analytics enhance predictive maintenance and resource optimization, minimizing waste and maximizing yield. Furthermore, automated climate control and LED-based grow lights replicate natural growing conditions, enabling year-round cultivation independent of weather variations. Case studies from global urban farming projects are presented to illustrate the transformative impact of these technologies on food security and sustainability.
Introduction Modern agriculture must begin to use production strategies that are increasingly sustainable. To help in decision-making, the present work analyzes the sustainability of greenhouse tomato production with different agroecological … Introduction Modern agriculture must begin to use production strategies that are increasingly sustainable. To help in decision-making, the present work analyzes the sustainability of greenhouse tomato production with different agroecological strategies: shading (conventional fixed mesh and mobile photovoltaic shading), grafting and deficit irrigation, based on economic, social, and environmental criteria. Methods For the ranking of the different strategies, the use of an extension of the CRiteria Importance Through Inter-criteria Correlation (CRITIC) is proposed, in which the correlation between the criteria is obtained through the Pearson-OWA, where the aggregation of the quadratic differences between criteria is carried out considering the attitudinal character of the decision-maker, that is, using Ordered Weighted Averaging (OWA), in addition to induced variables, with the Induced Probabilistic OWA CRITIC (IPOWA CRITIC). Three extensions are considered based on this model depending on the way the multicriteria score is calculated: i) the ranking is carried out on the relative score (S) of each alternative (IPOWA-S-CRITIC), ii) on the weighting vector (W) (IPOWA-W-CRITIC), or iii) on both (IPOWA-S-W-CRITIC). Results The results of the classifications conducted indicate that the use of mobile photovoltaic mesh is a sustainable production strategy, due to its effect on production and quality of the crop, CO2 fixation, and irrigation water savings. Discussion The use of mobile photovoltaic shades is compatible with tomato cultivation in a greenhouse if the management of the installation is performed considering the needs of the plants in most of the rankings.
El uso de plantas como protección solar está ganando interés debido a los múltiples beneficios del material vegetal, en contraste con los protectores solares convencionales. Sin embargo, su aplicación y … El uso de plantas como protección solar está ganando interés debido a los múltiples beneficios del material vegetal, en contraste con los protectores solares convencionales. Sin embargo, su aplicación y estudios están actualmente limitados por la complejidad de considerar variables orgánicas como parte de su rendimiento en relación con un contexto climático. Estas limitaciones son evidentes en los softwares de simulación digital, los cuales no permiten cuantificar los beneficios térmicos que distinguen esta protección de las convencionales en simulaciones de balance energético. Este trabajo presenta un método para evaluar el potencial de enfriamiento de fachadas de pantalla verde que permite al modelo diferenciar y medir el efecto de las fachadas de pantalla verde como dispositivo de sombreado y como estrategia de enfriamiento evaporativo. Para ello, se desarrolla un modelo higrotérmico integrando modelos de cálculo proporcionados por varios autores dentro de la plataforma Grasshopper usando los motores de simulación EnergyPlus. Los resultados muestran que es posible simular el comportamiento térmico virtual del material vegetal, incorporando la evapotranspiración de la planta y sus propiedades en el cálculo de las demandas de aire acondicionado de los edificios.
Shruti Ambulgekar | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Abstract - The Plant Guardian AI project introduces an innovative approach to plant care, leveraging the synergy of Internet of Things sensors, algorithms, and machine learning techniques to create an … Abstract - The Plant Guardian AI project introduces an innovative approach to plant care, leveraging the synergy of Internet of Things sensors, algorithms, and machine learning techniques to create an intelligent gardening system. By developing a smart gardening device capable of real-time plant health monitoring, and personalized care recommendations, this project is set to empower both beginners and experienced home gardeners. The system includes of hardware components such as microcontrollers, sensors, and actuators to collect real-time data on key environmental factors, such as soil moisture, temperature, humidity, and light intensity. The data is then processed and analyzed utilizing machine learning models to detect plant health issues, and predict watering and fertilization requirements, and provide with tailored care recommendations to users. Furthermore, the project offers a user-friendly web application that allows users access to real-time insights, historical trends, and proactive alerts, helping them to make well-informed decisions and take prompt action to ensure optimal plant health. Key Words: IoT, Machine Learning, Plant Health Monitoring, Remote Plant Care
Vegetables provide essential parts of healthy, balanced diets in our daily life. Climatic warming is challenging the global vegetable productions, but realistic real-time evidences, especially in temperate regions, are still … Vegetables provide essential parts of healthy, balanced diets in our daily life. Climatic warming is challenging the global vegetable productions, but realistic real-time evidences, especially in temperate regions, are still lacking. In this study, we developed two large, customized, fully artificial climate-controlled chambers capable of replicating the complexity of natural environmental fluctuations. We simulated two temperature treatments - the observed real-time daily average temperature over the past 32 years in northeast China, and an arbitrary increase of +2 °C for each day - on two leafy vegetables, pak choi and lettuce. The results show that warming shortened the growing-season length by 1-2 days for both vegetables. But on growth, the two vegetables differed greatly. The canopy development of lettuce was accelerated, with an increase in leaf area index, efficiency of photosynthesis, and final yield (+35.2%). Pak choi had only 6.8% of yield increase. Furthermore, we observed no significant change in the overall quality level of the two vegetables, although individual components varied. The real-time evidence imply the warming benefit to vegetable production in relatively cool conditions and future positive adaptations. © 2025 Society of Chemical Industry.
This paper presents a proposal for the design, development, and validation of a smart mini greenhouse intended for small-scale agricultural production. The main objective is to explore the feasibility of … This paper presents a proposal for the design, development, and validation of a smart mini greenhouse intended for small-scale agricultural production. The main objective is to explore the feasibility of a cost-efficient smart mini greenhouse prototype. This paper briefly analyses the parameters that influence the process of plant cultivation. Parameters such as air temperature, air and soil humidity, solar radiation and amount of carbon dioxide are analysed. Based on the analysis of the successful process of plant cultivation, sensors are selected for the condition monitoring in the mini greenhouse. By selecting various sensors, actuators and the control unit (Arduino), a system for condition monitoring and dosing of the necessary elements in the process of plant growth (agricultural production) is formed. With the help of computer design tools, a proposal for the construction of a mini-greenhouse is made. The proposed components for growth support and condition monitoring are integrated into the defined construction of the mini greenhouse. Testing is carried out by designing the control programme and implementing it. By building a mini greenhouse and integrating the selected components (sensors, actuators and other elements) with the control programme, the complete smart mini greenhouse was validated. The validation positively confirmed the proposed and built prototype model of a smart mini greenhouse for production.
Steven F. Barrett | Synthesis lectures on digital circuits and systems
Abstract Arabidopsis is regarded as the gold standard among plant systems because it has generated knowledge with translational potential across various disciplines. Nevertheless, the influence of less-explored fields within the … Abstract Arabidopsis is regarded as the gold standard among plant systems because it has generated knowledge with translational potential across various disciplines. Nevertheless, the influence of less-explored fields within the Arabidopsis community, such as ecology and evolutionary ecology, has yet to be synthesized to emphasize their contributions to other plant disciplines. This essay summarizes current eco-evolutionary knowledge in Arabidopsis and highlights its potential to enrich the insights made by the Arabidopsis community as well as others working with other plant model and non-model systems. We underline the value of accession-based approaches but also highlight the importance for developing population-based approaches to understand how and where evolutionary change begins. Furthermore, we focus on the evolutionary value of phenotypic plasticity as necessary to comprehend the response of organisms to environmental changes. We also elaborate on conceptual and technical challenges to transcriptomic studies conducted in field conditions that evaluate gene function and gene effect on integrated phenotypes in natural environments. Overall, we believe that the development of joint eco-evolutionary and genetic research in Arabidopsis can help other plant species to develop as model systems, but the Arabidopsis community should also look at the advances of other emerging plant model systems.
The construction of greenhouses in semi-urban areas implies the presence of neighboring buildings that can be an obstacle to natural ventilation, modifying the intensity and direction of air currents. However, … The construction of greenhouses in semi-urban areas implies the presence of neighboring buildings that can be an obstacle to natural ventilation, modifying the intensity and direction of air currents. However, they could also function as protective barriers against these currents at off-peak hours. The objective of this work was to analyze the effect of an external physical barrier on the thermal behavior and air currents inside a Gothic type greenhouse for tomato (Solanum lycopersicum L.) production. A 3D steady-state simulation was performed and validated using 15-day experimental temperature data with typical climatic conditions for the month of July 2023. The effect of the 3 m high external barrier was analyzed, which was placed at 5, 10, and 15 m distance from the greenhouse, located in the direction of the prevailing winds, on the fluid dynamic and thermal behavior inside the greenhouse. The results showed differences in the behavior of air currents inside the greenhouse with the presence of the external barrier, which affected the velocity and direction of the air inlet, accentuated by the proximity between the obstacle and the greenhouse. Under the studied conditions, placing the barrier 5 m away represents an advantage when there are low temperatures at dawn, managing to preserve the temperature inside the greenhouse up to 4 °C above the temperatures recorded in the barrier-free scenario or with the barrier 10 and 15 m away. The simulated data at 14:00 h showed differences of less than 0.4 °C between the cases with different barrier distances, so the influence of the barrier at the above-mentioned time is not significant.
Veselin Mengov , Nikolay Komitov , Georgi Komitov +2 more | Environment Technology Resources Proceedings of the International Scientific and Practical Conference
Water is known to be a chemical compound and plays an essential role in sustaining life on our planet. Fresh water on earth is only 2.5% and the problems with … Water is known to be a chemical compound and plays an essential role in sustaining life on our planet. Fresh water on earth is only 2.5% and the problems with the drought of the regions are known. Therefore, its sparing use will contribute to reducing this effect. This requires the revision of some of the policies of the agricultural sector and the implementation of new and innovative irrigation solutions. Through irrigation and their root system, plants grow and develop. The application of a proper irrigation regime will contribute to a reduction in water use. In this study, an attempt has been made to create an autonomous system for determining and applying the irrigation regime of plants. For this purpose, a greenhouse was used for the industrial production of cucumbers. A soil moisture sensor is used, and the signal is processed by software developed for this purpose, which produces a control signal for the beginning and end of the irrigation process. The process is controlled autonomously, depending on the current state of humidity and when a certain value is reached, the process is terminated. The sensor part is made of standard soil moisture sensors, and the control part is entrusted to a single-board computer with the ability to control via a wireless network.
Abstract This research examines how the movements an interface requires of a consumer—that is, its “kinesthetic properties”—can alter what a consumer attends to when responding and, in turn, change the … Abstract This research examines how the movements an interface requires of a consumer—that is, its “kinesthetic properties”—can alter what a consumer attends to when responding and, in turn, change the response itself. We compare the kinesthetic properties of two ubiquitous scale formats, slider and radio-button scales. Six studies (plus four in the Web Appendix) show dragging a slider (vs. clicking a radio button) elicits responses that are closer to the scale starting point. This effect occurs because the slider allows participants to engage with the scale as they consider their options. When dragging past each response option, attention is directed to that option, increasing its chance of being selected. Supporting this account, sliders only result in responses closer to the starting point when participants physically drag the cursor across options to their desired response, not when they directly click on it. Furthermore, participants dragging a slider interact with the scale earlier in the judgment process and exhibit a greater visual focus on left-side (vs. right-side) options on the scale compared to participants clicking a radio button. These findings suggest marketers, graphic designers, and researchers should consider how the kinesthetic properties of digital interfaces may shape consumer judgment.
| ARPN Journal of Engineering and Applied Sciences
This study introduces an innovative approach to greenhouse farming by developing an automated greenhouse with a control system, utilizing the Arduino Uno and Nvidia Jetson Nano. Acknowledging the limitations of … This study introduces an innovative approach to greenhouse farming by developing an automated greenhouse with a control system, utilizing the Arduino Uno and Nvidia Jetson Nano. Acknowledging the limitations of traditional methods reliant on manual labour, the automated greenhouse integrates sensors and control systems to regulate temperature, humidity, soil moisture, water level, and light. By automating processes such as irrigation and ventilation, the system optimizes plant growth and yield while reducing energy consumption and labour costs. The project's primary objective is to revolutionize crop cultivation by creating a precise environmental control system and utilizing data analysis tools. The study envisions a cloud-based platform for real-time monitoring and control, emphasizing the potential to enhance efficiency and sustainability in greenhouse farming. Through performance assessments and a focus on scalability for commercial use, the project aims to achieve significant results in transforming agricultural practices. Overall, the utilization of Arduino Uno and Jetson Nano, combined with the project's objectives and achievements, underscores its importance in advancing greenhouse farming towards greater efficiency and sustainability.
Stomatal responses to atmospheric conditions are critical for balancing plant CO2 gain with water loss. Yet, the question of whether stomata respond directly to humidity or to the rate of … Stomatal responses to atmospheric conditions are critical for balancing plant CO2 gain with water loss. Yet, the question of whether stomata respond directly to humidity or to the rate of water loss (transpiration) remains unresolved due to the tight coupling between these variables. To decouple them, we manipulated water vapor diffusivity using Helox (21% O₂, 79% He), where vapor diffuses 2.33 times faster than in air, and Argox (21% O₂, 79% Ar), where it diffuses 0.75 times slower. This allows control of VPD and transpiration independent of one another while maintaining a constant leaf temperature. We investigated the stomatal conductance (gsw) responses to air and Helox in several plant species, including Solanum lycopersicum, Vitis vinifera, and the fern Nephrolepis exaltata. In addition, we tested the Commelina communis, with coupled gas exchange and real-time imaging of stomatal aperture in intact leaves. In all angiosperms tested, we observed that stomatal closing was triggered exclusively by reductions in RH rather than by transpiration increases. When transpiration increased, but relative humidity remained constant, we detected an increase in gsw without a following decrease in the experimental time span. Exposure to Argox without altering RH reduced transpiration, likely enabling restoration of epidermal turgor and inducing passive mechanical closure. However, the rate of stomatal closure under reduced RH was 2.35 times faster than that observed under Argox, suggesting that passive turgor-driven responses cannot fully explain the kinetics or extent of closure under dry air. This work provides direct experimental evidence for humidity-driven stomatal closure