Optimizing Resource Allocation in Agriculture through IoT and AI

Abstract

Irrigation, fertilisation, and crop rotation has gained paramount importance in the agricultural industry. Technological advances motivate farmers to achieve optimum crop yields. Maximising crop yield via the deployment of cutting-edge agricultural technology is the recent research trend. Increased yields can be achieved by considering various parameters including soil temperature, soil pH, and water availability. This research work proposes the an IoT-based Precision Agriculture system called “ACRIS: Agriculture Cultivation Recommender and Smart Irrigation System” to provide helpful suggestions to farmers interested in increasing the crop yields by using the Internet of Things technology. The suggested method works well in monitoring the agricultural crops. The proposed system is also capable of determining future irrigation planning requirements. Soil conditions like moisture, temperature, and humidity are used as predictors. These experimental results show that the smart irrigation may increase the crop output while decreasing water usage.