[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-14-09-2022-304

Title : THE SCOPE OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE AND HEALTHCARE SECTORS - A COMPREHENSIVE REVIEW
Vidya H A, Narasimha Murthy M S, Supritha N

Abstract :

Agriculture and health are the two interconnected fields as they are linked with the well being of the people which is of primary concern in today’s world. They serve as backbone for human life and economic system of the country. Agriculture is crucial for maintaining good health. In contrast, health also affects agriculture by demanding good agricultural products. We can see that these days health is affected by consuming adulterated food. There is a high need of improving the quality of agricultural products we use, which helps in maintaining good health. Good health creates healthy people and communities which in turn aids in achieving ecological and economic balance in the world. Thinking bigger, we need to apply the technologies to improve both agriculture and health to monitor different issues in both the sectors. Nowadays, Artificial Intelligence (AI) is playing a vital role in almost all fields. Machine Learning (ML) and Deep Learning (DL) being the part of Artificial Intelligence are gaining more and more importance and benefits in different sectors. In this paper, we see how Artificial Intelligence, Machine Learning and Deep Learning have their influence in the field of agriculture and health in particular. The paper contains the major algorithms and tools used in Artificial Intelligence to benefit in these two sectors. General Terms: Applications, Algorithms, Tools. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Healthcare, Agriculture.