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Fruit Detection Using Image Processing Technique

Authors(2) :-Ketki Tarale, Prof. Anil Bavaskar

Agriculture is mother of all culture, due to the increase demand in agriculture industries the need to effectively grow a plant an increase its yeild is very important. In this study, a method is proposed to detect fruits on tree using image processing technique. For counting the fruits, the main problem is variable lighting conditions for the environment in outdoor. The additional problem is the occlusion of fruits by leaves, branches, and the other fruits. In the proposed method these problems are also examined. External appearance is one of the most significant attributes for fruits when consumers decide to choose or reject them, thus packinghouses need to adopt appropriate systems that are capable of detecting the skin defects for fruits before packing them into batches and reaching the end consumers. In this paper we also differentiate the healthy fruits and fruits which are infected by diseases.
Ketki Tarale, Prof. Anil Bavaskar
Fruit Detection; Image Processing; Skin Defects; End Consumers
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Publication Details
  Published in : Volume 3 | Issue 2 | January-February 2017
  Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 178-183
Manuscript Number : NCAEAS2343
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Ketki Tarale, Prof. Anil Bavaskar, "Fruit Detection Using Image Processing Technique", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 2, pp.178-183, January-February-2017
URL : http://ijsrst.com/NCAEAS2343