Application of Fuzzy Expert System for Analyzing Agriculture Data

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Author(s): Jharna Majumdar (Nitte Meenakshi Institute of Technology, India), Shilpa Ankalaki (Nitte Meenakshi Institute of Technology, India)and Sabari Prabaaker (Nitte Meenakshi Institute of Technology, India)
Copyright: 2020
Pages: 17
Source title: Fuzzy Expert Systems and Applications in Agricultural Diagnosis
Source Author(s)/Editor(s): A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)and M. Kalpana (Tamil Nadu Agricultural University, India)
DOI: 10.4018/978-1-5225-9175-7.ch002

Keywords: Agricultural & Food Technologies / Environment & Agriculture / Environmental Science and Technologies / Information Science Reference

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Abstract

Agriculture plays a major role in the Indian economy. India is rich in production of crops like rice, cotton, wheat, soybean, sugar; fruits and vegetables like onion, tomatoes, potatoes; dairy; and meat products. India is ranked first worldwide for the production of banana, jute, mango, cardamom, and ranked second worldwide for the production of rice, tomato, potato, and milk. India's agriculture contributed 4759.48 INR billion to the GDP during the first three months of 2018, and it has been reduced drastically during the second three months of 2018 (i.e., it has been reduced to 4197.47 INR billion). The average GDP is 4057.73 INR billion from 2011 until 2018; the agricultural contribution to GDP reached its highest level, that is 5666.82 INR billion, in the last three months of 2017. This chapter explores the application of fuzzy expert systems for analyzing agricultural data.

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