2020
DOI: 10.5121/ijfls.2020.10102
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A Simulation Based Study of A Greenhouse System with Intelligent Fuzzy Logic

Abstract: Greenhouse (GHS) system is a system, that provides an efficient condition to grow plants. This research paper describes designing of a greenhouse system to control climate, soil moisture, lighting using fuzzy logic. The proposed model consists fuzzy logic to control GHS parameter such as temperature, Humidity, light, soil moisture and watering system to the plant. In this proposed system temperature controlling controller is used to take current temperature as input by using temperature sensor and its deviatio… Show more

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Cited by 7 publications
(5 citation statements)
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References 16 publications
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“…In the articles [9,10] physical and mathematical foundations of forecasting the temperature dynamics in greenhouses are grounded on the basis of adaptive measuring monitoring of the greenhouse indoor microclimate and external climatic factors. In articles [11][12][13],…”
Section: Analysis and Generalization Of Known Research Resultsmentioning
confidence: 99%
“…In the articles [9,10] physical and mathematical foundations of forecasting the temperature dynamics in greenhouses are grounded on the basis of adaptive measuring monitoring of the greenhouse indoor microclimate and external climatic factors. In articles [11][12][13],…”
Section: Analysis and Generalization Of Known Research Resultsmentioning
confidence: 99%
“…By increasing the relative humidity inside the greenhouse using a cooling fan, the temperature can be reduced during high-temperature conditions (Kale et al, 2006). Mostakim et al, (2020) implemented fuzzy logic in the proposed framework to control GHS variables, including temperature, humidity, light, soil moisture, and the watering system of the plant, and in their research, the temperature-controlling controller employed a temperature sensor to obtain the current temperature as input. Another study was conducted to put into practice the characteristics of a ZigBee wireless sensor network-based greenhouse monitoring system (Lamprinos et al, 2015).…”
Section: )mentioning
confidence: 99%
“…University or institution (first author) Type Country [23] School of Science and Engineering, UNESP Public Brazil [11] Islamic Azad University Private Iran [20] Universidad Autónoma de Querétaro Public Mexico [13] Universidade de TrásosMontes e Alto Douro Public Portugal [2] University BadjiMokhtar Public Algeria [3] Don State Technical University Public Russia [4] Universidad de Valladolid Public Spain [21] Universidad del Magdalena Public Colombia [6] University of Tehran Public Iran [7] URERMS Public Algeria [18] Universidad Autónoma Chapingo Public Mexico [14] University BadjiMokhtar Public Algeria [9] Tunis El Manar University Public Tunisia [19] Birla Institute of Technology and Science Pilani Private India [15] Zhejiang Univesity City College Public China [12] University of Water Resources and Electric Power Public China [22] Shenyang University Public China [1] Zhejiang University of Technology Public China [24] Suzhou Institute of Industrial Technology Public China [28] Ehime University Public Japan [29] Beijing Institute of Technology Public China [30] Sichuan Agricultural University Public China [31] China Jiliang University Public China [32] University BadjiMokhtar Public Algeria [33] École nationale d'ingénieurs de Sfax Public Tunisia [34] Menoufia University Public Egypt [35] University of Toulon Public France [36] St John's University Private Taiwan [37] Universidad Tecnológica de Querétaro Public Mexico [38] King Abdulaziz University Public Saudi Arabia [39] Technological Educational Institute of Crete Public Greece [40] Maulana Azad National Institute of Technology Public India [41] Atish Dipankar University of Science and Technology Private Bangladesh…”
Section: Authorshipmentioning
confidence: 99%