Democratization of AI, albeit constrained IoT devices & Tiny ML, for creating a sustainable food future
2020 3rd International Conference on Information and Computer Technologies (ICICT)
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 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.
Artificial inteligence, Cow necklace, Dairy cloud, Edge, Hanumayamma, Hardware constrained devices, IoT device, Kalman filter, Small scale farmers, Tiny ML
Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Jaya Vuppalapati, Santosh Kedari, and Raja Vuppalapati. "Democratization of AI, albeit constrained IoT devices & Tiny ML, for creating a sustainable food future" 2020 3rd International Conference on Information and Computer Technologies (ICICT) (2020): 525-530. https://doi.org/10.1109/ICICT50521.2020.00089