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Weed Identification Using Deep Learning and Image Processing in Vegetable Plantation PDF

11 Pages·2022·English
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by ['Sirilavanya Sirilavanya']| 2022| 11 pages| English

About Weed Identification Using Deep Learning and Image Processing in Vegetable Plantation

This document summarizes a research paper that proposes a new method for weed identification in vegetable plantations using deep learning and image processing. The method has two stages: 1) A CenterNet deep learning model is trained to detect vegetables and draw bounding boxes around them. Remaining green objects outside the boxes are considered weeds. 2) Color index-based image segmentation is used to extract weeds from the background, with the color index determined by genetic algorithms. The model achieved 95.6% precision, 95.0% recall, and 0.953 F1 score during field tests, demonstrating the feasibility of the proposed method for ground-based weed identification in vegetable plantations.

Detailed Information

Author:['Sirilavanya Sirilavanya']
Publication Year:2022
Pages:11
Language:English
Format:PDF
Price:FREE
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