Optimizing Soil Health for Sustainable Agriculture

Optimizing Soil Health for Sustainable Agriculture

The Digital Soil Information System is a centralized digital platform that streamlines soil health assessment through advanced data collection, analysis, and recommendations. By integrating AI, ML, and GIS, it empowers farmers, agronomists, and policymakers to make data-driven decisions for enhanced productivity and sustainable soil management.

Key Features

Survey Form Design & Surveyor Tagging

Facilitates dynamic survey form creation with predefined parameters while tagging surveyors and designated soil sampling locations.

Data Collection & Sample Tagging

Real-time survey data collection via mobile app, with GPS-based location tracking and unique identity codes assigned to soil samples for traceability.

Soil Archival Management

Digitally archives soil samples, allowing seamless tracking, retrieval, and retesting for historical analysis.

Lab Testing & Analysis

Utilizes laboratory techniques to assess soil type, pH levels, texture, structure, and nutrient composition for comprehensive soil health evaluation.

Report Analysis & Simplification

Leverages AI, ML algorithms, and GIS mapping to create region-specific soil health reports and data-driven insights.

Smart Recommendations

Delivers customized soil fertility and fertilization guidance via an intuitive web and mobile interface for farmers, agronomists, and agricultural experts.

Business Impact

  • Optimized Crop Yields
    Enables precise soil nutrient management to improve agricultural output.
  • Resource Efficiency
    Reduces excess fertilizer use by providing targeted recommendations.
  • Sustainable Agriculture
    Promotes soil conservation and enhances long-term productivity.
  • Data-Driven Decision Making
    Supports stakeholders with real-time soil intelligence.
  • Scalable & Accessible
    Available on web and mobile for seamless user access.

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