A Model Based Comparative Study for Conventional and Drone Based Farming: Case Studies from India
摘要
Agriculture in India largely depend on conventional farming methods, exemplified by high labor costs, inefficient resource utilization, and suboptimal yields. This study explores the transformative potential of precision agriculture using drones through a detailed cost comparison with conventional practices. Focusing on two Indian farmers, the analysis examines labor costs, cultivation yields, and chemical usage. For farm area 1 (wheat, Uttar Pradesh), conventional labor costs per season are reduced by 29.8% with drones, while chemical usage decreases by approximately 40% and yield improves from 1 ton to 1.2 tons per acre. For farm area 2 (paddy, Andhra Pradesh), labor costs drop by 19.1%, with similar reductions in chemical inputs and a yield increase from 2 tons to 2.5 tons per acre. A drone based farming estimate shows how this technology can reduce costs by 19–29%, minimize chemical wastage by 40%, and enhance yields by 20–25%, offering a sustainable and profitable alternative for Indian agriculture.