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Optimal Plant Management System Via Automated Watering And Fertilization

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dc.contributor.author Che Rus, Amani
dc.contributor.author Basir Khan, Mohammed Reyasudin
dc.contributor.author Mohd Ali, Abdul Malik
dc.contributor.author Billah, Md Masum
dc.contributor.author UniKL BMI
dc.date.accessioned 2021-12-28T07:02:59Z
dc.date.available 2021-12-28T07:02:59Z
dc.date.issued 2020-05
dc.identifier.citation Amani Che Rus, Mohammed Reyasudin Basir Khan, Abdul Malik Mohd Ali, and Md Masum Billah (2020). Optimal Plant Management System via Automated Watering and Fertilization. AIP Conference Proceedings, Vol. 2233 (Issue 1). https://doi.org/10.1063/5.0001493 en_US
dc.identifier.uri http://hdl.handle.net/123456789/25261
dc.description.abstract Different type of plants needs different amount of fertilization and water. The high or low amount of water or fertilization daily can damage the plant’s roots leading to unhealthy crops. In this paper, a Smart Plant Management System to control the plant’s watering and fertilization based on their optimal growth conditions ranging from temperature to soil moisture presented. A conditional based algorithm deployed into the controller to determine the optimal condition for the plant based on schedule, temperature, humidity and soil condition. The controller will relay information to two pumps for necessary water and fertilization. The system comprises of Bluetooth connectivity to allow user to provide input through phone application based on type of plants alongside optimal temperature, humidity and soil moisture for the plant to grow. The system also capable to monitor the plant life, status, and management history. The selected plant selected for this study is green mustard (Brassica Parachinensis) or called choy sum locally. The performance of the Smart Plant Management system under several conditions to determine their performance in maintaining the plants optimal condition is tested. en_US
dc.language.iso en en_US
dc.publisher AIP Conference Proceedings en_US
dc.title Optimal Plant Management System Via Automated Watering And Fertilization en_US
dc.type Other en_US
dc.conference.name AIP Conference Proceedings, Volume 2233, Issue 1, 4 May 2020 en_US
dc.conference.year 2020 en_US


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