Weed detection in canola fields using maximum likelihood classification and deep convolutional neural network
Herbicide use is rising globally to enhance food production, causing harm to environment and the ecosystem. Precision agriculture suggests variable-rate herbicide application based on weed densities to mitigate adverse effects of herbicides. Accurate weed density estimation using advanced computer v...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2020-12-01
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| Series: | Information Processing in Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214317319302355 |