Jul 24, 2019 · A segmentation algorithm is proposed by modified fully convolutional networks (FCNs) to deal with the problem of segmenting spots from crop leaf ...

A segmentation algorithm by modified fully convolutional networks (FCNs) to deal with the problem of segmenting spots from crop leaf disease image with ...

A segmentation algorithm is proposed by modified fully convolutional networks (FCNs) to deal with the problem of segmenting spots from crop leaf disease image ...

Oct 15, 2024 · An architecture grounded in deep learning was proposed using convolutional neural networks to categorize multiple pests within a plant disease ...

Jul 4, 2024 · In this paper, semantic leaf disease segmentation using deep convolutional neural networks and encoder-decoder architecture was applied to a ...

An improved U-Net (MU-Net) is constructed for plant diseased leaf image segmentation by introducing a residual block (Resblock) and a residual path (Respath).

Oct 6, 2022 · In this work, we proposed a solution to detect tomato plant disease using a deep leaning-based system utilizing the plant leaves image data.

A segmentation algorithm by modified fully convolutional networks (FCNs) to deal with the problem of segmenting spots from crop leaf disease image with ...

Most of the existing crop leaf and disease spot segmentation models are based on CNN, which achieve translation, scaling, and distortion invariance through ...

Experimental results show that the improved model can provide reliable segmentation results under different leaf sizes, different lighting conditions, different ...