Design and Implementation of Agriculture Data Aggregation Using Expert System

  • Mahendra Kumar Ratre, Dr. Ravindra Kumar Gupta, Dr. Shikha Agrawal

Abstract

Given India's enormous agricultural potential, technology must be utilised to the utmost extent feasible so that farmers and consumers can benefit fully. We've seen a lot of new Agtech companies spring up around the country as a result of recent technology advancements and enhanced government laws, providing a good start to the penetration of sophisticated technologies like IA in agriculture. The agriculture industry, which is strongly reliant on often-unpredictable weather conditions, benefits greatly from AI. We've seen examples of organisations combining soil and crop surveillance sensors, as well as predictive analytical AI and machine learning techniques, to provide an open, online marketplace where crops can be sold and bought. The enormous value it can provide will almost certainly lead to further AI applications in agriculture in the near future. In order to create and implement an expert system for agricultural data aggregation.

Published
2021-10-13
How to Cite
Mahendra Kumar Ratre, Dr. Ravindra Kumar Gupta, Dr. Shikha Agrawal. (2021). Design and Implementation of Agriculture Data Aggregation Using Expert System. Design Engineering, 3629-3635. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/5309
Section
Articles