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1

Papadopoulos, Athanasios P. "GREENHOUSE ENVIRONMENT OPTIMIZATION FOR SEEDLESS CUCUMBERS." HortScience 27, no. 6 (1992): 662c—662. http://dx.doi.org/10.21273/hortsci.27.6.662c.

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The greenhouse cover has previously been shown to have large effects upon the greenhouse environment, crop productivity and energy use. However, in most cases, because of inadequate treatment replication, the extent of these effects has been impossible to quantify with confidence. In the fall of 1987, a new greenhouse complex of 9 mini greenhouses (6.4m × 7.2m, each) was constructed at the Harrow Research Station on the principles of the 3×3 Latin Square experimental design and with glass, double polyethylene film and double acrylic panel greenhouse covers as the three levels of treatment in t
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Jeon, Yu-Jin, Joon Yong Kim, Kue-Seung Hwang, Woo-Jae Cho, Hak-Jin Kim, and Dae-Hyun Jung. "Machine Learning-Powered Forecasting of Climate Conditions in Smart Greenhouse Containing Netted Melons." Agronomy 14, no. 5 (2024): 1070. http://dx.doi.org/10.3390/agronomy14051070.

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The greenhouse environment plays a crucial role in providing favorable conditions for crop growth, significantly improving their quality and yield. Accurate prediction of greenhouse environmental factors is essential for their effective control. Although artificial intelligence technologies for predicting greenhouse environments have been researched recently, there are limitations in applying these to general greenhouse environments due to computing resources or issues with interpretability. Moreover, research on environmental prediction models specifically for melon greenhouses is also lackin
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Omer, Abdeen. "Cultivation of Organics in Controlled Environment Greenhouse." Nutrition and Food Processing 4, no. 4 (2021): 01–06. http://dx.doi.org/10.31579/2637-8914/056.

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A greenhouse is essentially an enclosed structure, which traps the short wavelength solar radiation and stores the long wavelength thermal radiation to create a favourable microclimate for higher productivity. The sun’s radiation incident on the greenhouse has two parts: direct radiation and an associated diffuse sky radiation. The diffuse part is not focused by the lenses and goes right through Frensel lenses onto the surface of the absorbers. This energy is absorbed and transformed into heat, which is then transported via the liquid medium in copper pipes to the water (heat) storage tanks or
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Bezari, Salah, Asma Adda, Salem Merabti, and Bahar Öztekin. "Artificial neural network model for microclimate performance of solar greenhouse with thermal storage." Thermal Science, no. 00 (2025): 101. https://doi.org/10.2298/tsci250213101b.

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Greenhouses are closed environments that allow growing plants out of season. Hence, indoor conditions of greenhouses are critically important and adjuste to support plant growth. Controlling the indoor environment is essential to maintain an ideal microclimate, which directly affects plant health and, consequently, their yields. By optimizing environmental conditions inside the greenhouse, it is possible to increase yields while reducing energy consumption, taking into account information from both indoor and outdoor environments, as internal parameters are influenced by the external environme
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P, Archana, Chaithanya N, Pavitra Viswanathan, Shalin M S, and Rajashekar J S. "IoT Technology for Monitoring and Control of Smart Greenhouses." IRO Journal on Sustainable Wireless Systems 6, no. 1 (2024): 17–27. http://dx.doi.org/10.36548/jsws.2024.1.002.

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A greenhouse is a covered structured area which protect the plants from extreme whether condition, providing a controlled environment for their growth and cultivation. The innovative Internet of Things (IoT) technology uses a series of sensors connected to a central computer to control the greenhouse environment. Greenhouse sensor systems include elements that monitor and control temperature, humidity, soil moisture, lighting, and external weather conditions. The research aims to design a greenhouse monitoring and control system based on the Internet of Things (IoT). In smart greenhouses, IoT
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Abdul, Qadeer. "Hydroponic agriculture in controlled environment: A review." International Journal of Biosciences (IJB) 16, no. 1 (2020): 407–16. https://doi.org/10.12692/ijb/16.1.407-416.

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World’s population is rapidly increasing result in urbanization, decrease in land holdings, low crop productivity, polluting water, air and soil while food demand has increased. To feed increased population new innovate techniques are important for the protecting environment and produce more in a limited area. Today protected cultivation in greenhouses is one of the most intensive farming technique in the world. Mostly horticultural crops are grown under controlled environment in a greenhouse where the variables such as temperature, humidity, light, soil, water, fertilizers etc. are mani
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Wongwatcharapaiboon, Jitiporn, Fa Likitswat, Sudaporn Sudprasert, and Saffa B. Riffat. "Monitoring Experiment of Melon Greenhouse’s Environment in Tropical Climate." International Journal of Building, Urban, Interior and Landscape Technology (BUILT) 22, no. 2 (2024): 255397. https://doi.org/10.56261/built.v22.255397.

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Greenhouses in tropical climates are designed to control passively the environment, protecting plants from pest and extreme climate condition, which is increasingly important due to climate change. This research aims to monitor a melon greenhouse's environment in a tropical climate to understand light intensity, pollutants, and climate conditions. Indoor and outdoor conditions of melon greenhouse were real-time monitored by Vantage VUE model, DAVIS weather station, PM2.5 meter and noise meter. The findings examined that peak light intensities were recorded at 135,600 lux outdoors and 32,050 lu
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Ghibeche, Ismail, Ahmed Nourani, Toufik Tayeb Naas, Salah Eddine Benziouche, Martin Buchholz, and Reiner Buchholz. "A computational fluid dynamics (CFD) modeling in a new design of closed greenhouse." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 1 (2024): 649–66. http://dx.doi.org/10.54021/seesv5n1-037.

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Closed greenhouses are crucial buildings for agriculture in controlled environments because they offer the best growing conditions for crops and shield them from outside influences. Researchers can now better optimize design parameters for increased crop output and energy efficiency by simulating airflow and temperature distribution inside closed greenhouses with the use of computational fluid dynamics (CFD) modeling. We examine the temperature distribution and airflow patterns inside the greenhouse under various environmental conditions using CFD simulations. Our findings show that, in compar
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Nemali, Krishna. "History of Controlled Environment Horticulture: Greenhouses." HortScience 57, no. 2 (2022): 239–46. http://dx.doi.org/10.21273/hortsci16160-21.

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Modern greenhouses are intensive farming systems designed to achieve high efficiency and productivity. Plants are produced year-round in greenhouses by maintaining the environment at or near optimum levels regardless of extreme weather conditions. Many scientific discoveries and technological advancements that happened in the past two centuries paved the way for current state-of-the-art greenhouses. These include, but are not limited to, advancements in climate-specific structural designs and glazing materials, and temperature control, artificial lighting, and hydroponic production systems. Gr
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Yogita, Gogawale, Gupta Pooja, and Gokhale Aditi. "Automatic Irrigation and Green House Environment Controlling Robotic System." International Journal of Innovative Science and Research Technology 7, no. 6 (2022): 435–39. https://doi.org/10.5281/zenodo.6791770.

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Centuries ago the Romans have created the first greenhouses to develop the “modern lifestyle” and where irrespective of season we can have fresh vegetables. Seeking a solution to the unavailability of fresh vegetables in every season, they started to grow plants indoors and thus invented the first greenhouses. The last century has seen many technological advances that have been used to construct more efficient and cheaper greenhouses, which in turn has made them available to the ordinary gardeners. Because of the invention of large sheets of polyethylene, the greenhouse constructio
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CHEBANOV, Taras, Volodymyr NOVYY, Yurii SLEPTSOV, Tatiana NOVAC, and Leonid CHEBANOV. "On the technology of construction of semi-closed greenhouses of the fifth generation." Ways to Improve Construction Efficiency 1, no. 54 (2024): 115–27. https://doi.org/10.32347/2707-501x.2024.54(1).115-127.

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The directions and trends of development of protected ground structures at the present stage are robotic greenhouses, nanotechnology, interactive environment, sensor and LED systems, development of cannabis growing technologies, etc. The development of the above directions is facilitated by the fact that large greenhouse complexes have exhausted their resource for further technological and technical development. Such an organization of greenhouse production suffers from large energy and financial losses and poses a serious problem for the environment. The possibilities of vertical greenhouses
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Zhao, Mingzhi, Ningbo Wang, Chun Chang, et al. "Comparative Analysis of the Filling Mass of Vertical Heat Exchanger Tubes on the Thermal Environment of Arched Greenhouses." Energies 16, no. 13 (2023): 5118. http://dx.doi.org/10.3390/en16135118.

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The greenhouse’s energy consumption is a major limiting factor for output and development. To address this, it is necessary to adopt green and low-carbon heating technologies to replace traditional fuels. This will not only help conserve energy but will also reduce emissions, thereby improving the thermal environmental conditions for agriculture. This paper aims to research and develop a vertical heat exchange tube array device specifically designed for greenhouses. The focus is on enhancing the passive heat absorption and heat storage efficiency of the device and its influence on the thermal
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Chen, Shuailiang, Aolong Liu, Fei Tang, Pei Hou, Yanli Lu, and Pei Yuan. "A Review of Environmental Control Strategies and Models for Modern Agricultural Greenhouses." Sensors 25, no. 5 (2025): 1388. https://doi.org/10.3390/s25051388.

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As crucial sites for optimizing crop growth conditions, greenhouses have gained increasing favor among scholars due to their potential to significantly enhance food production. Greenhouse control involves regulating environmental parameters such as temperature, humidity, light, and CO2 concentration to ensure an optimal growth environment for crops while conserving energy. This paper provides an overview of various strategies for controlling greenhouse environments, encompassing structural control, environmental parameter management, and control algorithms, and points out that the integration
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14

Du, Jian Jun, Xin Yu Guo, Jian Wei Wu, and Bao Zhu Yang. "Dynamic Simulation of Thermal Environment of Solar Greenhouse Using State-Space Method." Applied Mechanics and Materials 525 (February 2014): 531–35. http://dx.doi.org/10.4028/www.scientific.net/amm.525.531.

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A dynamic simulation method of thermal environment was presented to evaluate the thermal performance of solar greenhouse. Solar greenhouse was firstly simplified into several components according to characteristics of its structure and materials, and then each component was divided into several temperature elements. For each element, heat balance equation was respectively built and integrated into a lumped model which was used to describe the thermal system of solar greenhouse. Consequently, a dynamic simulation based on state-space method was developed to calculate indoor temperature variatio
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Zhang, Zhi, Yu Li, Liqiang Wang, Weiwei Cheng, and Zhonghua Liu. "A Study of the Soil–Wall–Indoor Air Thermal Environment in a Solar Greenhouse." Sensors 25, no. 13 (2025): 4041. https://doi.org/10.3390/s25134041.

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Greenhouses offer optimal environments for crop cultivation during the winter months. The rationale for this study was identified as the synergistic exchange of air between the soil, the wall, and the indoor environment within the greenhouse (referring to the coupling law of the temperature fields of the three elements in space and time, including the direction of heat transfer and the consistency of the temperature zoning), thereby maintaining a more optimal temperature. However, there is a paucity of research on the impact of different spans on the thermal environment in solar greenhouses an
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16

Sigrimis, Nick, and Robert E. King. "Advances in greenhouse environment control." Computers and Electronics in Agriculture 26, no. 3 (2000): 217–19. http://dx.doi.org/10.1016/s0168-1699(00)00076-4.

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17

Silva, Ana Maria, and Rui Rosa. "Radiative environment inside a greenhouse." Agricultural and Forest Meteorology 33, no. 4 (1985): 339–46. http://dx.doi.org/10.1016/0168-1923(85)90033-4.

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López-Martínez, Javier, José-Luis Blanco-Claraco, José Pérez-Alonso, and Ángel-Jesús Callejón-Ferre. "Distributed network for measuring climatic parameters in heterogeneous environments: Application in a greenhouse." Distributed network for measuring climatic parameters in heterogeneous environments: Application in a greenhouse 145 (January 4, 2018): 105–21. https://doi.org/10.1016/j.compag.2017.12.028.

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In Mediterranean countries of Southern Europe, the climatic conditions are usually favourable to cultivate greenhouse vegetables but not always for workers. The aim of this study was to design a network of weather stations capable of gathering data of environmental parameters related to the wellbeing of workers in greenhouses in south-eastern Spain. The unevenness of the thermal environment was studied both vertically as well as horizontally following guideline ISO 7726. The results indicate that the greenhouse should be considered a heterogeneous environment, implying that, for an evaluation
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Rahman, Dr Monjurul, and Dr Murshed Awal. "Research Exploring Greenhouse Environment Control over the Last 50 Years." American Journal of Agriculture and Biomedical Engineering 05, no. 05 (2023): 01–03. http://dx.doi.org/10.37547/tajabe/volume05issue05-01.

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Research exploring greenhouse environment control over the last 50 years has led to significant advancements in understanding the effects of environmental factors on plant growth and productivity. This article provides a comprehensive review of the research conducted over the last 50 years, including the methodology, results, and implications for the future of greenhouse agriculture. The studies involve monitoring and controlling various environmental factors in a greenhouse or growth chamber to create optimal growing conditions for plants. The results indicate that optimal growing conditions
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Kim, Hyung-Kweon, Si-Young Lee, Jin-Kyung Kwon, and Yong-Hyeon Kim. "Evaluating the Effect of Cover Materials on Greenhouse Microclimates and Thermal Performance." Agronomy 12, no. 1 (2022): 143. http://dx.doi.org/10.3390/agronomy12010143.

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This study compared and analyzed changes in the microclimate and thermal environment inside single-span greenhouses covered with a single layer of plastic film, polycarbonate (PC), and glass. The results of the experiment show that the PC-covered greenhouse was the most favorable for managing the nighttime heating effect during the cold season. However, the glass-covered greenhouse was found to be the most favorable for managing the cooling effect during the hot season. Although the plastic-covered greenhouse was inexpensive and easy to install, the air temperature inside varied significantly,
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Jethva, Kamlesh, and Girja Sharan. "Assessment of Environment Control in Arid Area Green house coupled with Earth Tube Heat Exchanger." Current World Environment 11, no. 1 (2016): 243–50. http://dx.doi.org/10.12944/cwe.11.1.30.

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In hot arid regions, yields are low and unstable, growing season limited to one. Greenhouses can stabilize and improve yields and extend seasons. But their adoption is impeded by the requirement of large amount of water for (evaporative) cooling. Arid Area Greenhouse (AAG) is developed to reduce or eliminate this need by employing earth-tube-heat-exchanger (ETHE). ETHE was able to heat the greenhouse from 9°C to 22-23°C in 30 minutes in the cold winter nights. Static ventilation along with shading was effective for day time to control till early March. Subsequently ETHE was also operated. Yiel
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Yuan, Ming, Zilin Zhang, Gangao Li, et al. "Multi-Parameter Prediction of Solar Greenhouse Environment Based on Multi-Source Data Fusion and Deep Learning." Agriculture 14, no. 8 (2024): 1245. http://dx.doi.org/10.3390/agriculture14081245.

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In the process of agricultural production in solar greenhouses, the key to the healthy growth of greenhouse crops lies in accurately predicting environmental conditions. However, there are complex couplings and nonlinear relationships among greenhouse environmental parameters. This study independently developed a greenhouse environmental acquisition system to achieve a comprehensive method for the monitoring of the greenhouse environment. Additionally, it proposed a multi-parameter and multi-node environmental prediction model for solar greenhouses based on the Golden Jackal Optimization-Convo
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Faust, James E., and Royal D. Heins. "SHOOT-TIP ENERGY BALANCE IN THE GREENHOUSE ENVIRONMENT." HortScience 28, no. 5 (1993): 489f—489. http://dx.doi.org/10.21273/hortsci.28.5.489f.

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The shoot-tip energy balance of Vinca (Catheranthus roseus L.) plugs in the greenhouse environment was quantified. The components of the energy-balance model were measured for four stages of plug development. A pyranometer and a total-hemispherical radiometer were used to measure the radiation component of the energy balance. A hot-wire anemometer was used to measure air velocity and fine-wire thermocouples measured air and plant temperatures. Evapotranspiration was measured with thin-beam load cells and a dewpoint hygrometer was used to determine the vapor-pressure deficits. The vinca plugs w
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Huang, Shuanggen, Quanyao Liu, Yan Wu, Minmin Chen, Hua Yin, and Jinhui Zhao. "Edible Mushroom Greenhouse Environment Prediction Model Based on Attention CNN-LSTM." Agronomy 14, no. 3 (2024): 473. http://dx.doi.org/10.3390/agronomy14030473.

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The large-scale production of edible mushrooms typically requires the use of greenhouses, as the greenhouse environment significantly affects the growth of edible mushrooms. It is crucial to effectively predict the temperature, humidity, and carbon dioxide fluctuations within the mushroom greenhouse for determining the environmental stress and pre-regulation of edible mushrooms. To address the nonlinearity, temporal dynamics, and strong coupling of the edible mushroom greenhouse environment, a temperature, humidity, and carbon dioxide prediction model based on the combination of the attention
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Seyed, Hamidreza Kasaei, Mohammadreza Kasaei Seyed, and Alireza Kasaei Seyed. "BRAIN Journal - Design and Development a Control and Monitoring System for Greenhouse Conditions Based-On Multi Agent System." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 2, no. 4 (2011): 28–35. https://doi.org/10.5281/zenodo.1042638.

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ABSTRACT The design of a multi-agent system for integrated management of greenhouse production is described. The model supports the integrated greenhouse production, with targets set to quality and quantity of produce with the minimum possible cost in resources and environmental consequences. In this paper, we propose a real time and robust system for monitoring and control of the greenhouse condition which can automatically control of greenhouse temperature, lights, humidity, CO2 concentration, sunshine, pH, salinity, water available, soil temperature and soil nutrient for efficient productio
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Li, Shu Jiang, Chen Wang, Xiang Yu Ke, and Xiang Dong Wang. "The Intelligent Control of Greenhouse Environment." Applied Mechanics and Materials 427-429 (September 2013): 533–36. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.533.

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The greenhouse is an important part of facilities agriculture,also is one of the focus of the development of modern agriculture. Including temperature and humidity are the two most important environmental factors in greenhouse, nonlinear, strong coupling relationship between them, increasing the difficulty of greenhouse control. According to this complicated problem, this paper establishes a model of greenhouse temperature and humidity, studies a kind of model based fuzzy PID intelligent greenhouse control algorithm,and used MATLAB/simulink simulation platform, set up a simulation system. Resu
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Faust, James E., and Royal D. Heins. "Modeling Shoot-tip Temperature in the Greenhouse Environment." Journal of the American Society for Horticultural Science 123, no. 2 (1998): 208–14. http://dx.doi.org/10.21273/jashs.123.2.208.

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An energy-balance model is described that predicts vinca (Catharanthus roseus L.) shoot-tip temperature using four environmental measurements: solar radiation and dry bulb, wet bulb, and glazing material temperature. The time and magnitude of the differences between shoot-tip and air temperature were determined in greenhouses maintained at air temperatures of 15, 20, 25, 30, or 35 °C. At night, shoot-tip temperature was always below air temperature. Shoot-tip temperature decreased from 0.5 to 5 °C below air temperature as greenhouse glass temperature decreased from 2 to 15 °C below air tempera
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Zhu, Zhenyi, Chunguang Bi, and You Tang. "Investigating Precise Decision-Making in Greenhouse Environments Based on Intelligent Optimization Algorithms." Processes 12, no. 5 (2024): 977. http://dx.doi.org/10.3390/pr12050977.

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The precise control of a greenhouse environment is vital in production. Currently, environmental control in traditional greenhouse production relies on experience, making it challenging to accurately control it, leading to environmental stress, resource waste, and pollution. Hence, this paper proposes a decision-making greenhouse environment control strategy that employs an existing monitoring system and intelligent algorithms to enhance greenhouse productivity and reduce costs. Specifically, a model library is created based on machine learning algorithms, and an intelligent optimization algor
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Chiarakul, Prayuth, Sarin Pinich, and Atch Sreshthaputra. "Monitoring Environmental Factors Associated with Indoor Growth Chambers and Greenhouses for Cannabis Cultivation." Journal of Architectural/Planning Research and Studies (JARS) 21, no. 2 (2024): 387–404. http://dx.doi.org/10.56261/jars.v21.264823.

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Greenhouse cultivation has no seasonal limitations and research is being conducted globally to assess control of environmental factors within greenhouses to optimize growing conditions. Attempts to improve the environmental factors in greenhouse cultivation include control of temperature, relative humidity, light intensity, carbon dioxide level, and air flow rate. Furthermore, indoor cultivation systems (growth chambers) have been developed and researched for comparison with greenhouse cultivation. In our study, comparative environmental data were collected in association with cannabis cultiva
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Holcman, Ester, Paulo C. Sentelhas, and Simone da C. Mello. "Microclimatic changes caused by different plastic coverings in greenhouses cultivated with cherry tomato in southern Brazil." Revista Brasileira de Meteorologia 30, no. 2 (2015): 125–33. http://dx.doi.org/10.1590/0102-778620140094.

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In regions with intense solar radiation it is common the use of aluminated covers in greenhouses, with the aim of reducing the inside temperature. However, the use of these covers reduces photosynthetic active radiation (PAR) transmitted into the greenhouse. The objective of the present study was to evaluate the influence of different covers on microclimate in greenhouses cultivated with cherry tomato during three growing seasons. The environment I was covered with plastic film anti-UV and with thermo-reflective screen (40%) disposed internally. The environment II was covered with diffusive pl
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Yeo, Uk-Hyeon, Sang-Yeon Lee, Se-Jun Park, et al. "Rooftop Greenhouse: (1) Design and Validation of a BES Model for a Plastic-Covered Greenhouse Considering the Tomato Crop Model and Natural Ventilation Characteristics." Agriculture 12, no. 7 (2022): 903. http://dx.doi.org/10.3390/agriculture12070903.

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Energy management of a building-integrated rooftop greenhouse (BiRTG) is considered one of the important factors. Accordingly, the interest in energy simulation models has increased. Energy load computed from the simulation model can be used for appropriate capacity calculation and optimal operation of the environmental control system. In particular, because the thermal environment of greenhouses is sensitive to the external weather environment, dynamic energy simulations, such as building energy simulation (BES), play an essential role in understanding the complex mechanisms of heat transfer
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Scarratt, J. B. "Greenhouse Managers: Beware Combustion Fumes in Container Greenhouses." Forestry Chronicle 61, no. 4 (1985): 308–11. http://dx.doi.org/10.5558/tfc61308-4.

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The combustion of fossil fuels produces a number of gases that can be phytotoxic to plants. Managers of container nurseries should be alert to the fact that entry of these combustion gases into the greenhouse environment can have serious effects upon tree seedlings. At high concentrations, seedlings may be severely damaged or killed outright. Chronic exposure to low levels of pollution can significantly reduce seedling growth even when no other visible symptoms are present. Careful design and layout of greenhouse facilities, and vigilance in the operation of heating equipment, generators and v
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Saha, Arijit. "Intelligent Greenhouse Monitoring System (IGMS) Integrated with GSM Technology." Asian Journal of Electrical Sciences 8, no. 1 (2019): 40–43. http://dx.doi.org/10.51983/ajes-2019.8.1.2334.

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GSM technology can be used to monitor different parameters of environment like temperature, humidity, light intensity etc. Within greenhouse the soil and weather shall not depend on the natural agents. Greenhouses are controlled-area-environment to grow plants. Due to lack of availability of land for growing plants, greenhouses are the need of the day for growing crops and other plants. Intelligent greenhouse monitoring system (IGMS) is an advanced technological approach through which farmers of rural areas will be benefitted. Through this approach the direct human supervision is not required,
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Yang, Wen Xiong, and Xiao Zhi Wang. "Radiation and Sunlight Greenhouse Light Environment Model." Applied Mechanics and Materials 716-717 (December 2014): 479–83. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.479.

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This paper outlines the research status of solar radiation at home and abroad, it discusses the weather cloud, greenhouse covering materials and other factors on the effect of light greenhouse environment, at the same time it summarizes the initial results of light greenhouse environment model simulation research, it also points out the research direction of unsolved problems and future on the light greenhouse environment, we consider the sunlight greenhouse with guidance and reference from the angle of light environmental.
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Omer, Abdeen Mustafa. "Analysis of Development in Solar Greenhouses." Academic Journal of Life Sciences, no. 82 (July 20, 2022): 14–32. http://dx.doi.org/10.32861/ajls.82.14.32.

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The move towards a de-carbonised world, driven partly by climate science and partly by the business opportunities it offers, will need the promotion of environmentally friendly alternatives, if an acceptable stabilisation level of atmospheric carbon dioxide is to be achieved. The use of natural resources that have not any air pollution or greenhouse gases and provides comfortable coexistence of human, livestock, and plants. The greenhouses require air conditioning process to control their temperature and relative humidity to suit specific plants. To achieve this goal, a novel air humidifier an
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Moon, Taewon, Joon Woo Lee, and Jung Eek Son. "Accurate Imputation of Greenhouse Environment Data for Data Integrity Utilizing Two-Dimensional Convolutional Neural Networks." Sensors 21, no. 6 (2021): 2187. http://dx.doi.org/10.3390/s21062187.

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Greenhouses require accurate and reliable data to interpret the microclimate and maximize resource use efficiency. However, greenhouse conditions are harsh for electrical sensors collecting environmental data. Convolutional neural networks (ConvNets) enable complex interpretation by multiplying the input data. The objective of this study was to impute missing tabular data collected from several greenhouses using a ConvNet architecture called U-Net. Various data-loss conditions with errors in individual sensors and in all sensors were assumed. The U-Net with a screen size of 50 exhibited the hi
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Andrade Júnior, Aderson S. de, Lisânea M. O. Damasceno, Nildo da S. Dias, Hans R. Gheyi, and Cristiane Guiselini. "Climate variations in greenhouse cultivated with gerbera and relationship with external conditions." Engenharia Agrícola 31, no. 5 (2011): 857–67. http://dx.doi.org/10.1590/s0100-69162011000500003.

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Black meshes used in greenhouses provide shade to plants, affecting photosynthesis and presenting certain properties that change the microclimatic conditions in these environments. The objective of this study was to evaluate the variation in climate elements in greenhouse cultivated with gerbera (Gerbera jamesonii, Vr. Rambo) in relation to external conditions and the reference evapotranspiration (ETo) at Teresina, State of Piauí, Brazil. The measurements were obtained from July to October 2007 by an automatic data acquisition system installed inside and outside the greenhouse. The global sola
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Léveillée-Dallaire, Xavier, Jasmin Raymond, Jónas Þór Snæbjörnsson, Hikari Fujii, and Hubert Langevin. "Performance Assessment of Horizontal Ground Heat Exchangers under a Greenhouse in Quebec, Canada." Energies 16, no. 15 (2023): 5596. http://dx.doi.org/10.3390/en16155596.

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Among the various approaches to agriculture, urban greenhouse farming has gained attention for its ability to address food security and disruptions to global food supply chains. However, the increasing impact of climate change and global warming necessitates sustainable methods for heating and cooling these greenhouses. In this study, we focused on the potential of slinky-coil horizontal ground heat exchangers (HGHEs) to meet the energy demands of urban greenhouses, assuming they are installed beneath the greenhouse to optimize space utilization. Climate data, an energy consumption profile for
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Dong, Gang. "Intelligent Greenhouse Control System Design Based on RF Technology Research." Applied Mechanics and Materials 687-691 (November 2014): 64–67. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.64.

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Greenhouses in the growth of the crops will often because of unfavorable environment not good growth, in order to be able to effectively control the temperature inside the greenhouse greenhouses, humidity, light intensity, make inside the greenhouse crop growth environment to fulfill the requirements of the best. This system by using HOLTEK series single-chip microcomputer as the control center, with various sensors for detecting module, peripheral equipment and control system in all parts of the corresponding function. Mainly by the power supply module, temperature and humidity and light inte
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40

Younesi-Alamouti, Mohammad. "Factors affecting energy consumption and productivity in greenhouses." Spanish Journal of Agricultural Research 19, no. 4 (2021): e0209-e0209. http://dx.doi.org/10.5424/sjar/2021194-16865.

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Aim of study: To investigate the impact factors affecting the greenhouse environment on energy consumption and productivity. Area of study: Alborz province of Iran during the period 2018–2020. Material and methods: In this study, 18 active units of greenhouse owners in Alborz province of Iran that had necessary standards were identified. Then, upper and lower amplitudes of the variables affecting productivity and energy consumption in greenhouses were calculated using a type-2 fuzzy neural network, Matlab 2017 software. Area, temperature, energy exchange, environmental evapotranspiration and r
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41

Takakura, T. "TECHNICAL MODELS OF THE GREENHOUSE ENVIRONMENT." Acta Horticulturae, no. 248 (September 1989): 49–54. http://dx.doi.org/10.17660/actahortic.1989.248.3.

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Wang, Chao, and Jian Ma. "Research of Greenhouse Environment Monitoring System." Advanced Materials Research 1030-1032 (September 2014): 1509–12. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1509.

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With the rapid development of Wireless Sensor Networks (WSN) and embedded technique, especially the widely application of Internet of Things technology, more and more attention has been paid in greenhouse monitor field. The aims design of system depends significantly on the application, and it must consider factors such as temperature, humidity, light intensity, co2 concentration and other environmental factors. These sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. All the environment factor information gathers by PC and embedde
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43

Honjo, Tsuyoshi, Naohiro Kohira, and En-Mi Lim. "Visualization of Greenhouse Environment by VRML." IFAC Proceedings Volumes 33, no. 29 (2000): 243–48. http://dx.doi.org/10.1016/s1474-6670(17)36784-8.

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S. Raj, Jennifer, and Vijitha Ananthi J. "AUTOMATION USING IOT IN GREENHOUSE ENVIRONMENT." Journal of Information Technology and Digital World 01, no. 01 (2019): 38–47. http://dx.doi.org/10.36548/jitdw.2019.1.005.

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Green house is generally a building of small or large structures. The structure of the green house is made of walls and the translucent roof, with the capability of maintaining the planned climatic condition. It ensures the growth of plants that requires a specified level of soil moisture, sunlight, humidity and temperature. The green house systems available are human monitored systems that entail the continuous human visit causing distress to the worker and also decrease in the yield if the temperature and the humidity are not properly and regularly maintained. This paves way for the concept
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45

Shubham, Borule, Ramteke Shubham, and Tamgadge Mohit. "Greenhouse Environment Monitoring and Controlling System." International Journal of Innovative Science and Research Technology 7, no. 12 (2022): 591–94. https://doi.org/10.5281/zenodo.7490852.

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Agriculture is a major part of our lives as human beings. A lot of research has been carried out in order to be able to develop a monitored and controlled greenhouse system/environment that will help in solving the main problems relating to agriculture which is to enable the increase in the crops being cultivated all year round in the comfort of a small space like the home, and also to reduce human interaction in a small-scale greenhouse environment. So accordingly, an automated greenhouse monitoring and control system was proposed for the sole purpose stated above. The methodology used in bui
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Bo, Yu, Yu Zhang, Kunpeng Zheng, et al. "Light environment simulation for a three-span plastic greenhouse based on greenhouse light environment simulation software." Energy 271 (May 2023): 126966. http://dx.doi.org/10.1016/j.energy.2023.126966.

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Jia, Yunsong, Shuaiqi Huang, and Xiang Li. "Complex event processing system for IoT greenhouse." E3S Web of Conferences 267 (2021): 01048. http://dx.doi.org/10.1051/e3sconf/202126701048.

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Greenhouse is an important part of facility agriculture and a typical application scenario of modern agricultural technology. The greenhouse environment has the characteristics of nonlinearity, strong coupling, large inertia, and multiple disturbances. There are many environmental factors and it is a typical complex system [7]. In smart greenhouses, control commands are mostly triggered by complex events with multi-dimensional information. In this paper, by building the aggregation structure of complex events in the greenhouse, the technology is applied in the greenhouse as a whole. The core i
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Peterson, Michael J., Jack R. Sutherland, and S. E. Tuller. "Greenhouse environment and epidemiology of grey mould of container-grown Douglas-fir seedlings." Canadian Journal of Forest Research 18, no. 8 (1988): 974–80. http://dx.doi.org/10.1139/x88-149.

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The environmental parameters associated with grey mould, Botrytiscinerea Fr.: Nocca & Balbis, on container-grown Douglas-fir, Pseudotsugamenziesii (Mirb.) Franco, were studied in a plastic-covered greenhouse and a fibreglass-covered greenhouse near Victoria, British Columbia. Disease losses and numbers of B. cinerea spores were much higher in the fibreglass-covered house, where seedlings were taller and more succulent because the fibreglass reduced light intensities. From July to October the length of time when the combination of temperature and relative humidity that favours B. cinerea sp
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Lu, Ziyang. "A Review of Intelligent Greenhouse Systems Based on Internet of Things Control Technology." Applied and Computational Engineering 148, no. 1 (2025): 44–50. https://doi.org/10.54254/2755-2721/2025.22577.

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With the rapid advancement of Internet of Things (IoT) technologies, intelligent greenhouses, as a critical component of modern agriculture, are progressively supplanting traditional farming practices and emerging as a cornerstone technology for precision agriculture. By integrating sensor technologies, automated control systems, cloud computing, and artificial intelligence algorithms, intelligent greenhouses facilitate precise monitoring and automated management of environmental parameters such as temperature, humidity, light intensity, and soil moisture. This integration not only enhances cr
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Jomaa, M., M. Abbes, F. Tadeo, and A. Mami. "Greenhouse Modeling, Validation and Climate Control based on Fuzzy Logic." Engineering, Technology & Applied Science Research 9, no. 4 (2019): 4405–10. http://dx.doi.org/10.48084/etasr.2871.

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This paper deals with the modeling and control of the air temperature and humidity in greenhouses. A physical model of the greenhouse used in the Simulink/Matlab environment is elaborated to simulate both temperature and indoor humidity. As a solution to the non-linearity and complexity of the greenhouse system, a fuzzy logic method is developed to control the actuators that are installed inside the greenhouse for heating, ventilation, humidification and cooling to obtain a suitable microclimate.
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