Developed an AI-driven solution using deep learning to predict irrigation requirements for agricultural fields.
The system leverages environmental and soil data to recommend optimal irrigation timing, contributing to efficient water management and cost reduction.
What I delivered:
End-to-end ML pipeline (data preprocessing → modeling → evaluation)
Deep learning model for prediction
Performance analysis and optimization
Business Value:
Minimizes water waste
Improves crop yield efficiency
Supports data-driven agricultural decisions