The Operating System for
Modern Agriculture.
Transform raw environmental data into predictive, field-level agronomic intelligence. Built for FPOs and enterprise agribusinesses to maximize yield and optimize resources at absolute scale.
10cm²
Resolution
>96%
Yield Accuracy
14 Days
Early Warning
Bridging the Global
Implementation Gap
Precision agriculture isn't a concept—it's a deployed reality. We surveyed the most advanced enterprise farm systems across Europe and America and engineered COCO to deliver the same ruthless intelligence for Indian agronomy.
Global Precedents
Platforms like FarmWise and Climate Corp have proven AI scales crop yields in the US/EU. COCO brings that computing power to India's unique micro-climates.
The Indian Gap
Most systems train on generic data. COCO's models are explicitly fine-tuned on hyper-local Indian datasets, covering wheat, paddy, cotton, and mustard.
Real-World Economics
Targeting FPOs and Agri-businesses instead of small rural subscriptions. We solve for enterprise-grade ROI and macro-yield stability.
Future-Proof Edge
A pure software-play initially—scaling instantly via satellite and mobile inferences without requiring heavy upfront IoT hardware investments.
Uncompromised
Architecture.
Scroll to unpack the stack.
Neural Processing
Edge AI compute nodes execute localized models.
Data Lake
Peta-scale ingestion of historic and live IoT telemetry.
ML Abstraction
PyTorch ensemble models dynamically adjusting to constraints.
Zero-Trust Security
Military-grade encryption securing all farm-level IP.
Algorithmically Guaranteed
Harvest Outcomes.
Eliminate guesswork. Our proprietary machine learning layers forecast yield density and climatic risks with unparalleled enterprise accuracy.
Yield Accuracy
Consistently outperforming traditional agronomist manual sampling methods through deep satellite integration.
Growth Multiplier
Data Points Analyzed
Daily ingestion of multi-spectral, thermal, and SAR radar data points per individual farming cluster globally.
Precision Agronomy,
Not Just Dashboards.
COCO goes beyond simple weather tracking. We provide actionable, field-level agronomic intelligence designed for Agronomists and FPO leadership to make high-stakes operational decisions.
Pre-symptomatic Stress Detection
COCO's vision models analyze multi-spectral satellite imagery to detect chlorophyll degradation and water stress up to 14 days before visible symptoms appear on the crop canopy, allowing proactive intervention.
Variable Rate Nitrogen Mapping
Stop carpet-bombing fertilizer. We generate hyper-local Nitrogen application maps per acre based on historic yield zones and current vegetative indices, reducing fertilizer costs by 20% while protecting soil health.
Micro-Climate Irrigation Scheduling
Integrating IMD telemetry with local soil-moisture models, COCO predicts the exact evapotranspiration (ETc) drop per field. It alerts FPOs exactly when and how much to irrigate, saving critical water resources.
Autonomous Fleet Orchestration
For mechanized FPOs, COCO optimizes tractor routing and harvester deployment based on maturity indices across thousands of acres, minimizing idle fuel burn and maximizing daily harvest coverage.
Orbit to Field in
Under 100 Milliseconds.
A transparent look at how raw planetary data is transformed into immediate agricultural intelligence. Built for absolute zero-latency.
Data Acquisition
Multispectral imagery from ESA Sentinel-2 is ingested every 3-5 days. Simultaneously, local IoT weather stations transmit micro-climate ground truth telemetry via LoRaWAN.
Edge Pre-Processing
Raw data is cleaned immediately. Cloud cover interference is algorithmically removed using near-infrared (NIR) data, ensuring pristine inputs for the ML layers.
Inference & Normalization
Our proprietary PyTorch models compute NDVI, NDRE, and MSAVI indices. Yield forecast engines run localized XGBoost models mapped against our 10-year historical PostgreSQL lake.
Actionable Intelligence
FPO managers and Agronomists receive immediate, hyper-localized alerts on their dashboard. From heat-wave warnings to specific pest-probability heatmaps per acre.
Core Technical Modules
5 Pillars of COCO
Crop Intelligence
Crop Health Studio
Edge AI Diagnosis
Yield Multiplier
Market Intelligence
Actionable Alerts
Module 01
Satellite NDVI Viewer
Ingesting ESA Sentinel-2 feeds, COCO computes field-level Normalized Difference Vegetation Index (NDVI). Detect crop stress before it's visible to the naked eye with automated multi-resolution change detection.
Module 02
Mobile Image Diagnosis
A localized computer vision pipeline. Agronomists photograph affected leaves; COCO instantly references proprietary models fine-tuned on indigenous pest and malady strains—bypassing generic US/EU parameters.
Module 03
Smart Crop Engine
An intelligent recommendation matrix referencing district-level soil data, climate bands, and historical yield constraints to advise exact sowing windows and optimal crop selections.
Module 04
Mandi Price Forecast
We don't just report current prices. Using ensemble ML forecasting natively integrated with Agmarknet datasets, COCO predicts 15-30 day price movements to optimize harvest and logistics timelines.
Module 05
Weather Risk Matrix
Connecting local IMD data to crop-specific vulnerability thresholds. COCO doesn't just say 'it will rain'; it instructs 'delay fertilizer application for 24 hours'.
Crop Health Studio
Module 01
Satellite NDVI Viewer
Ingesting ESA Sentinel-2 feeds, COCO computes field-level Normalized Difference Vegetation Index (NDVI). Detect crop stress before it's visible to the naked eye with automated multi-resolution change detection.
Edge AI Diagnosis
Module 02
Mobile Image Diagnosis
A localized computer vision pipeline. Agronomists photograph affected leaves; COCO instantly references proprietary models fine-tuned on indigenous pest and malady strains—bypassing generic US/EU parameters.
Yield Multiplier
Module 03
Smart Crop Engine
An intelligent recommendation matrix referencing district-level soil data, climate bands, and historical yield constraints to advise exact sowing windows and optimal crop selections.
Market Intelligence
Module 04
Mandi Price Forecast
We don't just report current prices. Using ensemble ML forecasting natively integrated with Agmarknet datasets, COCO predicts 15-30 day price movements to optimize harvest and logistics timelines.
Actionable Alerts
Module 05
Weather Risk Matrix
Connecting local IMD data to crop-specific vulnerability thresholds. COCO doesn't just say 'it will rain'; it instructs 'delay fertilizer application for 24 hours'.
Built for FPO
and Government Scale
COCO isn't a lightweight farmer app. It's a high-throughput, multi-tenant Intelligence API and Dashboard built on Kubernetes, PostgreSQL, and FastAPI.
Modular Inputs
ESA Sentinel-2 satellite ingestion pipelines paired with IMD weather APIs and Agmarknet mandi feeds.
AI / ML Engines
Custom PyTorch vision models for disease detection, combined with XGBoost and Prophet for exact yield and price trajectories.
Data Moat
Massive historic yield datasets mapping back years per district, enabling deep agronomy validation beyond simple dashboard visuals.
Ready to Upgrade
Indian Agriculture?
Schedule a technical demonstration of COCO Farm AI. View live multi-tenant dashboards, validation data, and API documentation.
Available for FPOs, Agribusinesses & Government Deployment