NIMBUS
Intelligence, Elevated
AI-driven geospatial intelligence for precision agriculture satellite and drone imagery analysis for field-level infestation detection, susceptibility mapping and zone-based prescriptions.
The Precision Agriculture Gap
India’s sugarcane sector — the world’s second largest — loses billions annually to pest infestations, inefficient chemical usage, and lack of actionable field intelligence. Current approaches rely on manual scouting, blanket spraying, and delayed response cycles. Nimbus transforms this with AI-driven, zone-level precision.
100+
Sample Plots
IISR
Research Partner
OBIA
Feature Extraction
Zone-Based
Precision Prescriptions
The Nimbus Platform Ecosystem
Four integrated components forming an end-to-end precision agriculture intelligence pipeline.
Nimbus Intelligence Platform
The analytical core. Satellite and drone imagery analysis for infestation detection and susceptibility mapping. OBIA-based feature extraction captures leaf morphology, canopy structure, and plant geometry for field-level diagnostics.
jGCS (Jarbits Ground Control Station)
Automates drone mission planning. Each zone receives specific SOPs with precisely adjusted flow rates and chemical dosages. Plans missions end-to-end with minimal operator intervention.
CanePilot Application
Technology-driven platform connecting trained drone operators with sugar mills, cane officers, and RPTOs. Facilitates crop surveys, spraying missions, and performance analytics.
Model RPTOs (Training Centers)
Specialized training centers for UAV operators in sugarcane crop production. Comprehensive curriculum covering crop surveying, health monitoring, and precision spraying.
What Nimbus Can Do
Aarohan follows a systematic three-phase development and deployment strategy.
Infestation Detection
AI-powered identification of pest and disease infestations at field level using multi-spectral drone and satellite imagery.
Current Phase — TRL 3-4 Validation
Susceptibility Mapping
Predictive mapping of biotic and abiotic stress zones, enabling proactive rather than reactive management.
Next Phase
Zone-Based Prescriptions
Translates intelligence into precise, zone-specific treatment plans with calibrated chemical dosages and application methods.
Target Phase
Crop Health Monitoring
Continuous monitoring of vegetation indices, canopy health, and growth patterns throughout the crop cycle.
Current Phase — TRL 3-4 Validation
Variety Identification
AI-based sugarcane variety classification from aerial imagery for improved field management and breeding programs.
Next Phase
Yield Prediction
Machine learning models for early-season yield estimation based on crop health, weather, and historical patterns.
Target Phase
Built With India's Agriculture Leaders
IISR (Indian Institute of Sugarcane Research)
Joint collaboration for developing training content, precision agriculture courses, and research-backed UAV methodologies. MOU signed for establishing prototype RPTO and specialized training programs at India's premier sugarcane research institution.
Dalmia Group
Supporting with 100 one-acre sample plots in the Sultanpur and Sitapur belt for full-season drone surveys and ground-truthing. Real-world validation across diverse field conditions and sugarcane varieties.