Optimal Solution for Pest Controlling and Precision Agricultural System Using IIot

Abstract

By facilitating better monitoring, automation, and data-driven decision-making, the IIoT has transformed several industries, including agriculture. The goal of this study is to boost crop yields, decrease resource use, and minimise environmental effect by proposing an ideal solution for pest management and precision agriculture utilisingIIoT. Our method involves the use of an interconnected system of Internet of Things (IoT) sensors and devices to monitor soil quality, weather trends, crop vitality, and insect infestations in real time. All of this information is sent to one place, and then sophisticated analytics and machine learning algorithms are used to get useful insights. Automatic actions, such as precise dosing of pesticides, changes to irrigation schedules, and monitoring of crop health, are guided by these data. For more effective and efficient pest management and agricultural activities, the suggested system makes use of drones and autonomous vehicles. via the use of IIoT, we guarantee a comprehensive strategy that tackles pest control while simultaneously improving agricultural output via precision agriculture methods.