Paper Contents
Abstract
The integration of robotics and Artificial Intelligence (AI) in agriculture is revolutionizing farming practices by enhancing precision, efficiency, and sustainability. Robotics automates tasks like planting, harvesting, and monitoring, reducing labour costs and increasing productivity, while AI enables real-time data analysis for optimized crop management through predictive modelling. Autonomous machinery such as drones and tractors reduce reliance on manual labour and supports continuous operation, contributing to sustainability by optimizing resource usage and minimizing waste. Drones play a crucial role by offering high-resolution imagery and multispectral data, which enhance crop monitoring, precision irrigation, and pest management. They enable farmers to assess crop health, identify water stress, and detect early signs of pests or diseases, leading to timely and precise interventions. These technologies improve resource efficiency, reduce environmental impact, and lower costs. Despite significant benefits, challenges like high implementation costs, the need for skilled operators, and data privacy concerns hinder widespread adoption. However, advancements in machine learning, blockchain for traceability, and autonomous systems are expected to enhance the adoption and efficacy of these technologies, reshaping agricultural practices and rural economies.
Copyright
Copyright © 2024 YASASWANI KOTA. This is an open access article distributed under the Creative Commons Attribution License.
