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Hackathon

Agri Innovation Challenge - Solve for Kadapa

Inviting practical, scalable solutions for improving farmer income, water use efficiency, post-harvest systems and market access.

Who Can Participate

Category
Description
Farmers & FPOs
Progressive farmers, FPOs, and farmer groups mobilised through RBKs and line departments.
Students
UG/PG students from agriculture, engineering, technology, and social sciences (ANGRAU, YVU, IITs, Polytechnics, etc.).
Startups & Innovators
AgriTech startups and innovators working on district-relevant solutions.
Researchers & NGOs
Academic institutions, NGOs, incubation centres, and organisations in agriculture and rural development.
Mentors & Experts
Scientists, faculty, agribusiness professionals, and government officials guiding participants.

Note: Participation is free of cost.

Problem Tracks & Detailed Challenge Statements

Track 1: Market Intelligence, Price Forecasting & Crop Planning

Background:
YSR Kadapa district is a major horticulture hub with crops like banana, chilli and sweet orange. However, farmers frequently face price crashes and distress sales due to lack of predictive market intelligence. Cropping decisions are made without forward price signals.

Challenge Statement:
Design solutions that enable predictive market intelligence and crop planning to support better decision-making by farmers and administrators.

Indicative Focus Areas:

  • Price prediction and market trend analysis
  • Integration of mandi, e-NAM and regional data
  • Crop planning tools at mandal/district level
  • Farmer-facing information and alert systems
  • Supply-demand and arrival estimation
Expected Outcomes:
  • Reduction in distress sales
  • Improved crop planning decisions
  • Increased farmer income stability

Track 2: Precision Agriculture, Smart Irrigation & Automation

Background:
Kadapa district has significant adoption of drip irrigation and fertigation systems, particularly in horticulture. However, precision agriculture remains fragmented, expensive, and not uniformly accessible, especially for small and marginal farmers. Real-time advisory systems for irrigation, nutrients, and crop management are limited, and most farmers continue to rely on conventional practices.

There is a need to make precision agriculture affordable, scalable, and farmer-friendly.

Challenge Statement:
Design solutions that improve precision agriculture adoption through affordable, scalable, and real-time farm management systems.

Indicative Focus Areas:

  • Smart irrigation and fertigation management approaches
  • Real-time crop and soil monitoring systems
  • Pest and disease advisory linked to crop stages
  • Automation of farm operations
  • Farmer-friendly decision-support tools
Expected Outcomes:
  • Improved water and input use efficiency
  • Increased productivity with reduced costs
  • Wider adoption of precision farming practices

Track 3: Market Linkages, Value Chain & Agro Processing

Background:
Farmers in Kadapa often face challenges in accessing reliable markets, resulting in low price realisation and dependence on intermediaries. Aggregation through FPOs is still developing, and value addition at farm or local level remains limited. Post-harvest losses, lack of grading, storage, and processing infrastructure further reduce farmer income.

Strengthening market linkages and value chains is critical to transforming agriculture into a market-oriented system.

Challenge Statement:
Design solutions that strengthen market linkages and value chain systems to improve farmer access to markets and enhance value realisation.

Indicative Focus Areas:

  • Farmer-to-buyer and FPO-based market linkage systems
  • Aggregation and logistics optimization approaches
  • Post-harvest handling, grading, and storage solutions
  • Local processing and value addition models
  • Market access and traceability systems
Expected Outcomes:
  • Improved price realisation for farmers
  • Reduction in post-harvest losses
  • Stronger market-oriented agricultural systems

Track 4: Climate Resilient & Sustainable Agriculture Systems

Background:
YSR Kadapa district is characterized by dryland conditions, variable rainfall, and increasing climate risks, affecting crop productivity and farmer incomes. Farmers often lack access to localized weather-based advisories and climate-resilient cropping strategies. Sustainable practices such as natural farming and resource-efficient methods are being promoted but require stronger integration with advisory systems.

There is a need to build climate-resilient and adaptive farming systems suited to local conditions.

Challenge Statement:
Design solutions that enhance climate resilience and sustainability in agriculture through better planning, advisory, and resource management.

Indicative Focus Areas:

  • Weather-based advisory and early warning systems
  • Climate risk assessment and mitigation tools
  • Climate-resilient cropping models
  • Resource-efficient and sustainable farming approaches
  • Integration of renewable energy in agriculture
Expected Outcomes:
  • Reduced climate-related risks for farmers
  • Improved sustainability and resource efficiency
  • Better adaptation to changing agro-climatic conditions

Track 5: Farmer Advisory Systems & Institutional Innovation

Background:
Farmer advisory services in the district are currently delivered through multiple channels including RBKs, departmental systems, and digital platforms. However, these systems are often fragmented, non-integrated, and not continuous, leading to gaps in last-mile delivery. Farmers do not always receive timely, personalized, and actionable advice.

There is a need for a unified and responsive advisory ecosystem that strengthens institutional support.

Challenge Statement:
Design solutions that improve farmer advisory delivery and institutional coordination for timely and effective support.

Indicative Focus Areas:

  • Integrated advisory platforms and service delivery models
  • Farmer query and grievance support systems
  • Data integration across departments
  • Field-level decision-support tools
  • Strengthening last-mile extension mechanisms
Expected Outcomes:
  • Improved access to reliable and timely advisory
  • Better coordination among institutions
  • Enhanced effectiveness of extension services

Track 6: Farmer Adoption & Behavioural Barriers

Background:
Despite the availability of improved technologies, subsidies, and sustainable farming practices, adoption among farmers remains limited and inconsistent. Many farmers prefer familiar practices due to risk perception, lack of local validation, and peer-driven decision-making. As a result, there is a gap between innovation and actual field-level impact.

Addressing behavioural and trust-related barriers is essential for ensuring that agricultural interventions are effectively adopted and sustained.

Challenge Statement:
Design solutions that address behavioural, economic, and trust-related barriers to improve adoption of technologies and best practices among farmers.

Indicative Focus Areas:

  • Building trust through local validation and peer learning
  • Reducing risk in adopting new practices
  • Improving farmer decision-making systems
  • Incentive models for sustained adoption
  • Community-driven adoption mechanisms
Expected Outcomes:
  • Increased adoption of technologies and practices
  • Improved effectiveness of government interventions
  • Stronger last-mile agricultural transformation

Awards & Recognition

Each thematic track will be awarded one winning team. A cash prize will be given for the best practical and implementable solution in each track:

Prize per Track
₹20,000
(1 Winner per Theme)

Participation is free of cost.

Timeline

Key milestones for participants.

Applications OpenMay 1
Applications CloseMay 17
Final PresentationMay 22–24
Apply Now