Edge AI Diagnosis
SugarcaneShuffleNet
Optimized lightweight CNN for rapid on-device crop diagnosis.
Agricultural Datasets
PlantVillageVQA
193k+ question-answer pairs for benchmarking AI in plant science.
PlantCareNet Architecture
Our flagship multispectral foundation model natively identifying 38+ crop conditions.
Read MoreService Matrix
Core capabilities designed for autonomous deployment. Modular, scalable, and engineered for precision yields.
Aerial Operations
High-capacity drone seeding and precision spraying. Automated flight paths calculated mapped topography.
Mobile Scanning
On-device ML models for real-time crop disease detection and yield estimation. Point, Scan, Analyze.
Spectral Imagery
Multispectral camera arrays mapping NDVI and identifying plant stress before it's visible.
Hydrological Engineering
Irrigation facility measurement and 3D terrain modeling to optimize water distribution across massive acreages.
The AgroSid Engine
The technological foundation powering our precision agriculture services. Explore how our systems capture, analyze, and act on critical crop data.
Operational Workflow
From spectral imaging to autonomous intervention — the full AgroSid pipeline.