Problem Statements

Startup Category

Problem ID Problem Statement Expected Outcome Probable / Suggested Technology
VAH_A_01
Weather based pest and disease surveillance and warning system in protected cultivation.
Early detection , alert to farmers on specific triggers. Systematic, timely and optimum use of PPC.
Sensors, AI, IoT
VAH_A_02
Innovative solutions to manage Human-Wildlife conflict.
Animal identification and tracking. Protecting the fields from animal attack by using appropriate mechanisms including acoustics.
AI, Acoustics, IR, Sensors, IoT
VAH_A_03
On-site estimation of soil pH, EC and nutrient status using sensors and provide a web/ Mobile interface to monitor parameters and suggest suitable nutrient advisories based on POP.
Better soil management and balanced nutrient applications.
Sensors, AI, IoT
VAH_A_04
Automatic fertigation scheduler using sensors for pH, EC and nutrient status and provide a Web/ Mobile interface to monitor parameters with auto log in a protected environment.
IoT based fertigation scheduler
Sensors, AI, IoT
VAH_A_05
Yield estimation in paddy
Computing vegetation indices for estimation of harvesting time and yield
Multi spectral cameras, ML and AI

College Category

Problem ID Problem Statement Expected Outcome Probable / Suggested Technology
VAH_B_01
Detection of symptom of Brown Plant Hopper (BPH) in Rice
Detection and estimation of symptoms and severity of pest attack from aerial photographs/videos taken from Drones/ Remote sensing systems to provide early warning to farmers
Remote Sensing (RS)/Drones/ML/AI
VAH_B_02
Chatbot/Virtual Assistant (VI) to address farmer queries in a call centre.
Development of an IVRS system that will provide information to farmers based on queries and back end databases on scientific cultivation practices.
GSM, AI
VAH_B_03
Farmer Assistant- A mobile application to record all farming events, quantities and cost of farming.
Development of mobile app that is able to assist the farmers in farming operations by providing timely advisories and alerts based on the selection of crop and other inputs received from the farmer from time to time and guide him through the entire field operations using AI.
AI and Other suitable teachnologies
VAH_B_04
Market Intelligence for agricutural commodities.
The system provides trend analysis, short term as well as long term commodity price prediction and market selection as insights for farmers.
Forecasting and deep learning techniques
VAH_B_05
Prediction of suitability of Land for different crops based on past data for a particular area
Development of mobile app for the identification of suitable crops in a geographical location based on past data on weather parameters, soil fertility status, success rate etc.
GPS, GIS, AI

Open Category

Problem ID Problem Statement Expected Outcome Probable / Suggested Technology
VAH_C_01
Technological solutions for grading and sorting of fruits/vegetables
Easy and intelligent grading of perishables to facilitate better market and price for products
Any suitable technology
VAH_C_02
Mechanical solution for harvesting coconut
Innovative harvesting solution which ensure quality of harvested product
Any suitable technology
VAH_C_03
Mechanical solution for harvesting jackfruit
Innovative harvesting solution which ensure quality of harvested product
Any suitable technology
VAH_C_04
Innovative and eco-friendly packaging solutions for fruits- Banana/ Mango/ Pineapple.
Appropriate packaging solutions to keep the product afresh and without physical damage.
Any suitable packaging technology
VAH_C_05
Any technology that reduces the physical strain involved in Agricultural operations
Appropriate technology, Machines or devices.
Should be a novel design
English