Glory-AI/gdrone-agrisense

UAV-based precision agriculture platform using multispectral remote sensing and AI for crop stress detection across Africa. # GDrone AgriSense ### Precision Agriculture via UAV Remote Sensing and AI > Part of the [GDrone Initiative] --- ## Overview Smallholder farmers across Africa manage over 70% of the region's food production with virtually no field-level data. Crop stress, disease, and soil degradation are identified only after yield loss is irreversible. **GDrone AgriSense** is a UAV-based precision agriculture platform that combines multispectral remote sensing and lightweight AI to detect crop stress, nutrient deficiency, and disease signatures before they become visible; and before they cost a harvest. --- ## The Problem | Challenge | Scale | |---|---| | Smallholder farms with no monitoring data | >70% of Africa's food production | | Crop stress detected only after damage | avg. 10–14 days too late | | Fertiliser/pesticide applied uniformly | high input waste, low precision | | Agricultural extension officers per farmer | critically understaffed | --- ## Proposed System Architecture UAV Flight Mission ⬇️ Multispectral Imaging (NIR, Red Edge, Thermal, RGB) ⬇️ Orthomosaic Generation (OpenDroneMap) ⬇️ Index Computation (NDVI, NDRE, Canopy Temp Difference) ⬇️ AI Inference; CNN Stress Classifier Stress Type (water / nutrient / disease / pest) Severity Map (field-level, sub-metre resolution) Intervention Recommendation ⬇️ Farmer-Facing Output (field map + decision) --- ## Remote Sensing Indices | Index | What It Detects | Bands Used | |---|---|---| | NDVI | General crop health / biomass | NIR, Red | | NDRE | Nitrogen / chlorophyll deficiency | NIR, Red Edge | | CWSI | Water stress (canopy temperature) | Thermal | | GNDVI | Early stress, chlorophyll content | NIR, Green | --- ## AI Component - **Model:** Lightweight CNN trained on multispectral crop imagery - **Task:** Multi-class stress classification + severity estimation - **Target deployment:** Edge device (NVIDIA Jetson Nano); no cloud dependency - **Training data:** Open datasets (PlantVillage, Sentin …