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About Sensors 19 03787
This document discusses a system for identifying weeds and crops using deep learning techniques on a Raspberry Pi. The system achieves over 10 frames per second for semantic segmentation of plant species using a custom convolutional neural network architecture combining U-Net, MobileNets, DenseNet and ResNet concepts. The network was trained on a large database of unlabeled data using knowledge distillation to reduce the need for manual labels. The system is part of an automated weeding machine and achieved 47-67% accuracy in detecting weed areas with low misclassification of crops.
Detailed Information
| Author: | ['Pamela Gálvez Trujillo'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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