The New Advanced Society

9AI-Based Smart Agriculture Monitoring Using Ground-Based and Remotely Sensed Images

Shounak Chakraborty¹, Nikumani Choudhury²* and Indrajit Kalita³

¹Department of Computer Science & Engineering, Indian Institute of Information Technology, Design and Manufacturing, Kurnool, India

²Department of Computer Science & Information Systems, Birla Institute of Technology and Science, Pilani, Hyderabad Campus, India

³Indian Institute of Information Technology Guwahati, Bongora, Guwahati, India

Abstract

Smart agriculture monitoring aims to provide the agricultural industry an advanced technological infrastructure that may include internet of things (IoT), cloud computing, and artificial intelligence (AI) in processing the data obtained from multiple sensors deployed in-ground devices, (un)manned aerial vehicles (UAVs) and satellites. The research in AI has gone through a flourishing phase in the last few decades where standalone systems have achieved near-perfect accuracies in fields like language processing, text recognition, image interpretation, and voice identification, to name a few. In other words, the researchers have been immensely successful in developing supervised classification models with minimal human involvement. Recently, the focus has shifted to designing robust and adaptive AI classification models that can operate under a severe scarcity of training data, noisy environments, or in a situation when the probability distribution of the test samples is disparate from the ...