# AI & Machine Learning

* Predictive Analytics for crop health monitoring, weather pattern analysis, and yield forecasting
* AI-based Quality Assurance to detect contamination, irregularities, and nutrient deficiencies
* Automated Decision Making for precision farming, soil optimization, and water management
* Computer Vision for plant disease identification and automated grading of harvested crops
