Abstract: In image processing mechanism recognition of images, plays a key role and it is applied all over methods of processing with a techniques. Cucumber is broadly cultivated vegetable, due to its delicious taste and short vegetative cycle. Matured field grown cucumbers to be harvest in time of their quick maturity stage. It will harvest to reduce the quality of vegetable and it slows the mature to next one. But the problem is need of many workers for short farming, so the cucumber harvesting robot need to be utilized by our existing system. In existing system the robots are used to harvest field grown cucumbers to realize machine learning examples. In our proposed work we recognize field grown cucumbers using color difference mechanism, but in existing they have only used shape based methods, it only gives 80% of accuracy. Using of color difference mechanism with shape difference gives more accuracy.
Keywords: Color Difference, Image Segmentation and Multi template library.
Title: ENHANCED DETECTION OF FIELD GROWN CUCUMBERS USING MACHINE LEARNING TECHNIQUES
Author: G.Iswarya, C.Mohana Priya
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Research Publish Journals
