Bharat in Betastartup field guide
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No. 1315Problem statementAgriculture and food

Hyperlocal Monsoon Onset & Break Prediction System (Block/Village Scale)

Source

Source summary

The source proposes seven-to-thirty-day probabilistic monsoon-onset, break and revival outlooks at block/panchayat scale. It combines ENSO, IOD and MJO signals with regional data using mathematical or machine-learning methods. Risk maps should feed crop-specific advice and regional-language mobile or SMS/WhatsApp messages for farmers and extension workers. It preserves probabilistic guidance rather than asserting exact sowing dates or assured crop outcomes.

No. 1108Problem statementAgriculture and food

Development of AI-ML based models for predicting prices of agri-horticultural commodities such as pulses and vegetable (onion, potato, onion)

Develop AI/ML price forecasts for agricultural and horticultural commodities, including pulses and vegetables, to inform Department of Consumer Affairs market interventions. The source describes daily monitoring through price centres, buffer stocks and existing analysis using seasonality, trends, market intelligence, sowing/production estimates and ARIMA models. It gives this operational context but no detailed model architecture or accuracy requirement.

No. 182Problem statementAgriculture and food

Climate Smart Agriculture

Develop products, technologies and supply-chain processes that support commercial adoption of climate-resilient farming practices, species and production methods. The source discusses heat, weather variability, pests, yield and nutritional losses, while also recognising agriculture's own emissions.

No. 251Problem statementAgriculture and food

Development of SoC for Plant Growth Monitor in Agriculture

Develop a plant-monitoring SoC around VEGA/SHAKTI on an FPGA platform, combining environmental and soil sensors with a machine-learning custom IP core. The proposed multi-node design uses Zigbee communication and supports crop monitoring, irrigation decisions and resource allocation. IoT, sensor integration and AI are explicit parts of this challenge.