myHarvest Farms

Problem Statements

• Difficulty in communicating "How can I Organic?"
• Inconsistent supply from farmers - dependent on weather, season and harvest quality
• Unorganized farm-to-home logistics, route optimization, safe packing without losing freshness
• High last-mile delivery costs in home delivery for online/D2C business
• Reducing food waste overall and handling returns/replacements of perishables
• Retaining freshness of green leafy vegetables & spinach for minimum 24 hours
• How to know if fruits like muskmelon, watermelon and oranges are ripe?
• Retaining freshness of bananas and delivering in semi-ripe condition without wastage
• How to increase purchase frequency from once a month to three times a month?
• How to control pests in organic farms without increasing expenses?

BG Crops

Problem Statement

• “Manufacturing Know-How of Micronutrient Mixture Grade 11 (Granular Form)”

KuppiSmart Solutions

Problem Statements

1. Poultry (Computer Vision & AI)

Edge-Optimized AI for Dead Bird Fraud and Health Monitoring: Develop an image similarity and anomaly detection system (using techniques like image embeddings or metric learning) to prevent fraudulent claims by detecting re-used images of dead birds. The solution must be optimized for real-time inference on low-power, edge-based hardware.

2. Poultry (Bioacoustics & ML)

Low-Latency Bioacoustic Disease Prediction System: Design a machine learning pipeline that processes poultry vocalizations to classify and provide early warnings for common respiratory diseases (e.g., distress signals). The system must be robust to background noise and capable of sending a notification to the farmer within a 15-minute analysis window.

3. Aqua (IoT & Predictive Analytics)

Proactive Water Quality Crisis Prediction and Automation: Develop a time-series predictive model that analyzes continuous sensor data (DO, pH, Temp, BOD, COD, TSS) to forecast critical water quality degradation events (e.g., anoxic conditions or ammonia spikes) 6-12 hours in advance, and recommend automated corrective actions (like adjusting the dosing unit).

4. Data Accessibility & UX/UI

Farmer-Centric AI Advisory Application: Design and prototype an intuitive, multilingual mobile application interface (UX/UI) that translates complex sensor readings and AI-generated alerts (e.g., "Ammonia high" or "Disease detected") into simple, actionable farming advice and Standard Operating Procedures (SOPs) for non-technical users.

5. IoT Connectivity & Sustainability

Robust Data Synchronization Protocol for Rural IoT Fleets: Develop a reliable data management protocol that ensures data integrity and minimizes operational costs for a large fleet of 100+ IoT devices operating in low-bandwidth or intermittent internet connectivity rural environments (e.g., optimizing MQTT payload sizes, local data storage, and efficient cloud synchronization strategies).

TVS SST

Problem Statement

• Inadequate Calf Management and the absence of systematic feed management practices among livestock farmers in our working Village.

SPIC

Problem Statements

• 1. Balanced Fertilizers Application
• 2. Can Organic Fertilisers replace the Chemical Fertilizers in the Present Scenario?
• 3. How to improve acceptance of Organic Fertilizers?
• 4. How to improve the marketing of New Agro input products?