Yield Estimation of Chilli Crop using Image Processing Techniques

In agriculture, determining the total number of chilli fruits to estimate the amount of crop yield plays an important role. Determining manually the total number of chilli fruits in an orchard is a tedious job, also it requires huge human resource, cost and has low accuracy. In this research work, a...

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Bibliographic Details
Main Authors: Bhookya, Nageswararao Naik, Malmathanraj, R., Palanisamy, P.
Format: Conference Proceeding
Language:English
Subjects:
Agriculture
Color
Computer vision
Delta E
Image color analysis
Lab color space
Manuals
Mathematical model
Morphological operations
Shape
Yield estimation
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Summary:In agriculture, determining the total number of chilli fruits to estimate the amount of crop yield plays an important role. Determining manually the total number of chilli fruits in an orchard is a tedious job, also it requires huge human resource, cost and has low accuracy. In this research work, a novel approach is proposed, for detecting and counting ripened chilli fruit from the plant images. It helps farmers to plan the manual labor to harvest the crop, shipment, sales and operations related to the post harvest. Computer vision techniques can help to precisely count the chilli fruits of the orchard. Therefore, an automated determination and counting the number of chilli fruits is introduced in the agricultural farms. The proposed technique achieves fine accuracy when compared towards ground truth chilli fruit images.
ISSN:2575-7288
DOI:10.1109/ICACCS48705.2020.9074257