A Smart Water Management in a Paddy Field Using IOT Technology and Machine Learning

Main Article Content

Sangtong Boonying


Alternative Wetting and Drying (AWD) is one of favorable rice growing methods since it lowers the costs for about 40% from less consumption of water, insecticide and fertilizer. This paper proposes a water management tool to help AWD rice farming. We design the tool with a combination of precision agriculture and smart farm from applying IoT and AI technology. Soil humidity and water level detection sensor are deployed to realize real-time and accurate essential environmental factors in a field while a pipe water-pump operated using electricity is designed to handle water in a field. The pump and sensors are connected with a network for an automatic operation using IoT. For decision-making, supervised learning technique is used to generate a model capable to consider when to operate a water pump from past data. This allows flexibility in generating decision-making rules for variation of locations and soil types with a requirement of having past data. From evaluations, experts satisfied with the proposed tool as the tool is well-designed for safety and proper performance. Regarding usefulness of the tool, experts and end-users rated high score for the ease of usage and its ability to reduce wasting of resource consumption comparing to the traditional method.

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Research Paper


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