Cognitive Computing For Sustainable Agriculture

Authors

  • T. Manjula Research Scholar, Department of Computer Science and Engineering, Sri Padmavati Mahila Visva Vidyalayam, Andhra Pradesh, India
  • T. Sudha Professor, Department of Computer Science Sri Padmavathi Mahila Viswa Vidyalayam, Tirupati, Andhra Pradesh, India

Keywords:

Cognitive Computing, Cognitive Technology, Sustainable Agriculture

Abstract

Cognitive computing in agriculture is going to be a big revolution like the green revolution. Agriculture is a big step that accompanied the humanity to evolve from the ancient times to the modern days and has fulfilled the basic need for food supply. Today still remains it’s at most importance. Cognitive computing uses cognitive technologies in agriculture that help to understand, learn from experiences and environment, reason, interact and thus increase the efficiency. Civilization has led to more urbanization. There are more people than available food. There is a great necessity to increase the per meter yield, So many techniques have been for seen in agriculture in terms of usage of pesticides and fertilizers, use of hybridization and green revolution to increase the production in agriculture. Now the use of modern technologies such as artificial intelligence and cognitive computation is going to bring a new big revolution for sustainable agriculture. The present paper focuses on the problems faced by the modern society in agriculture and how the cognitive computation provides an ultimate solution to the problems. We also discuss some illustrations for the usage of cognitive technologies and machine learning in the field of agriculture.

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Published

15-11-2019

How to Cite

Manjula, T., & Sudha, T. (2019). Cognitive Computing For Sustainable Agriculture . Asian Journal of Computer Science and Technology, 8(3), 32–34. Retrieved from https://ojs.trp.org.in/index.php/ajcst/article/view/2738

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