Construction of an Autonomous Nutrient Sensor System Based on the Internet of Things (IoT) on Cassava Land
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Cassava farming in the Jonggol region faces various challenges, especially in terms of water and fertilizer use efficiency. Management that is still carried out manually often causes waste of resources, as well as difficulties in monitoring soil conditions in real-time. This research aims to develop and implement an Autonomous Nutrient Sensor System based on the Internet of Things (IoT) on cassava land in Jonggol, with a focus on efficient water and fertilizer management. The system allows for automatic and manual watering and fertilization arrangements, giving farmers flexibility in caring for cassava plants. Through web applications and mobile applications, farmers can access information related to soil and crop conditions, as well as remotely control watering and fertilizing crops. With the integration of sensor technology and IoT, this research has succeeded in providing a smart solution to improve the efficiency of resource use in precision agriculture, especially in cassava plants in a 10-hectare land area in Jonggol, allowing farmers to manage land more efficiently and effectively.
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