Smart India Hackathon
SIH26111

Smart Al-Enabled Rapid Feed and Silage Quality Testing System for Dairy Farmers

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Metadata & Specs

Department

Department of Animal Husbandry & Dairying

Category

Software

Theme

Agriculture, FoodTech & Rural Development

Deadline

20 September 2026

Submitted ideas

0/500

Problem Description & Statement Details

  • Background Animal nutrition directly affects milk production, animal health, reproductive performance, and dairy profitability. Dairy farmers often face challenges due to poor-quality cattle feed,adulterated feed ingredients, fungal contamination, toxin presence, and low-quality silage.Conventional feed testing laboratories are expensive and inaccessible for many rural farmers.There is a need for rapid, portable, affordable, and digitally enabled feed quality assessment systems.Emerging technologies such as Al, loT, spectroscopy, computer vision, and biosensors can help create real-time feed testing and advisory systems for dairy farmers.
  • Description Participants are required to develop a rapid digital testing solution capable of:
  • Assessing nutritional quality of cattle feed and silage;
  • Detecting adulteration and contamination;
  • Providing instant farmer advisories and feed recommendations;
  • Monitoring feed storage and silage conditions.

The solution may include

  • Portable testing devices;
  • Smartphone-enabled feed analysis;
  • Al-powered nutritional prediction;
  • Cloud dashboards;
  • QR-based authenticity systems.

The system may detect

  • Crude protein
  • Moisture
  • Fiber
  • Energy value
  • Mineral deficiencies
  • Urea adulteration
  • Sand/silica contamination
  • Aflatoxins and mycotoxins
  • Fungal contamination Silage monitoring may include:
  • pH
  • Fermentation quality
  • Moisture
  • Spoilage indicators
  • Mould growth
  • Expected Solution The expected solution should:
  • Provide testing results within minutes;
  • Be low-cost and portable;
  • Support multilingual farmer interfaces;
  • Work offline in rural areas;
  • Generate nutritional and storage advisories;
  • Enable cloud-based monitoring and traceability.
  • Expected technologies
  • AI/ML
  • loT sensors
  • NIR spectroscopy
  • Mobile applications
  • Computer vision
  • Cloud analytics
  • Predictive advisory systems
  • Insert Table Here*

Ministry of Fisheries, Animal Husbandry & Dairying · Software · Deadline 20 September 2026

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