Guangdong Ocean University

Xiaohong Peng

Sidong Li

Jun Zhang

Jiahui Chen

Zhaohong Zhu

Ying Ding

Yifan Li

Shufu Lin

Liang Chen

Xiaopeng Zhao

Zixiang Liang

Shiyi Xie

A monitoring device for mangrove soil restoration includes a body, each of four corners of a lower surface of the body is provided with a locking universal wheel, a central position of the body is provided with a piling hole passing through the body, an upper surface of the body is connected to a frame, two inner surfaces of the frame are provided with sliding grooves, the sliding grooves are movably connected to a pile device, a lower surface of the pile device is provided with a round tube, the round tube is disposed above the pilling hole, two sides of the frame are provided with two fixing holes respectively, the two fixing holes are provided a stop rod therethrough. The monitoring device avoids that soil sampling is generally conducted after deep excavation with shovel manually, which saves manpower and the surrounding soil will not affect sampling results.

Monitoring device for mangrove soil restoration

A training method of underwater sea urchin image recognition model, and underwater sea urchin image recognition method and device are provided. The training method includes: constructing an underwater sea urchin image recognition model, acquiring an underwater sea urchin image dataset; performing MSRCR on the underwater sea urchin image dataset; processing the underwater sea urchin image dataset by a dark channel prior method; performing image fusion to obtain a fused image dataset; sharpening the fused image dataset to obtain a training image dataset; and training the underwater sea urchin image recognition model by using the training image dataset. By performing MSRCR and dark channel prior processing on the image, and then performing image fusion and sharpening based on a point sharpness weighting method, the quality of image is improved, and an accuracy of subsequent sea urchin object detection is improved.

Training method of underwater sea urchin image recognition model, and underwater sea urchin image recognition method and device

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Zhanjiang, China

Xiaohong Peng