Remote Assistant Technology for Real Time Monitoring of the Agricultural Farmland across the Districts Using Smart Positioning IoT

Abstract

Precision agriculture, land surveys, and positioning measures are useful to society for accurate mapping of boundaries in the local agricultural area. An existing approach uses Global Navigation technologies with a deviation accuracy of 10% with geo fencing mechanism. However, a Navigation system needs the support of advanced positioning technology to improve positioning accuracy. In the paper, a novel approach to positioning is proposed. The approach includes a digital classification and optimization of area mapping, enhancement of correlation data, analysis through an expert system and clustering of delineation zones using an optimized Artificial Bee Colony algorithm. Precision accuracy is achieved by the correction of zonal map boundaries and radio frequency sensors. The real time kinematics technique is applied further to do the deviation corrections, improvement, and optimization. An experiment was carried out in real time between two districts, namely Bangalore and Tumakuru, where the distance was nearly 60 km. An optimized artificial bee colony algorithm is used to correct errors and improve positioning accuracy. The real time field trail data is analyzed, calibrated, and improved further to obtain a precision accuracy of 99.9%.