Bharat in Betastartup field guide
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No. 1425Problem statementAgriculture and food

Low-Cost loT Block chain Nodes for Farm-to-Fork Traceability

Source

Source summary

Develop an affordable, rugged, low-power farm-to-fork sensor node for SMEs logging temperature, humidity and ethylene during transit. Retain cryptographically protected local records through cellular outages and automatically sync encrypted data to a decentralised ledger when connected, using lightweight protocols such as MQTT. Include plug-and-play use and solar/thermal harvesting for extended battery life. Resistance to moisture, dust and vibration is required; indefinite life and manipulation prevention are design aspirations needing demonstration.

No. 1035Problem statementAgriculture and food

Smart Irrigation System for Precision Farming

Develop an IoT irrigation module combining soil-moisture sensors and weather information with a farmer-facing mobile app. Provide timely irrigation alerts and recommendations from real-time observations to support scheduling. Reduced water use and improved yield are intended benefits requiring field evaluation.

No. 1041Problem statementAgriculture and food

Rapid colorimetric and artificial intelligence-based methods for determining the microbial quality of raw milk, processed milk, and milk products

Develop a rapid, portable, cost-effective way to assess microbial quality of raw and pasteurised milk faster than the source's stated 4–6-hour MBRT process. For processed dairy products, freshness-indicating packaging is also proposed. Colour-based testing, AI or machine vision are avenues to explore rather than validated methods; the core requirement is practical quality assessment at reception, processing and chilling points.

No. 1075Problem statementAgriculture and food

Drone-Based Intelligent System for Apple Orchard Management in Himachal Pradesh

Develop drone-based apple-orchard management for Himachal Pradesh. Combine multispectral/thermal observations and AI analysis for tree health, moisture and stress, with targeted nutrient/pest/disease treatment and prediction using historical/environmental data. Estimate production from blossom/fruit imagery and pre-harvest surveys to support storage, logistics and marketing. Include farmer training, drone-footage virtual tours and promotional content; the source also proposes blockchain traceability covering origin, quality and the apples’ journey.