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 Computing Science and Engineering, VIT University, Vellore-632014, India ' School of Computing Science and Engineering, VIT University, Vellore-632014, India
Abstract: Farmers in rustic India have negligible access to rural specialists, who can investigate edit pictures and render counsel. Deferred master reactions to inquiries regularly achieve farmers past the point of no return. This paper addresses the above issue with the target of building up another calculation to review Elaeis guineensis types of oil palm fruit to help agriculturists and analysts using two features namely colour and number of detached fruitlets. The structure outlined can unravel issues of human reviewing evaluating in light of two qualities and anticipate the rate of free unsaturated fat and oil content. Since manual evaluating is inclined to blunder, the nature of oil expelled from substance is low. Hence, there is a need to automate the process. The computerisation of the manual evaluating procedure is finished with the proposed oil palm fruit harvester algorithm calculation using unified modelling language (UML).
Keywords: fruitlets; modelling; Elaeis guineensis; oil palm fruit; unified modelling language; UML; free fatty acid.
International Journal of Computer Aided Engineering and Technology, 2020 Vol.12 No.1, pp.113 - 129
Received: 03 Aug 2017
Accepted: 30 Aug 2017
Published online: 27 Nov 2019 *