We deliver institutional-grade agricultural AI modules that ingest multi-spectral imagery and IoT logs to maximize crop yield, control operational risks, and optimize water and soil inputs.
Continuous multispectral remote sensing engine built to monitor growth performance, crop health, and stress anomalies down to the plant level.
The operational hub for modern farm management. Combines physical parameters, equipment tracking, and analytics models in one screen.
Large Language Model explicitly trained on agricultural guides, disease indexes, and research literature. Serves as your on-field agronomist advisor.
User: My potato leaves have circular dark spots with concentric rings. What is this?
AgriGPT: This diagnosis suggests Early Blight (Alternaria solani).
Recommended steps:
1. Prune lower infected foliage to suppress spore bounce-up.
2. Avoid overhead sprinklers; shift irrigation to drip lines.
3. If threshold is exceeded, apply copper-based organic fungicides.
Auto-generate autonomous drone flight lines, process orthomosaic models, and segment field anomalies using edge-computer vision.
Convert historic yields, fertilizer logs, and geospatial weather maps into highly detailed resource prescription guidelines.
Hyper-local weather engines driven by specialized atmospheric models. Delivers field-specific frost warnings and harvest window estimations.
Simulate critical agricultural conditions to see how the IPS CeresAI engine automatically interprets telemetry signals and generates variable warnings.