📚 Syllabus & Course Curriculum
Agriculture & Food Technology
Module-by-module breakdown of AI for Crop Disease Detection using Hyperspectral and Drone Imaging, from foundations to a certified capstone project.
Outline
Introduce AI concepts for precision agriculture • Explore crop disease symptoms and stress indicators • Compare RGB, multispectral, and hyperspectral imaging • Calculate spectral signatures and vegetation indices
Outline
Preprocess drone and hyperspectral images with OpenCV • Enhance, resize, segment, and extract features • Apply vegetation indices for pattern identification • Build a basic CNN model using TensorFlow/Keras
Outline
Process raster data with Rasterio for field‑scale analysis • Map stress zones and disease‑prone areas • Integrate spectral features, indices, and AI predictions • Visualize outputs for decision‑making
Earn government-registered certification in AI for Crop Disease Detection using Hyperspectral and Drone Imaging
e-Certificate and e-Marksheet issued on successful completion.
