Intelligent Drone-based IoT Technology for Smart Agriculture System
Mahmood A. Al-Shareeda, Selvakumar Manickam, Murtaja Ali Saare
Abstract
Drones and the Internet of Things (IoT) are two emerging technologies used in agriculture fields, which replace traditional farming practices with a modern era of rigorous cultivation. In this paper, we propose a smart agriculture system for new farms and farms that practice crop rotation by using drones and IoT sensors. Our proposal includes farm condition monitoring, pesticide/fertilizer spraying, drone seeding, and soil sampling. Additionally, our proposal not only uses Zigbee technology for the connection among the ground sensors and the drones but also applies Long Range (LoRa) technology to enable the gateway to transmit and store farm data in the cloud for data analysis and storage. The drone in our proposed collects farm data (e.g., pH value and soil humidity) from ground sensors that the farmer has already plugged into the farm. Finally, we anticipate that our proposal will increase crop output rates and make farming tasks more automated.