Agricultural Data & Field Intelligence
Prakruty collects and analyses ground-truth agricultural observations from farms across Chhattisgarh. Explore what we collect, how it is scientifically validated, and how research partners can request verified dataset access.
7 Districts
Chhattisgarh Field Hubs
Raipur, Durg, Bastar & more
40+
Foliar Pathologies Indexed
Rice, Tomato, Chili, Soybean
12,800+
Consented Foliar Scans
Ground-truth field images
2.4s
Offline Edge Execution
Zero mobile signal required
94.2%
Recirculated Water Saving
Single confirmed benchmark
What We Collect
Strictly limited to foliar pathology, microclimate telemetry, and regional disease vectors. Zero predatory surveillance.
Included in Regional Dataset
- ✓Foliar Pathology Imagery: Macro photographs of leaf lesions, blights, rusts, and nutrient chlorosis annotated by agronomists.
- ✓District-Level Geo-Clusters: Generalized district-level tagging (e.g. Raipur, Durg, Bastar) to monitor regional epidemic spread.
- ✓Microclimate Telemetry: Water electrical conductivity (EC), pH, dissolved oxygen, ambient air temperature, and relative humidity from our R&D vertical setups.
- ✓Phenological Crop Timestamps: Crop life-cycle stage (vegetative, flowering, fruiting) correlated with seasonal weather shifts.
What We Explicitly NEVER Collect
- ✕Exact GPS Land Coordinates: We never record pin-point plot boundaries or cadastral map numbers.
- ✕Financial & Yield Commercials: No farm revenue, loan status, land ownership records, or transaction histories.
- ✕Facial or Biometric Data: Camera models are hard-coded to ignore human faces and strictly crop leaf tissue.
- ✕Third-Party Commercial Tracking: Zero advertising SDKs, tracking pixels, or data-broker syndication.
How Data is Scientifically Validated
Raw inputs go through our strict three-tier verification pipeline before entering the Chhattisgarh Crop-Health Dataset.
Edge Vision Confidence Gating
Images pass through edge quality checks: blur rejection, natural daylight calibration, and minimum 90% confidence threshold before being flagged for regional inclusion.
Agronomist Review & Sampling
Certified plant pathologists inspect sampled batches. Complex or rare pathogen mutations are manually confirmed using ICAR foliar diagnostic benchmarks.
Cooperative Ground Truth Checks
Field extension staff corroborate reported outbreaks with on-site tissue and soil checks across farm clusters in Durg, Dhamtari, and Rajnandgaon.
Seasonal Disease Incidence Across Chhattisgarh
Monthly incidence spikes correlated with monsoon relative humidity shifts.
Data Access Options
How qualified agricultural bodies and research groups can access vetted data under responsible terms.
Universities & ICAR Bodies
Complimentary access to certified foliar disease datasets and offline model benchmarks for peer-reviewed botanical pathology publications.
- • Anonymized image weights & pathology tags
- • Multi-year seasonal occurrence logs
- • Non-commercial academic license
Grower Cooperatives & FPOs
Localized district dashboard alerting village cooperative leaders to early fungal spore spread in their specific tehsils before widespread loss occurs.
- • Tehsil & block-level pest heat maps
- • Recommended bio-treatment guidelines in Hindi
- • Dedicated agronomist desk support
Ag-Tech Partners & Integrators
Structured REST and local edge SDK integrations for greenhouse manufacturers, drone spraying pilots, and climate-control software providers.
- • Low-latency offline edge inference binaries
- • Closed-loop nutrient telemetry schemas
- • Co-development pilot agreement
Request Dataset Access or Pilot Collaboration
Submit your research goals or operational requirements. Requests are reviewed by our agronomy and data governance desk within 2 business days.