Fish body dimension and weight rapid acquisition apparatus and acquisition method

Abstract

The invention relates to a fish body dimension and weight rapid acquisition apparatus. The apparatus comprises a window-shaped fixing device and a dimension reference object. The upper inner wall of the window-shaped fixing device is provided with a high-angle shooting pick-up head. One side wall of the window-shaped fixing device is provided with a lateral-shooting pick-up head. One side wall opposed to the side wall where the lateral-shooting pick-up head is located is provided with an LED lateral-shooting lamp box. The lower inner wall of the window-shaped fixing device is provided with an LED high-angle shooting lamp box. The bottom of the window-shaped fixing device is further provided with an electronic balance. The acquisition method of the acquisition apparatus comprises the following steps of shooting a background image respectively in a high-angle shooting way and a lateral shooting way when no fish is present; shooting a dimension reference object image respectively in a high-angle shooting way and a lateral shooting way, and setting up a model for fish body dimension calculation and fish weight prediction. The fish body dimension and weight rapid acquisition apparatus which can rapidly acquire multi-parameter fish body dimension indexes and weights of fish bodies can further set up a fish body dimension and weight prediction model in a computer. The prediction precision can reach more than 90%. The model can be applied to research and development of fish weight sensors.

Description

technical field [0001] The invention relates to the field of fishery machinery and equipment, a method, system and device for quickly weighing fish in aquaculture, in particular a device and method for quickly collecting fish body size and weight. Background technique [0002] With the continuous increase of human demand for marine food and the serious decline of marine fishery resources, the world fishery, which is dominated by marine fishing, is gradually changing to mariculture. In recent years, my country's aquaculture industry has developed rapidly, but the level of aquaculture automation is still relatively low. The fish size and weight information is used as the main basis for the calculation of feeding amount, size classification, density control and judgment of growth status, which runs through the whole process of aquaculture production. Therefore, rapid collection of fish size and weight is essential for efficient management of aquaculture production. [0003] T...

AI Technical Summary

Problems solved by technology

[0003] Traditional fish size and weight information is mainly obtained by manual fishing sampling, measurement and estimation. This method has the following problems: 1) It is very stressful to the fish, and the fishing process often causes physical damage to the fish, and the fish after anesthesia measurement The mortality rate is high, which brings losses to the breeding enterprises; 2) According to statistics, the error rate of estimating the weight of fish schools by sampling measurement is as high as 15%-25%. Due to inaccurate information, breeding production management cannot completely rely on the data for decision-making This information can only be used as a reference; 3) The fishing process is time-consuming and labor-intensive, especially in cages and large breeding ponds, which makes it difficult to quickly measure

Since the fish weight is only estimated based on a single indicator, the fish weight measurement accuracy is lower than 85%, and the measurement accuracy is low

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