A REVIEW OF COMPUTATIONAL BIOLOGY APPROACHES IN AGRICULTURE

Abstract

Tremendous increase in the world population may lead to the shortage of food in the near future. In order to cop up with the growing need, agriculture field has to improve by producing quality wise products with large quantity. There are many challenges in the agriculture filed such as scarcity of water, shortage of labor, sudden climate changes and to address these issues, we need a makeover in the current scenario. With the evolution of Computation Biology in Artificial Intelligence, Machine Learning and Deep Learning, researchers use most modern genetic approaches with the help of GPS devices and RFID tags for the development of agriculture. This paper reviews the use of technology in agricultural automation and thereby give an insight into technology-based agriculture.