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Intelligent bivalve mollusk planktonic larva detection method based on deep learning

A technology for planktonic larvae and bivalve mollusks, applied in neural learning methods, image analysis, image enhancement and other directions to achieve the effect of increasing efficiency

Pending Publication Date: 2022-07-22
INST OF OCEANOLOGY - CHINESE ACAD OF SCI
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Problems solved by technology

[0005] According to the needs of the industry and the problems existing in the prior art, the present invention discloses an intelligent detection method for bivalve planktonic larvae based on deep learning, which solves the problem of planktonic larvae under microscope observation conditions in the current bivalve seed breeding industry. Automatic counting and physical shell length measurement function

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  • Intelligent bivalve mollusk planktonic larva detection method based on deep learning
  • Intelligent bivalve mollusk planktonic larva detection method based on deep learning
  • Intelligent bivalve mollusk planktonic larva detection method based on deep learning

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Embodiment Construction

[0031] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0032] This embodiment provides a method for intelligently detecting bivalve larvae based on deep learning, such as figure 1 shown, including the following steps:

[0033] (1) Microscopic image collection of planktonic larvae of bivalve mollusks: Take the planktonic larvae of bivalve mollusks in different stages of artificial breeding and place them in the embryo dish. After identifying the species name of the larvae, add iodine tincture to anesthetize, and after the larvae sink to the bottom, put the embryo dish Placed under an optical microscope, the optical microscope has an eye micrometer, and the eye micrometer has laser-engraved dots with a diameter of 100 microns, and the microscopic images of planktonic larvae with bivalve mollusks are obtained by manual photography. The number of images should be as large as possible to better train th...

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Abstract

The invention discloses an intelligent detection method for bivalve mollusk planktonic larvae based on deep learning. The intelligent detection method comprises the steps of bivalve mollusk planktonic larva microscopic image collection with ink dots, image preprocessing, planktonic larva data set making, application model training and obtaining and planktonic larva detection. According to the method, intelligent detection of the number and the shell length of bivalve planktonic larvae under the microscopic view is realized through a deep learning method, so that the workload and the working time of artificial microscopic observation of the larvae are reduced, and the working efficiency of larva observation in the aquatic product field is greatly improved.

Description

technical field [0001] The invention relates to the field of deep learning and marine shellfish fry breeding, in particular to an intelligent detection method for planktonic larvae of bivalve shellfish based on deep learning. Background technique [0002] Shellfish is the most diverse and dominant animal group among marine benthic animals. Among them, large species of bivalves, such as oysters, clams, clams, and scallops, are the main food, breeding and fishing objects. , has important economic value. Since the 1990s, the wave of marine bivalve breeding represented by scallop breeding has promoted the rise of the shellfish seed breeding industry, and at the same time has put forward higher requirements for bivalve seed breeding technology and management level. Planktonic larvae are the larval period that relies on the plankton camp to live in the shellfish life history, and it is also the most important management stage in the breeding process of shellfish seedlings. The c...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06N3/08G06N3/04G06K9/62G06V10/774G06V10/82
CPCG06T7/0002G06N3/08G06T2207/20081G06T2207/10056G06N3/045G06F18/214G06T5/70
Inventor 张涛马培振毛国君熊保平翁伟栋胡朋朋廖观奕
Owner INST OF OCEANOLOGY - CHINESE ACAD OF SCI
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