AI-POWERED PRECISION AGRICULTURE: RESHAPING FARMING FOR EFFICIENCY, SUSTAINABILITY, AND GLOBAL IMPACT

Abstract

This article delves into the transformative effects of Artificial Intelligence (AI) on precision agriculture, also known as AgriTech or AgTech. The convergence of AI and farming practices reshapes the industry by leveraging machine learning, data analytics, and automation to optimize resource allocation and decision-making. Precision agriculture maximizes crop yields while minimizing waste through real-time data from AI technologies such as remote sensing, satellite imagery, and IoT sensors. AI-driven insights enable precise recommendations for irrigation, fertilization, and pest control, enhancing productivity and reducing environmental impact. Moreover, AI enhances crop health assessment, accelerates genetic research, and fosters climate-resilient crops. The article explores AI's potential in predictive analytics, genetic editing, global food security, and sustainable practices. Automation in agriculture tasks via AI-driven robotics and machinery elevates productivity. While AI offers positive environmental impact through resource optimization and energy efficiency, concerns about energy consumption and hardware management warrant attention. A balanced approach to AI's development, embracing energy-efficient algorithms and renewable energy integration, ensures its positive contribution to sustainable practices. The article concludes by discussing potential research directions and the complex interplay of AI's benefits and environmental concerns.