THE VIDHI WAY
We, at Vidhi, strive to work closely with the farmers to solve their problems with the help of technology. For a sustainable farming model, Vidhi (Sanskrit: meaning manner, method or program) adopts a systematic approach and the principle of ‘Consult, Gather, Analyse, Suggest, Re-assess and Re-correct’ to formulate software solutions that are easily operable and invaluable to the common farmer for crop management.
GI Tagged Horticulture crop from North East
NORTHEAST region is endowed with enormous plant soil-climate diversity and out of 800 species of wild edible crops in India about 300 are in Northeast India. The region can boast of as many 16 GI (Geographical indicators) tags in horticultural crops viz., Naga Mircha, Naga Tree Tomato, Arunachal Orange, Sikkim Large Cardamom, Mizo Chilli, Assam Karbi Anglong Ginger, Tripura Queen Pineapple, Tezpur Litchi, Khasi Mandarin, Kachai Lemon, Tamenlong Orange, Memong Narang, Kaji Nemu, Hathei Chilli, Naga Cucumber and Mizo Ginger
(Source: Indian Horticulture, November-December 2023)
Kaji Nemu from Assam
Tezpur Litchi from Assam
Karbi Anglong Ginger from Assam
Arunachal Orange
Hathei Chilli
Kachai Lemon
Khasi Mandarin
Memong Narang
Mizo Chilli
Mizo Ginger
Naga Cucumber
Naga Mircha
Naga Tree Tomato
Sikkim Large Cardamom
Tamenlong Orange
Tripura Queen Pineapple
Products and Projects
The Crop Yield Optimization mobile app designed and developed on cutting edge technologies to empower farmers with data-driven insights and advanced analytics to maximize the productivity of their agricultural endeavors. This app leverages technology to assist farmers in making informed decisions throughout the entire crop cultivation process, from planning and planting to harvesting.
The Crop Yield Optimization mobile app empowers farmers with the tools they need to make informed decisions, increase efficiency, and maximize crop yields sustainably. By integrating technology into traditional farming practices, this app contributes to the advancement and the overall resilience and sustainability of modern farming operations.
The application is going to provide the farmers real-time input for effective management of their crops. The application shall be using machine learning technology to process the image fed by the farmers and suggest necessary care for that crop and information about the crop health and thereby increase the yields.
Major outcomes are:
- More agriculture production
- Disease profiling
- Disease management planning
- Farmers profiling
- Cropping pattern analysis
- Suggesting the farmers on market demand based agriculture production
7th International Agri-Horti Show 2022
Hon'ble Minister (Agriculture), Government of Assam and other VVIPs understanding the integrities of the Krishisarathi mobile app
7th International Agri-Horti Show 2022
Hon'ble Minister (Agriculture), Government of Assam and other VVIPs understanding the integrities of the Krishisarathi mobile app
7th International Agri-Horti Show 2022
Hon'ble Minister (Agriculture), Government of Assam and other VVIPs understanding the integrities of the Krishisarathi mobile app
7th International Agri-Horti Show 2022
Director of Agriculture, Government of Assam and other other dignitaries understanding the integrities of the Krishisarathi mobile app
7th International Agri-Horti Show 2022
Government officials playing the AI based game at the show
7th International Agri-Horti Show 2022
General inquisitive audience visiting the stall and trying to understand the mobile app
Field Trial of Krishisarathi Mobile App
Transplantation stage field trial of the the mobile app on 7th August 2023
Field Trial of Krishisarathi Mobile App
Transplantation stage field trial of the the mobile app on 7th August 2023
Field Trial of Krishisarathi Mobile App
Mature stage field trial of the the mobile app on 15th November 2023
Field Trial of Krishisarathi Mobile App
Mature stage field trial of the the mobile app on 15th November 2023
Field Trial of Krishisarathi Mobile App
Mature stage field trial of the the mobile app on 15th November 2023
Field Trial of Krishisarathi Mobile App
Mature stage field trial of the the mobile app on 15th November 2023
Why Us?
DIPP Recognized Startup
We are recognized by DIPP (DIPP80169) as a startup working in AI and Machine Learning Sector
Incubated by BioNest (IIT-Guwahati and IASST)
We have the privilege of being incubated by IIT-Guwahati and IASST under BioNest
Enduring Commitment
The commitment to fulfil the client requirement with utmost sincerity and dedication make us different from the rest
Our Address
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