… proposed a semantic segmentation method that is based on fully convolutional network with
the … weeds in paddy field images. The proposed method is compared with a classic semantic …

… weed segmentation proceeds according to the second model shown in Fig. 2. In this study,
the crop and weed segmentation … region detection for crops and weeds, whereas the cross-…

… U-net based on the characteristics of a weed segmentation task. The U-net was simplified. …
9, the segmentation result of the fully convolutional network on the leaf edge was bad. This …

… In this paper, we have presented an improved semantic segmentation network for crop/weed
recognition. Our network is integrated with the hybrid dilated convolutional layer and …

… critical step in precision weeding. A modified U-net for segmenting wheat and weeds on
images was … The segmentation effect of the fully convolutional neural network was the worst. Its …

… In this work, the accuracy of the weed and crop segment is analyzed using two different …
convolutional network and the ResNet. An open database with images of 40 plants and weeds …

… The proposed crop weed classification system was used an encoder-decoder … convolutional
network [16]. The structure of the encoder and decoder was organized as each convolution …

… and the segmentation module, was investigated for weed detection in this study. As shown
in Fig. 3, the overall network structure was mainly composed of three parts. Weed samples of …

… segmentation was used in conjunction with convolutional neural networks to segment crops
and weeds. … algorithms were used for the segmentation of crops/weeds as well to make a …

… In particular, we use two Convolutional Neural Networks (CNNs) to simplify and speed up
… -decoder segmentation network is designed to perform a "plant-type agnostic" segmentation …