Segmentation of <i>Tuta Absoluta</i>’s Damage on Tomato Plants: A Computer Vision Approach
نویسندگان
چکیده
Tuta absoluta is a major threat to tomato production, causing losses ranging from 80% 100% when not properly managed. Early detection of T. absoluta’s effects on plants important in controlling and preventing severe pest damage tomatoes. In this study, we propose semantic instance segmentation models based U-Net Mask RCNN, deep Convolutional Neural Networks (CNN) segment the leaf images at pixel level using field data. The results show that RCNN achieved mean Average Precision 85.67%, while model an Intersection over Union 78.60% Dice coefficient 82.86%. Both can precisely generate segmentations indicating exact spots/areas infested by leaves. will help farmers extension officers make informed decisions improve productivity rescue annual losses.
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ژورنال
عنوان ژورنال: Applied Artificial Intelligence
سال: 2021
ISSN: ['0883-9514', '1087-6545']
DOI: https://doi.org/10.1080/08839514.2021.1972254