Deep Learning Supported Food Security in Developing Countries

Abstract

Technology support is vital for the growth of any country. Food Security, in particular, is vital for the growth of any country. Deep learning(DL) augmented methods have helped many countries like India, China, Australia etc. in health, agriculture, medical, education, and various field for a better economy. This mechanism was used in many countries for a better sanitary system in cities. The focus of this study is to explore the possibilities of DL in an Agrarian Economy. We have studied various papers & systems in the world and summarize the strengths of DL in this paper. After a thorough literature survey, we can conclude that deep learning offers a robust method to monitor the diseases of various crops, the yield of crops especially to Wheat, Maize, Sugarbeet, Barley, and Sunflowers thus enabling food security.