RegenCrops App: Revolutionizing Regenerative Agriculture and Carbon Farming with AI & ML, Geospatial and Data Driven Sustainable Solutions
19 Aug 2024
4 min read
The Need for a Smart, Scalable, and Data-Driven Agriculture System

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 and auditing. Manual Internal Control System (ICS) auditing requires significant manpower, is prone to errors, and lacks real-time insights making it laborious.

RegenCrops, a highly customizable, multilingual, and global app, is at the forefront of this transformation. It leverages AI, satellite imagery, hybrid image analysis, and machine learning to provide a fully automated, scalable, and data-driven farm management system that provides sustainable solutions with impact. With a 400,000+ farmer network, RegenCrops replaces manual inspections of regenerative agriculture and carbon auditing with geospatial intelligence, predictive analytics, and AI-driven agronomic recommendations, making agriculture more efficient, transparent, and profitable.

Automating ICS Audits with Geotagged Farm Activity Tracking

Traditional ICS audits require extensive on-field inspections, and large teams, making compliance certification labor-intensive and costly. RegenCrops app eliminates this challenge through geospatial verification and automated farm activity logging:

  • Farmers upload geotagged images, verifying adherence to sustainable practices.
  • AI-based anomaly detection ensures compliance with organic and sustainability certification standards.
  • End-to-end traceability is enabled, ensuring transparency in sustainable agriculture supply chains and enhancing impact.
A display of three smartphones showcasing the AI farming app by RegenCrops, featuring the Crop Doctor for disease detection, the main app interface with the RegenCrops logo, and Stage Details for sowing activities, enhancing sustainable farming practices.
RegenCrops Application

Machine Learning-Based Pest & Disease Surveillance

RegenCrops app has developed an extensive image-based pest and disease detection system trained on 800,000+ labeled images, making it one of the most advanced AI-driven plant pathology tools.

Key Features:

  • Automated Pest & Disease Identification: ML algorithms analyze images from farmers’ fields to detect early infestations.
  • AI-Driven Remedial Recommendations: Provides tailored pest and disease management strategies based on historical data, weather conditions, and crop phenology.
  • Real-Time Alerts & Decision Support: Enables proactive interventions, reducing pesticide overuse and promoting sustainable pest management based on the economic threshold.

This high-throughput image processing system dramatically enhances plant health monitoring and minimizes yield losses due to pest outbreaks.

AI-Powered Satellite Mapping & Hybrid Image Analysis for Precision Agriculture

RegenCrops app integrates satellite remote sensing with hybrid image analysis to deliver real-time field monitoring. By combining high-resolution satellite imagery with AI-driven data interpretation, the platform provides:

  • Soil Moisture and Soil Carbon Assessment: Enables precision irrigation, carbon sequestration monitoring, and enhanced impact on soil health.
  • Crop Health & Phenological Stage Tracking: Ensures optimal nutrient application and stress management.
  • Geospatial Analytics for Large-Scale Farm Monitoring:
    Reduces dependency on manual field inspections.

This AI-powered remote sensing system enables early detection of abiotic and biotic stress factors, reducing yield losses and improving input efficiency while supporting biodiversity conservation and sustainable solutions with measurable impact.

Regenerative Agriculture Advisory: Science-Backed Crop Management

With a dedicated team of agronomists, soil scientists, and AI specialists, RegenCrops delivers regenerative agriculture-based packages of practices (PoPs) for 15 major field crops while continuously expanding. These PoPs are tailored to:
Enhance soil biodiversity and carbon sequestration.

  • Reduce chemical input dependency through bio-based alternatives.
  • Promote cover cropping, intercropping and organic soil amendments.
  • Facilitate biodiversity credits and carbon credits for farmers adopting sustainable practices, increasing impact.

By integrating regenerative agriculture principles, RegenCrops ensures long-term soil fertility, climate resilience and sustainable farm economics while creating opportunities for farmers to benefit from biodiversity and carbon credit markets, further amplifying impact. This technology-driven approach significantly reduces certification costs, enhances credibility, streamlines audit processes, and boosts end-to-end traceability in the agricultural supply chain, ensuring lasting impact on sustainability and profitability.

© 2024 Agwise AI Technology Private Limited. All Rights Reserved.
Corporate Office: T-hub, Hyderabad Knowledge City, Serilingampally, Hyderabad, 500081, India.
info@regencrops.ai
CIN: U62099TS2024PTC182514