Single spaghetti tagging as a high-retention marking method for Japanese common sea cucumber Apostichopus japonicus

Fujino, Takumi; Sawada, Hideki; Mitamura, Hiromichi; Masuda, Reiji; Arai, Nobuaki; Yamashita, Yoh

doi:10.1007/s12562-017-1070-8

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…So the experimental data is incomplete by the labelling approach. In fact, the labels that have no effect on sea cucumbers have being developed and applied in sea-visiting experiments [10]. However, these observation methods not only can fatigue the experimenters and affect the health of sea cucumbers, but also can not guarantee the integrity of the experimental data.…”

Section: Introductionmentioning

confidence: 99%

Detection and Analysis of Behavior Trajectory for Sea Cucumbers Based on Deep Learning

Jiang

et al. 2020

IEEE Access

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The motion trajectory of sea cucumbers reflects the behavior of sea cucumbers, and the behavior of sea cucumbers reflects the status of the feeding and individual health, which provides the important information for the culture, status detection and early disease warning. Different from the traditional manual observation and sensor-based automatic detection methods, this paper proposes a detection, location and analysis approach of behavior trajectory based on Faster R-CNN for sea cucumbers under the deep learning framework. The designed detection system consists of a RGB camera to collect the sea cucumbers' images and a corresponding sea cucumber identification software. The experimental results show that the proposed approach can accurately detect and locate sea cucumbers. According to the experimental results, the following conclusions are drawn: (1) Sea cucumbers have an adaptation time for the new environment. When sea cucumbers enter a new environment, the adaptation time is about 30 minutes. Sea cucumbers hardly move within 30 minutes and begin to move after about 30 minutes. (2) Sea cucumbers have the negative phototaxis and prefers to move in the shadows. (3) Sea cucumbers have a tendency to the edge. They like to move along the edge of the aquarium. When the sea cucumber is in the middle of the aquarium, the sea cucumber will look for the edge of the aquarium. (4) Sea cucumbers have unidirectional topotaxis. They move along the same direction with the initial motion direction. The proposed approach will be extended to the detection and behavioral analysis of the other marine organisms in the marine ranching. INDEX TERMS Artificial intelligence (AI), animal behavior, deep learning, object detection, faster R-CNN, marine ranching, sea cucumber.

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Section: Introductionmentioning

confidence: 99%