AI IN SOIL HEALTH ANALYSIS:ADVANCING SUSTAINABLE

The integration of Artificial Intelligence (AI) in soil data analysis is transforming agriculture by making it more intelligent, efficient, and sustainable. AI enhances the processes of soil data collection, processing, and interpretation, empowering farmers with informed decision-making capabilities. Major advancements include cutting-edge sensors, sophisticated machine learning algorithms, and advanced soil health assessment techniques. Additionally, AI facilitates precision agriculture through automated machinery and real-time decision support systems. Collaborative efforts enabled by data sharing and emerging technologies like edge computing and blockchain are further driving innovation. These advancements collectively aim to improve agricultural productivity, promote sustainability, and ensure global food security.