Democratization of Artificial Intelligence (AI) to Small Scale Farmers: A Framework to Deploy AI Models to Tiny IoT Edges That Operate in Constrained Environments

Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Jaya Vuppalapati, Santosh Kedari, Raja Vuppalapati

2020

Abstract

Big Data surrounds us. Every minute, our smartphone collects huge amount of data from geolocations to next clickable item on the ecommerce site. Data has become one of the most important commodities for the individuals and companies. Nevertheless, this data revolution has not touched every economic sector, especially rural economies, e.g., small farmers have been largely passed over the data revolution, in the developing countries due to infrastructure and compute constrained environments. Not only this is a huge missed opportunity for the big data companies, it is one of the significant obstacle in the path towards sustainable food and a huge inhibitor closing economic disparities. The purpose of the paper is to develop a framework to deploy artificial intelligence models in constrained compute environments that enable remote rural areas and small farmers to join the data revolution and start contribution to the digital economy and empowers the world through the data to create a sustainable food for our collective future.

Paper Citation

in Harvard Style

Vuppalapati C., Ilapakurti A., Kedari S., Vuppalapati J., Kedari S. and Vuppalapati R. (2020). Democratization of Artificial Intelligence (AI) to Small Scale Farmers: A Framework to Deploy AI Models to Tiny IoT Edges That Operate in Constrained Environments. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-397-1, pages 652-657. DOI: 10.5220/0009358706520657

in Bibtex Style

@conference{icpram20,
author={Chandrasekar Vuppalapati and Anitha Ilapakurti and Sharat Kedari and Jaya Vuppalapati and Santosh Kedari and Raja Vuppalapati},
title={Democratization of Artificial Intelligence (AI) to Small Scale Farmers: A Framework to Deploy AI Models to Tiny IoT Edges That Operate in Constrained Environments},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2020},
pages={652-657},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009358706520657},
isbn={978-989-758-397-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Democratization of Artificial Intelligence (AI) to Small Scale Farmers: A Framework to Deploy AI Models to Tiny IoT Edges That Operate in Constrained Environments
SN - 978-989-758-397-1
AU - Vuppalapati C.
AU - Ilapakurti A.
AU - Kedari S.
AU - Vuppalapati J.
AU - Kedari S.
AU - Vuppalapati R.
PY - 2020
SP - 652
EP - 657
DO - 10.5220/0009358706520657