HIGHLIGHTS
- who: Xiaojun Jin from the (UNIVERSITY) have published the paper: Deep learning for detecting herbicide weed control spectrum in turfgrass, in the Journal: (JOURNAL)
- what: The aim of this research was to evaluate the effectiveness of using deep convolutional neural networks (DCNNs) for detecting and discriminating weeds growing in turfgrass based on their susceptibility to ACCase-inhibiting and synthetic auxin herbicides. The aim of the training dataset is to learn representations of different weeds and complex field environments on the performance of deep learning models applied to natural images.
- future: In the future . . .
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