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Technology August 19, 2024 4 min read

RegenCrops App: Revolutionising Regenerative Agriculture and Carbon Farming with AI & ML, Geospatial and Data-Driven Sustainable Solutions

As agriculture transitions into the digital era, there is an urgent need for smart, automated, and scalable solutions to address challenges in farm monitoring, crop health management, and supply chain traceability.

RegenCrops app dashboard on mobile devices

Farmer Network

400,000+ Farmers

Training Dataset

800K+ Labelled Images

Crop Protocols

15 Major Crops

The Need for Smart Agriculture

RegenCrops operates one of India's largest regenerative farmer networks — over 400,000 farmers. At this scale, the traditional approach of agronomist site visits, paper records, and annual audits is simply not viable. Our platform replaces manual processes with geospatial intelligence, predictive analytics, and AI-driven recommendations that work continuously, at scale.

The platform is customisable, multilingual, and globally accessible — designed from the ground up for smallholder farmers in emerging markets who need guidance that is precise, timely, and easy to act on.

Automating ICS Audits with Geotagged Farm Activity Tracking

Internal Control System (ICS) audits are the backbone of organic and regenerative certification — but they are expensive, time-consuming, and difficult to scale. RegenCrops automates the entire audit workflow:

  • Farmers upload geotagged images directly verifying sustainable practice adherence — from compost application to cover crop establishment
  • AI-based anomaly detection ensures organic and sustainability certification compliance in real time
  • End-to-end traceability enables transparent supply chains from farm to buyer
  • Digital audit trails satisfy third-party certification bodies without costly on-site inspections

Machine Learning-Based Pest & Disease Surveillance

Our image-based detection system is trained on over 800,000 labelled crop images across the major crops in our portfolio. A farmer photographs a symptomatic plant on their phone — the model identifies the issue, quantifies severity, and recommends a targeted intervention.

  • Automated pest and disease identification via ML algorithms with continually improving accuracy
  • AI-driven remedial recommendations tailored to the farm's specific conditions and input history
  • Real-time alerts enabling proactive interventions and substantially reducing unnecessary pesticide applications

AI-Powered Satellite Mapping & Hybrid Image Analysis

At the landscape scale, the platform fuses satellite multispectral imagery with ground-level sensor and farmer-submitted data to deliver field-level intelligence:

  • Soil moisture and soil carbon assessment at sub-field resolution
  • Crop health and phenological stage tracking to optimise input timing
  • Geospatial analytics for large-scale farm monitoring and aggregate carbon reporting
  • Early stress detection — water, nutrient, pest — before symptoms become yield-limiting

Regenerative Agriculture Advisory & Carbon Credits

RegenCrops provides science-backed crop management packages for 15 major field crops, supporting the full transition from conventional to regenerative systems. Protocols cover soil biodiversity and carbon sequestration, reduced chemical input dependency through bio-based alternatives, cover cropping, intercropping, and organic soil amendments.

Farmers who meet the standard are eligible for carbon credits — an emerging income stream that rewards the climate services good farming creates, and that is only accessible with the verified data trail our platform provides.

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