M-Velanmai Application: Leveraging AI Based Extension Advisory System for Rice Farmers
Karthikeyan Chandrasekaran, Shri S. R., Pazhanivelan S., Aravindh Kumar S
2024
Abstract
“M-Velanmai” app. is an interactive, demand driven and personalized android mobile based extension advisory system for accessing, appropriate and timely technological information / decision support in agriculture by the farmers of Tamil Nadu. The app is designed to work on android mobile phones. “M-Velanmai” uses the techniques of artificial intelligence and machine learning to provide two types of support services viz., decision support and information support for the benefit of farmers. The farmer will be given provision to record their response regarding the level of satisfaction upon adoption of advisories as a feedback for the extension service availed. The “M-Velanmai” app. developed for rice can be extended for other major crops of Tamil Nadu in near future.
DownloadPaper Citation
in Harvard Style
Chandrasekaran K., R. S., S. P. and Kumar S A. (2024). M-Velanmai Application: Leveraging AI Based Extension Advisory System for Rice Farmers. In Proceedings of the 1st International Conference on Emerging Innovations for Sustainable Agriculture - Volume 1: ICEISA; ISBN 978-989-758-714-6, SciTePress, pages 116-120. DOI: 10.5220/0012882900004519
in Bibtex Style
@conference{iceisa24,
author={Karthikeyan Chandrasekaran and Shri R. and Pazhanivelan S. and Aravindh Kumar S},
title={M-Velanmai Application: Leveraging AI Based Extension Advisory System for Rice Farmers},
booktitle={Proceedings of the 1st International Conference on Emerging Innovations for Sustainable Agriculture - Volume 1: ICEISA},
year={2024},
pages={116-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012882900004519},
isbn={978-989-758-714-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Emerging Innovations for Sustainable Agriculture - Volume 1: ICEISA
TI - M-Velanmai Application: Leveraging AI Based Extension Advisory System for Rice Farmers
SN - 978-989-758-714-6
AU - Chandrasekaran K.
AU - R. S.
AU - S. P.
AU - Kumar S A.
PY - 2024
SP - 116
EP - 120
DO - 10.5220/0012882900004519
PB - SciTePress