Smart Crops Irrigation System with Low Energy Consumption

Nyakuri Jean Pierre; Bikorimana Sefu; Bahizi Venuste; Mirembe Jean D’Amour; Kanyarwanda Daniel; Nzemerimana Jean Pierre; Kalisa Jean Bosco; Harerimana Felix

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자료유형: 학술저널

저자정보: Nyakuri Jean Pierre (Rwanda Polytechnic IPRC-Gishari) Bikorimana Sefu (Rwanda Polytechnic IPRC-Gishari) Bahizi Venuste (Rwanda Polytechnic IPRC-Gishari) Mirembe Jean D’Amour (Rwanda Polytechnic IPRC-Gishari) Kanyarwanda Daniel (Rwanda Polytechnic IPRC-Gishari) Nzemerimana Jean Pierre (Rwanda Polytechnic IPRC-Gishari) Kalisa Jean Bosco (Rwanda Polytechnic IPRC-Gishari) Harerimana Felix (Rwanda Polytechnic IPRC-Gishari)

저널정보: 적정기술학회 적정기술학회지 적정기술학회지(Journal of Appropriate Technology) 제9권 제1호

발행연도: 2023.4

수록면: 9 - 19 (11page)

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The COVID-19 preventive measurements restrict farm-workers from travel to their farms, social distancing and lockdown to prevent them from getting infected. Consequently, farming and irrigation activities are dramatically reduced due to shortage of farm-workers and reduction of crops production. To find solutions, various technologies have been adopted to remotely connect farmers with their farm-fields from their homes and perform the same work as they are in the farm. An Internet of Things (IoT) approach, modern sensor technologies, and smart irrigation equipment are coupled to allow the collection of the field data for automatic irrigation of the field. This paper presents the IoT system based on Fuzzy logic controller that assists farmers to receive and monitor necessary irrigation data from the farm field through their smart phones and PCs. The Wireless Sensor Networks (WSNs) are deployed in the field to measure the water content in the soil and water used for plants by measuring the soil moisture dynamics throughout the entire duration of the crop growing sea- son in the Maize crop farm. The Fuzzy logic controller was used for data analytics and intelligent decision making as well as Fuzzy logic toolbox in MATLAB to simulate irrigation scheduling process. The system saves 50% of water and energy consumption for irrigation, 80% reduction of farm-workers and increase in 20% of crop production.

#Fuzzy logic #Soil moisture #IoT #GSM #WSN #Mobile app #MATLAB

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