Agricultural Pests Tracking and Identification in Video Surveillance Based on Deep Learning

You-Hua Zhang
You-Hua Zhang
Yun-Zhi Wu
Yun-Zhi Wu
Yi Yue
Yi Yue

ICIC, pp. 58-70, 2017.

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Abstract:

Agricultural pests can cause serious damage to crops and need to be identified during the agricultural pest prevention and control process. In comparison with the low-speed and inefficient artificial identification method, it is important to develop a fast and reliable method for identifying agricultural pests based on computer vision. Ai...More

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