Title: POFGURST: an expert intelligent system for mechanised oil palm fruit evaluating framework

Authors: Gaurang S. Patkar; G.S.G.N. Anjaneyulu; P.V.S.S.R. Chandra Mouli

Addresses: School of Computing Science and Engineering, VIT University, Vellore-632014, India ' School of Advanced Sciences, VIT University, Vellore-632014, India ' School of Computing Science and Engineering, VIT University, Vellore-632014, India

Abstract: The POFGURST framework is a product bundle for palm oil organic product reviewing initiating unpleasant set based lead models. It is an apparatus for reviewing utilising unthinkable information inside the structure of harsh set hypothesis. POFGURST is intended to support the palm oil reviewing and information revelation process: From beginning perusing and preprocessing of the information, by means of calculation of insignificant trait sets and generation of if-then standards or expressive examples, to approval and investigation of the initiated principles or examples. POFGURST offers an exceedingly natural GUI environment where information navigational capacities are underlined. This product is uniquely intended for oil palm fruit evaluating and also malady expectation.

Keywords: rough set theory; RST; agriculturist; fuzzy logic; robotisation; POFGRUST; neural system; chlorosis.

DOI: 10.1504/IJIEI.2019.097554

International Journal of Intelligent Engineering Informatics, 2019 Vol.7 No.1, pp.89 - 106

Received: 06 Sep 2017
Accepted: 09 Mar 2018
Published online: 28 Jan 2019 *

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