വിഷയങ്ങൾ
ശ്രദ്ധിക്കൂ ! Selected Teams should confirm their participation by 20.02.2023, 1 PM. Read Instructions >
സ്റ്റാർട്ട്അപ് വിഭാഗം
| 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 |
കോളേജ് വിഭാഗം
| 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 |
ഓപ്പൺ വിഭാഗം
| 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 |