Role of AI in agriculture: Applications, limitations and challenges: A review Mohan S. Sai1,*, Venkat Regatti1, Rahaman S.1, Vinayak M.1, Babu B. Hari1 1Department of Farm Machinery and Power Engineering, Dr. NTR College of Agricultural Engineering, Acharya N.G. Ranga Agricultural University, Bapatla-522 101, Andhra Pradesh, India *Corresponding Author: S. Sai Mohan, Department of Farm Machinery and Power Engineering, Dr. NTR College of Agricultural Engineering, Acharya N.G. Ranga Agricultural University, Bapatla-522 101, Andhra Pradesh, India, Email: samalasaimohan@gmail.com
Online published on 10 July, 2023. Abstract Increase in the world's population as well as decrease in the availability of agricultural labour are demanding a smarter way to fulfill the global supply chain. Defining human intelligence in such a way that a machine can easily mimic it and can execute tasks which are simplest and those that are even more complex is known as artificial intelligence (AI). Recent advances in electronics offer vast opportunities for research, development and innovation in agriculture. India is facing scarcity in labour due to people moving into urban areas as daily wage workers and also due to agriculture being unproductive now a days. As a result there is always a scope to introduce new technologies like robotic platforms, plant health detection sensors, robotic harvesters, unmanned aerial vehicles, soil nutrient mapping using MATLAB etc., which can change the phase of agriculture. Present study was undertaken to summarize all the available technologies in agriculture from sowing to post harvesting. Although there are many applications, implementing an AI based technology on Indian fields is a difficult task because of the limited land holdings and different soil types. Repair and maintenance of these systems require a technical authority who should be available now and then for quick assistance. Top Keywords Artificial intelligence, GPS, NDVI, Remote sensing, Robotic harvesting, VRT systems. Top |