Title :
Palm fruit harvester algorithm for elaeis guineensis oil palm fruit grading using UML
Author :
Gaurang Patkar;G. S. G. N. Anjaneyulu;P. V. S. S. R. Chandra Mouli
Author_Institution :
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India
Abstract :
This paper intends to solve palm fruit grading using the proposed prototype and Palm fruit ripeness Unified Modeling Language diagrams. In this paper the issues of correct harvesting prediction, categorizing palm fruits and distinguishing Ripe and Overripe fruit is solved suing Unified Modeling Language (UML) diagrams. UML diagrams designed and shown in the paper helped to model and implement the palm fruit harvester algorithm. The proposed algorithm is implemented in Visual C++ and results are tested with the live data collected from field and farmers. This research will resolve the issue of manual grading thereby helping farmers in producing good quality oil production and also will help researchers to use the prototype for implementation.
Keywords :
"Unified modeling language","Image color analysis","Cameras","Algorithm design and analysis","Visualization","Color","Prototypes"
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-7848-9
DOI :
10.1109/ICCIC.2015.7435700