Segmentation of Arecanut Bunches using HSV Color Model

Arecanut is one of the commercial crop of south India. Arecanut maturity level decides its price in the market. To maximize the profitability, Farmer needs expertise to determine the maturity level of Arecanut. This lack of ability leads to low profit for their crops. Use of Image Processing and Com...

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Bibliographic Details
Published in2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) pp. 37 - 41
Main Authors Dhanesha, R., Shrinivasa, Naika C. L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2018
Subjects
Agriculture
arecanut bunches and HSV (Hue Saturation Value)
closing
Computational modeling
Computer vision
erosion
harvesting
Image color analysis
Image segmentation
Measurement
ripeness
segmentation
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Summary:Arecanut is one of the commercial crop of south India. Arecanut maturity level decides its price in the market. To maximize the profitability, Farmer needs expertise to determine the maturity level of Arecanut. This lack of ability leads to low profit for their crops. Use of Image Processing and Computer Vision techniques in precision agriculture allowed farmers to take necessary steps to harvest by identifying the maturity level of fruits and vegetables. To identify maturity level segmentation of Arecanut bunches is required for automated expertise. In this paper, proposed a segmentation method to segment Arecanut bunches using HSV color model towards the view of identifying automatic maturity level of arecanut bunches. The results of experiment clarifies the proposed method effectiveness which is better to segment the arecanut bunches for future analysis.
DOI:10.1109/ICEECCOT43722.2018.9001632