Course curriculum

    1. Welcome and Overview

    2. AI Fundamentals in AgTech

    3. ML Applications in Agriculture

    4. IoT and ML-Based Crop Analysis

    5. AI-Based Crop Analysis and Prediction

    6. Supervised Learning for Crop Disease Classification

    7. Unsupervised Learning in Soil Health Analysis

    8. Regression Models for Crop Yield Prediction

    9. Reinforcement Learning in Resource Optimization

    10. IoT Integration for Real Time Data

    1. Crop Rotation Recommendations

    2. Precision Pesticide Application

    3. Multi-Objective Optimization in Sustainable Farming

    4. Scenario Simulation for Sustainable Practices

    5. AI in Livestock Management

    6. Automated Harvesting Systems

About this course

  • $295.00
  • 16 lessons
  • 1 hour of video content