This course introduces learners to the application of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in sustainable agriculture. It emphasizes hands-on practice through real-world agricultural datasets, enabling participants to develop technical and practical skills in data collection using IoT and remote sensing, data preprocessing and visualization, AI model design and evaluation, and development of intelligent decision-support systems. Learners will build AI-powered solutions that advance sustainable farming, climate resilience, and resource optimization.
Course Syllabus