A Drone-based IoT Approach to Agriculture Automation and Increase Farm Yield

This paper proposes a smart agriculture system which include of soil sampling, drone seeding, pesticide/fertilizers spraying and farm condition monitoring through the application of IoT sensors and drones for new farms and farms practicing crop rotation. Drone will collect farm information such as soil humidity and pH value from ground sensor where farmer pre-plug in the farm. The connection between ground sensor and drone are using Zigbee due to its capability of wide range connection. The collected data will then transmit to gateway through LoRa and the information would then store in the cloud as data storage and data analysis. Through the proposed application we believe that the farming work is more automated and crop yield rate will improve.