HIGHLIGHTS
- who: Rong-Zhou Qiu et al. from the University of Florida, United States have published the paper: An automatic identification system for citrus greening disease (Huanglongbing) using a YOLO convolutional neural network, in the Journal: (JOURNAL)
- what: Similarly, Wang et_al showed that the accuracy and speed of the YOLO framework was better when constructing models aimed at detecting tomato diseases and pests compared to those of Faster R-CNN, Mask R-CNN, and SSD, even with image occlusion and overlapping in the natural environment. The detection performance of the model was better for experienced users . . .
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