A Framework for Farm Land Allocation using Canny Edge Detection Algorithm and Google Earth

Abstract

Due to human mistake, farm land distribution used to be often quite complex, particularly when there are no enough farm lands. This research focuses on this core issue and seeks to developed a hybrid solution by integrating Canny Edge detection with Google Earth imaging. Farmlands will be photographed using Google Earth, the allocation will be made using the Canny edge recognition method, and a report containing the coordinates of each farm area will be printed. This research's final product will assist the three postsecondary institutions in distributing farmland to their communities and employees. Additional significance includes Boost the institutions' funding income. Supply the locals with more agricultural commodities. Boost the utilisation of agricultural farms' capability. Lower the staff and farmer's 
poverty rate. boost the effectiveness of the institutions' record-keeping.