AI in Agri

During Farming

  • Precision Agriculture
    • AI + drones + IoT sensors to monitor soil health, crop growth, and moisture.
    • Predictive models for irrigation, fertilization, and pesticide use.
  • Crop & Soil Monitoring
    • AI image recognition to detect plant diseases, nutrient deficiencies, and weed infestations.
    • Mobile apps for farmers to diagnose crop health instantly.
  • Weather & Yield Prediction
    • Machine learning (ML) models forecast rainfall, drought, and crop yields providing help in risk management and insurance planning.

Post-Harvest & Processing

  • Automated Sorting & Grading
    • AI-powered vision systems sorting fruits, vegetables, and grains by size, shape, color, and defects.
  • Supply Chain Optimization
    • AI models predicting demand, reducing waste, and optimizing transport/storage.
  • Food Safety
    • AI sensors detecting contamination, spoilage, or foreign particles.

Smart Farm Management

  • AI-driven VishwaHarvest’s farm management platform.
  • Traceability using technologies like RFID, QR Coding and Blockchain to ensure traceability of food from farm to fork.
  • Robotics: AI-powered weeding robots, drone sprayers, and autonomous tractors.

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