📚 Syllabus & Course Curriculum
Agriculture & Food Technology
Module-by-module breakdown of Oceanic Plastic Waste Detection with AI and Remote Sensing, from foundations to a certified capstone project.
Outline
Analyze satellite imagery using Sentinel-2 SWIR bands to detect floating plastic waste. • Apply multi-scale detection techniques using satellite and UAV imagery with Super-Resolution GANs. • Implement debris segmentation using U-Net and DeepLabV3+.
Outline
Model ocean transport using Eulerian and Lagrangian approaches. • Develop RNN-based drift forecasting models for marine debris. • Predict debris accumulation zones using ConvLSTM heatmap prediction.
Outline
Apply reinforcement learning for autonomous vessel routing. • Implement YOLO-based waste classification. • Coordinate drone swarms for debris scouting.
Earn government-registered certification in Oceanic Plastic Waste Detection with AI and Remote Sensing
e-Certificate and e-Marksheet issued on successful completion.
