Designing monitor and control system of internet of things (IoT) based solar powered smart greenhouse prototype
S Anuar, M Y Puriza, Welly Yandi, A A Rachmani, Yandi Anzari
Abstract
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S Anuar, M Y Puriza, Welly Yandi, A A Rachmani, Yandi Anzari
Abstract
Open-access reader
Abstract This study aims to produce a prototype of greenhouse system which is used for nursery that can be maintained and controlled remotely. The design and control employs power supply from solar panels and applies ESP-32 as a data processor which will be sent on Telegram App. Controlling and monitoring in this study are observed from the comparison between temperature, growth, and plant weight which are performed both automatically in a smart greenhouse and manually cultivated in non-greenhouse. The results obtained at the highest temperature of the smart greenhouse was on the 19 th day of testing was 36.10°C and for the manually cultivated in non-greenhouse the temperature was 34.65°C on the 16 th day. The lowest temperature for the smart greenhouse was on the 27 th day of testing which was 27.51°C and for the manually cultivated in non-greenhouse was 26.64°C. As a result, the plants growth for each treatment increased every week. Plants growth in the smart greenhouse is higher than the growth rate in the manually cultivated in non-greenhouse. Plants weight that had measured are averagely 159 grams in smart greenhouse and 123 grams for the manually cultivated in non-greenhouse.
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Abstract This study aims to produce a prototype of greenhouse system which is used for nursery that can be maintained and controlled remotely. The design and control employs power supply from solar panels and applies ESP-32 as a data processor which will be sent on Telegram App. Controlling and monitoring in this study are observed from the comparison between temperature, growth, and plant weight which are performed both automatically in a smart greenhouse and manually cultivated in non-greenhouse. The results obtained at the highest temperature of the smart greenhouse was on the 19 th day of testing was 36.10°C and for the manually cultivated in non-greenhouse the temperature was 34.65°C on the 16 th day. The lowest temperature for the smart greenhouse was on the 27 th day of testing which was 27.51°C and for the manually cultivated in non-greenhouse was 26.64°C. As a result, the plants growth for each treatment increased every week. Plants growth in the smart greenhouse is higher than the growth rate in the manually cultivated in non-greenhouse. Plants weight that had measured are averagely 159 grams in smart greenhouse and 123 grams for the manually cultivated in non-greenhouse.
Key concepts: Greenhouse, Internet of Things, Green house, Environmental science, Solar greenhouse, Agricultural engineering, Computer science, Engineering