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PS 26111SOFTWAREAgriculture, FoodTech & Rural DevelopmentHidden GemHeavy R&D

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

Ministry of Fisheries, Animal Husbandry & DairyingDepartment of Animal Husbandry & Dairying
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30-Second Plain English Summary

Indian dairy cattle suffer from low milk productivity and nutritional deficiencies due to adulterated cattle feed and poor-quality fermented silage (high moisture, mold, low crude protein), while laboratory chemical feed testing takes 7-10 days. Build a Smart AI-Enabled Portable Feed and Silage Quality Testing System for DAHD that uses handheld Near-Infrared (NIR) spectroscopy and computer vision to measure Crude Protein (CP), Neutral Detergent Fiber (NDF), moisture content, and aflatoxin contamination in 60 seconds.

5-Dimension Strategic ScorecardOverall Score: 4.3 / 5.0
Innovation
4.7 / 5
36h Feasibility
4.4 / 5
Uniqueness
4.2 / 5
Jury Appeal
4.3 / 5
Tech Depth
4 / 5
Recommended System Architecture Pipeline
Handheld NIR Optical Scanner (900-1700nm) -> BLE Ingestion -> 1D-CNN Chemometric Calibration Model -> Total Mixed Ration Optimizer -> Dairy Nutritionist PWA
Recommended Tech StackClick to search similar
Official Government Problem Description
• 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*
AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26111: "Smart Al-Enabled Rapid Feed and Silage Quality Testing System for Dairy Farmers", Ministry: Ministry of Fisheries, Animal Husbandry & Dairying. Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26111)

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