Low Cost IoT Based Smart Irrigation System for Potato Cultivation

In today's world Smart agriculture is playing vital role to enhance quality and quantity of food production with optimum utilization of farmers' time and efforts. Smart irrigation is an important component of it. Potato cultivation needs regular irrigation for maintaining the required soil moisture. Potato plants are normally grown in dry season. Therefore, scarcity of water for irrigation is observed in many potato fields. Here we have proposed a smart irrigation system for optimum usage of water during irrigation in potato fields. Prior to performing smart irrigation, various soil parameters were monitored, like soil type, humidity, and temperature of the atmosphere. To ensure the quality of water that is to be supplied to the potato plants, the water pH was also checked. Data from the sensors were transferred to the edge server using Low-Power Wide Area Network (LPWAN) technology and from the edge server to the cloud using the Message Queuing Telemetry Transport (MQTT) protocol. Machine learning classification models and Deep belief neural network (DBNN) are employed to create intelligent irrigation systems, and a quick comparative analysis has been done with earlier studies. The results obtained helped us to conclude that our system achieved optimum use of water for irrigation.