Method and device for evaluating release and proliferation effect of portunus trituberculatus and electronic equipment

Abstract

The application provides the technical field of marine fishery propagation, and provides a method and device for evaluating the release and propagation effect of Portunus trituberculatus and electronic equipment, wherein the evaluation method comprises the following steps: after release, based on the growth cycle of Portunus trituberculatus, dynamically obtaining body size parameter feature sequences corresponding to a plurality of preset growth nodes, habitat suitability index sequences and ecological capacity sequences; inputting the above sequences into a multi-branch time sequence feature extraction network to respectively extract body size parameter time sequence change features, habitat suitability index time sequence change features and ecological capacity time sequence change features; using a multi-head attention mechanism to fuse the body size parameter time sequence change features, the habitat suitability index time sequence change features and the ecological capacity time sequence change features to obtain attention fusion features; and inputting the attention fusion features into a pre-trained Portunus trituberculatus release and propagation effect evaluation model to obtain a Portunus trituberculatus release and propagation effect evaluation result.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of marine fishery propagation, and in particular to a method and device for evaluating the propagation effect of Portunus trituberculatus and an electronic device. BACKGROUND

[0002] In order to protect the population quantity and genetic germplasm resources of Portunus trituberculatus, propagation and release work has been carried out in coastal areas. The propagation and release work of Portunus trituberculatus not only increases the resource reserve quantity of Portunus trituberculatus, but also improves the marine environment of the water area to a certain extent, and plays an important role in maintaining the balance of the marine ecosystem.

[0003] The propagation and release of Portunus trituberculatus in the prior art is often extensive, and the factors considered for the selection of the release strategy are few, and only the release quantity is often pursued, resulting in poor propagation and release effect.

[0004] Therefore, how to improve the propagation and release effect of Portunus trituberculatus becomes a technical problem to be solved. SUMMARY

[0005] The embodiments of the present application provide a method and device for evaluating the propagation effect of Portunus trituberculatus and an electronic device, to solve the technical problem in the prior art: how to improve the propagation and release effect of Portunus trituberculatus.

[0006] According to a first aspect, the present application provides a method for evaluating the propagation effect of Portunus trituberculatus, comprising: before release, obtaining the habitat suitability index of Portunus trituberculatus, the current ecological capacity of Portunus trituberculatus, and the growth characteristics of wild populations of Portunus trituberculatus in a target area;

[0007] determining the release quantity, release time and release size based on the habitat suitability index, the current ecological capacity and the growth characteristics;

[0008] After release, based on the growth cycle of the Portunus trituberculatus, dynamically obtaining a body size parameter feature sequence, a habitat suitability index sequence and an ecological capacity sequence corresponding to a plurality of preset growth nodes;

[0009] inputting the body size parameter feature sequence, the habitat suitability index sequence and the ecological capacity sequence into a multi-branch time sequence feature extraction network to respectively extract a body size parameter time sequence change feature, a habitat suitability index time sequence change feature and an ecological capacity time sequence change feature;

[0010] using a multi-head attention mechanism to fuse the body size parameter time sequence change feature, the habitat suitability index time sequence change feature and the ecological capacity time sequence change feature to obtain an attention fusion feature;

[0011] input the attention fusion feature into a pre-trained Portunus trituberculatus release and proliferation effect evaluation model to obtain a Portunus trituberculatus release and proliferation effect evaluation result.

[0012] Optionally, the step of fusing the body size parameter time series change feature, the habitat suitability index time series change feature and the ecological capacity time series change feature by using the multi-head attention mechanism comprises the following steps:

[0013] constructing a body size parameter attention matrix, a habitat suitability index attention matrix and an ecological capacity attention matrix based on a preset corresponding relationship between the body size parameter, the habitat suitability index and the ecological capacity and the release and proliferation contribution rate, respectively;

[0014] performing dot product calculation on the body size parameter time series change feature, the habitat suitability index time series change feature and the ecological capacity time series change feature and the corresponding attention matrix respectively to obtain the attention weight of the body size parameter time series change feature, the habitat suitability index time series change feature and the ecological capacity time series change feature, respectively;

[0015] fusing the body size parameter time series change feature, the habitat suitability index time series change feature and the ecological capacity time series change feature based on the attention weight to obtain the attention fusion feature.

[0016] Optionally, the method for evaluating the release and proliferation effect of Portunus trituberculatus further comprises: obtaining a second food web feature of Portunus trituberculatus as a base point in the target area after release; the second food web feature is a food web change feature sequence obtained based on the preset growth node;

[0017] inputting the food web change feature sequence into the multi-branch time series feature extraction network to extract a food web time series change feature in the second food web feature;

[0018] fusing the body size parameter time series change feature, the habitat suitability index time series change feature, the food web time series change feature and the ecological capacity time series change feature by using the multi-head attention mechanism to obtain the attention fusion feature.

[0019] Optionally, the step of determining the release quantity, release time and release size of Portunus trituberculatus based on the habitat suitability index and the current ecological capacity comprises the following steps:

[0020] determining the release quantity of Portunus trituberculatus based on the habitat suitability index and the current ecological capacity;

[0021] determining a release time and a release size based on the habitat suitability index, the current ecological capacity, and the growth characteristics.

[0022] Optionally, the method for evaluating the release and breeding effect of Portunus trituberculatus further comprises:

[0023] acquiring a second food web feature of the target area based on Portunus trituberculatus as a starting point;

[0024] adjusting the release quantity, the release time, and the release size of Portunus trituberculatus based on the second food web feature.

[0025] Optionally, after obtaining the evaluation result of the release and breeding effect, the method further comprises:

[0026] evaluating the release quantity, the release time, and the release size based on the evaluation result of the release and breeding effect, to obtain a one-to-one corresponding confidence score;

[0027] using the confidence score as an adjustment coefficient for the release quantity, the release time, and the release size of the next release.

[0028] Optionally, after the release, based on the growth cycle of Portunus trituberculatus, a body size parameter feature sequence, a habitat suitability index sequence, and an ecological capacity sequence corresponding to a preset growth node are dynamically acquired, comprising:

[0029] determining the growth cycle based on historical fishing data or bottom trawl survey data;

[0030] dividing the preset growth node based on the growth cycle and a preset body size parameter interval, the preset growth node being a time node corresponding to a preset body size parameter;

[0031] investigating and sampling Portunus trituberculatus in the target area according to the preset growth node, collecting body size parameters, habitat suitability indexes, and ecological capacities under each preset growth node, and constructing the body size parameter feature sequence, the habitat suitability index sequence, and the ecological capacity sequence.

[0032] According to a second aspect, an evaluation device for a release and breeding effect of Portunus trituberculatus is provided, comprising:

[0033] a first acquisition module, configured to acquire, before the release, a habitat suitability index of Portunus trituberculatus in a target area, a current ecological capacity of Portunus trituberculatus, and growth characteristics of wild Portunus trituberculatus in the target area;

[0034] a first evaluation module, configured to determine a release quantity, a release time, and a release size based on the habitat suitability index, the current ecological capacity, and the growth characteristics;

[0035] a second obtaining module, after the releasing, dynamically obtaining, based on a growth cycle of the tridacna, a body size parameter feature sequence corresponding to a plurality of preset growth nodes, a habitat suitability index sequence, and an ecological capacity sequence;

[0036] an extraction module, configured to input the body size parameter feature sequence, the habitat suitability index sequence, and the ecological capacity sequence into a multi-branch time sequence feature extraction network to respectively extract a body size parameter time sequence variation feature, a habitat suitability index time sequence variation feature, and an ecological capacity time sequence variation feature;

[0037] a fusion module, configured to fuse the body size parameter time sequence variation feature, the habitat suitability index time sequence variation feature, and the ecological capacity time sequence variation feature by using a multi-head attention mechanism to obtain an attention fusion feature;

[0038] a second evaluation module, configured to input the attention fusion feature into a pre-trained tridacna releasing and breeding effect evaluation model to obtain a tridacna releasing and breeding effect evaluation result.

[0039] According to a third aspect, the present application provides a computer readable storage medium, storing a computer program, the computer program being executed by a processor to implement the tridacna releasing and breeding effect evaluation method according to any one of the first aspect.

[0040] According to a fourth aspect, the present application provides an electronic device, comprising one or more processors, one or more memories, and one or more computer program instructions, the computer program instructions being executed by the processor to implement the tridacna releasing and breeding effect evaluation method according to any one of the first aspect.

[0041] The application provides a method for evaluating the release and proliferation effect of Portunus trituberculatus. Before release, the habitat suitability index of Portunus trituberculatus in a target area, the current ecological capacity of Portunus trituberculatus and the growth characteristics of Portunus trituberculatus in the wild population of the target area are obtained; the release quantity, release time and release size are determined based on the habitat suitability index, the current ecological capacity and the growth characteristics; after release, based on the growth cycle of Portunus trituberculatus, the body size parameter characteristics sequence corresponding to multiple preset growth nodes, the habitat suitability index sequence and the ecological capacity sequence are dynamically obtained; the body size parameter characteristics sequence, the habitat suitability index sequence and the ecological capacity sequence are input into a multi-branch time sequence feature extraction network to extract the body size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics and the ecological capacity time sequence change characteristics respectively; the body size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics and the ecological capacity time sequence change characteristics are fused by using a multi-head attention mechanism to obtain attention fusion features; the attention fusion features are input into a pre-trained Portunus trituberculatus release and proliferation effect evaluation model to obtain a Portunus trituberculatus release and proliferation effect evaluation result; after release, the release and proliferation effect of Portunus trituberculatus is evaluated by dynamically obtaining the growth state of Portunus trituberculatus, the influence on the environment and the ecological capacity and other information, the growth process of Portunus trituberculatus is evaluated to obtain various parameters of the growth process of Portunus trituberculatus after release, so that the growth process of Portunus trituberculatus in the release and proliferation from release to adulthood has reference data of quantitative parameters, process reference data is provided for subsequent release and proliferation, and the release and growth process data of Portunus trituberculatus can be refined. The growth process change characteristics and the cumulative change characteristics of Portunus trituberculatus are constructed based on the parameter sequence of Portunus trituberculatus in the growth process after release, and the whole process of the release and proliferation of Portunus trituberculatus can be accurately and dynamically evaluated more accurately. BRIEF DESCRIPTION OF DRAWINGS

[0042] The drawings described herein are used to provide further understanding of the present application, constitute a part of the present application, the illustrative embodiments of the present application and the description thereof are used to explain the present application, and do not constitute improper limitations on the present application. In the drawings:

[0043] Figure 1 A schematic diagram of the method for evaluating the release and proliferation effect of Portunus trituberculatus is provided for some embodiments of the present application;

[0044] Figure 2 A schematic diagram of the device for evaluating the release and proliferation effect of Portunus trituberculatus is provided for some embodiments of the present application;

[0045] Figure 3 An electronic device schematic diagram is provided for some embodiments of the present application. DETAILED DESCRIPTION

[0046] In order to make the purposes, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described clearly and completely below in combination with specific embodiments of the present application and corresponding drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work belong to the protection scope of the present application.

[0047] Based on this, the present application proposes a method for evaluating the release and proliferation effect of Portunus trituberculatus, which evaluates the effect of each release and proliferation, improves the release and proliferation strategy in real time, and thus achieves better release and proliferation effect. As shown in FIG. 1, the method can include the following steps: Figure 1

[0048] S10. Before release, obtain the habitat suitability index of Portunus trituberculatus in the target area, the current ecological capacity of Portunus trituberculatus, and the growth characteristics of Portunus trituberculatus of the wild population in the target area.

[0049] After the target area for release is selected, the variable factors can be selected by using a generalized additive model (GAM), the weight of the variable factors is analyzed by using a boosting regression tree (BRT) model, a habitat suitability index (HSI) model is constructed to evaluate and predict the habitat suitability index of the target area, and the survival quality of Portunus trituberculatus in the target area is quantitatively described.

[0050] In the present embodiment, in order to accurately determine the habitat suitability index of Portunus trituberculatus in the target area, multiple survey stations can be set in the target area, bottom trawl surveys are respectively conducted on each survey station, the survey data is standardized and converted into biomass and number per unit of time to represent the abundance of Portunus trituberculatus, and water quality analyzers are used to analyze the environmental data such as water depth, bottom water temperature and bottom salinity of the multiple survey stations in the target area. The resource abundance of Portunus trituberculatus, environmental data and other survey data of the multiple survey stations are used as variable factors, the variable factors are selected by using a GAM model, and the weight of the selected variable factors is analyzed by using a BRT model to obtain the relative contribution value of each variable factor, i.e., the weight distribution of the variable factors.

[0051] ​The variable factors of the sub-regions described by different survey stations in the target area often differ. Therefore, in this embodiment, the relationship between multiple sets of variable factors and suitability indices is constructed according to the variable factors corresponding to the sub-regions described by the survey stations. Then, multiple habitat suitability indices are constructed in the target area, and the suitability index of the target area is constructed by combining multiple habitat suitability indices.

[0052] To determine the maximum release quantity that the target area can support, the release data includes the maximum release quantity corresponding to each preset release size, requiring an assessment of the current ecological capacity of the *Portunus trituberculatus*. In this embodiment, the functional populations of the target area are first determined, and an Ecopath model of the target area is constructed based on these functional populations to analyze the trophic interrelationships among the various functional populations. The Ecopath model fully considers interspecies interactions from the perspective of matter and energy balance, based on the principles of trophic dynamics. For example, the food relationships and ecological efficiency of food competitors and predators, as well as the primary productivity that the sea area can provide, are considered. By continuously increasing the release biomass of *Portunus trituberculatus* (with a corresponding proportional increase in catch), changes in other functional groups such as prey organisms in the system are observed. When the ecological trophic efficiency of any other functional group in the model exceeds 1, the model will lose balance and change its current trophic state.

[0053] In constructing the Ecopath model, the populations of the target area are first defined, encompassing the trophic levels and energy flow pathways within the basic target area's ecosystem. Based on the principle of energy conservation, the energy output and input of each population (i) remain relatively balanced. In this embodiment, populations can be divided based on characteristics such as species, number of individuals, and diet in the target area. Species, diets, and habitats similar to these can be grouped into the same population. For example, mid-to-upper-level fish populations, bottom-dwelling fish populations, food competitors of the swimming crab (Portunus trituberculatus), and predators of the swimming crab can be treated as separate populations. In this embodiment, the focus is on the maximum number of swimming crabs that the target area can support; therefore, the swimming crab can be considered a separate population. Energy flow processes in the ecosystem also include organic detritus, phytoplankton, zooplankton, macrobenthic animals, and microbenthic animals; therefore, these species can also be treated as separate populations.

[0054] After determining the functional group (i.e., population) of the target area, the calculation formula based on the Ecopath model can be used: P i =Y i +B i *M i +E i +B' i +N i (1-E icharacterize the energy output and input of each population (i).

[0055] where Pi is the production of population i; Yi is the fishing mortality of the biological population; Bi is the biomass of population i; Mi represents the mortality of the i group due to predation; Ni is the net emigration rate; Ei represents the ecological trophic conversion efficiency of population i; B i is the biomass accumulation rate.

[0056] When constructing the Ecopath model, any three of the four basic parameters of biomass (B) of Portunus trituberculatus, production / biomass (P / B), consumption / biomass (C / B), and ecological trophic efficiency (EE) are required as input, and the food matrix Dij and output matrix Xi of Portunus trituberculatus are also input, and the ecological trophic conversion efficiency E is an unknown quantity, which is ensured to be less than 1 by adjusting the model. Among them, the consumption / biomass (C / B) is the ratio of the consumption of Portunus trituberculatus to its biomass. The empirical formula of Palomares and Pauly is used for estimation. The formula for calculating consumption / biomass (C / B) can be:

[0057] ln(C / B) = 7.964-0.204lnW∞-1.965T'+0.398d

[0058] T' = 1 000 / (T+273.15)

[0059] where W∞ is the asymptotic body mass of the von Bertalanffy growth equation; h is a Boolean variable; d is a Dummy variable; T' is the average water temperature of the target area.

[0060] Under the condition of keeping the energy output and input of the Portunus trituberculatus population relatively balanced, the following is further calculated:

[0061] B(P / B)E-∑B(C / B)Dij-Xi = 0.

[0062] By continuously increasing the release biomass of Portunus trituberculatus (the fishing amount is also proportionally increased), when the ecological trophic efficiency of any other functional group in the model is greater than 1, the model will lose balance and change the current nutritional status.

[0063] In this embodiment, the survival quality of Portunus trituberculatus in the target area is characterized by evaluating and predicting the habitat suitability index of the target area; and the maximum release quantity corresponding to each preset release size in the current area is characterized by evaluating the current ecological capacity of Portunus trituberculatus.

[0064] Through bottom trawl investigation on the target area, the carapace width and body mass of Portunus trituberculatus collected are measured to obtain multiple groups of carapace width and body mass data groups, wherein the group interval of the data groups can be set according to 10mm carapace width interval. Based on the multiple groups of carapace width and body mass data groups, a growth characteristic equation function of the target area is constructed for fitting:

[0065] L i =L ∞ [1-e -k(ti-t0) ];

[0066] W i =W ∞ [1-e -k(ti-t0) ] b ;

[0067] Wherein, t0 is a theoretical growth starting age point, t i is the ith preset growth node (the age point corresponding to every preset time interval from t0), L i is the carapace width corresponding to the ith preset growth node, W i is the body mass corresponding to the ith preset growth node; k is a growth parameter, L ∞ is an asymptotic carapace width, W ∞ is an asymptotic body mass, and b is a power index, and e is a natural constant.

[0068] S20. determining the release quantity, release time and release size based on the habitat suitability index, the current ecological capacity and the growth characteristic.

[0069] After the Ecopath model of the target area is constructed, the release biomass of Portunus trituberculatus is simulated to increase continuously, and the release biomass of Portunus trituberculatus when the model is about to lose balance is the maximum release quantity of the target area.

[0070] In an embodiment, as the environmental data of the target area may change in different time periods, for example, the bottom water temperature of the target area is different in different seasons, the rainfall is different, the bottom salinity also has an influence, and the resource abundance related to the swimming crab is also different in different time periods, for example, the food source of the swimming crab, the food competitors of the swimming crab, and the predators of the swimming crab all have a strong correlation with the habitat suitability index of the swimming crab, and the resource abundance of the swimming crab is also one of the determinants of the habitat suitability index. In this embodiment, the resource abundance related to the swimming crab in the target area is determined by calculating the suitability index of the target area. Then the influence of the release quantity of the swimming crab on the habitat suitability index is determined to reversely constrain the maximum release quantity of the swimming crab. Therefore, the reasonable release quantity of the swimming crab can be determined by the habitat suitability index and the current ecological capacity.

[0071] As the released swimming crab larvae are relatively fragile in the early stage and are greatly affected by the environment, the habitat suitability index at the time of release is extremely important for the survival rate of the swimming crab in the early stage. In addition, the natural mortality rate of the larvae often presents an inverse function relationship with the body length, that is, the larger the size of the seedlings, the stronger the ability to adapt to the environment and escape from enemies, and the higher the survival rate. At the same time, the relationship between the released swimming crab and the wild population also needs to be considered. The relationship between the released swimming crab and the wild population often has the following relationships:

[0072] In terms of feeding competition: the adaptability of the released swimming crab to the environment is much worse than that of the wild population, so the competitiveness of the released swimming crab with the same body size is much smaller than that of the wild population. However, an excessively large release size will form reverse competition to the wild population, resulting in a decrease in the competitiveness of the wild population. Therefore, the release size and release time need to be adjusted based on the current wild population quantity and body size.

[0073] In terms of being preyed: the released swimming crab and the wild population are also faced with predators in the larval stage, and moderately increasing the total population quantity of the swimming crab is beneficial to improving the release and breeding effect of the swimming crab.

[0074] In terms of genes: the released larvae are bred from a limited number of parents, and the genomic composition of the parents is relatively similar, so large-scale release may lead to problems such as change in population gene frequency, loss of genetic diversity, and decrease in genetic fitness. Therefore, the release quantity also needs to be further limited by genetic influencing factors.

[0075] In this embodiment, the environmental factors, the food source of the swimming crab, the food competitors of the swimming crab, and the predators of the swimming crab are evaluated based on the habitat suitability index.

[0076] The current viability value of the wild population is evaluated by the environmental factors determined by the habitat suitability index, and the first competitiveness of the wild population and the second competitiveness of the released population are evaluated based on the food source amount of the mitten crab in the target area and the current viability value. The release size of the released population reaching the same competitiveness as the wild population is determined based on the first competitiveness and the second competitiveness. In an embodiment, the relationship between the release size and the size of the wild population can also be determined with a preset coefficient. For example, the size of the wild population can be 80%-90% of the release size, and the feeding competitiveness is equivalent.

[0077] In an embodiment, the food source amount of the mitten crab can include food source species of the mitten crab and the abundance of each food source species. In this embodiment, the food source species of the mitten crab can be determined based on the growth characteristics of the mitten crab and the known food sources of the mitten crab at each growth node. For example, the mitten crab is omnivorous when it is a juvenile, mainly eating algae, aquatic plants, plankton, etc. When it is an adult, it eats shellfish, miscellaneous fish, and shrimps. Based on this, the abundance of various types of food sources obtained through historical investigation of the target area can be used as the food source amount of the mitten crab.

[0078] For the determination of the release time, a plurality of candidate time periods can be determined by the habitat suitability index, and the body type of the wild population at each preset growth node can be determined by the growth characteristics of the wild population. The candidate preset growth node corresponding to the appropriate wild population body type is selected, and the time period overlapping the candidate preset growth node and the candidate time period is taken as the release time.

[0079] S30. After release, based on the growth cycle of the mitten crab, the body type parameter feature sequence corresponding to the preset growth node, the habitat suitability index sequence, and the ecological capacity sequence are dynamically obtained. After release, the growth of the released mitten crab needs to be dynamically observed, and the release strategy and release effect are dynamically evaluated. In this embodiment, the growth cycle of the mitten crab in the target area can be determined in advance, for example, through historical fishing data or bottom trawl investigation data. After obtaining the growth cycle, the preset growth node is divided based on the growth cycle and the preset body type parameter interval. The preset growth node is the time node corresponding to the preset parameter when the body type parameter reaches the preset parameter. In another embodiment, the preset growth node can also be divided according to a preset time period. For example, the growth cycle is N months, which can be evenly divided according to a preset time length, for example, the preset time length can be one month, and thus the growth cycle is divided into N preset growth nodes.

[0080] In this embodiment, after determining the preset growth node, the target area of the released target area is investigated and sampled according to the preset growth node, and the size parameter characteristics, habitat suitability index and ecological capacity of each preset growth node are collected to construct the size parameter characteristic sequence, habitat suitability index sequence and ecological capacity sequence respectively. In this embodiment, in order to improve the accuracy of the size parameter characteristic sequence, the habitat suitability index sequence and the ecological capacity sequence, the time interval between the preset growth nodes can be as short as possible. The time series related sequence characteristics obtained dynamically can be used as evaluation factors for the growth of the released Portunus trituberculatus and the impact on the environment.

[0081] When evaluating the release and proliferation effect of Portunus trituberculatus, not only the amount of Portunus trituberculatus after adulthood needs to be evaluated, but also the growth process needs to be evaluated to obtain various parameters of the growth process of Portunus trituberculatus after release, so as to provide reference data for the release and proliferation process of Portunus trituberculatus from release to adulthood, and to refine the growth process data of Portunus trituberculatus after release. In one embodiment, the growth process change characteristics and cumulative change characteristics of Portunus trituberculatus can be constructed based on the parameter sequence of the growth process of Portunus trituberculatus after release, and the whole process of the release and proliferation of Portunus trituberculatus can be more accurately and dynamically evaluated. Therefore, when evaluating the release and proliferation effect of Portunus trituberculatus, the following are included:

[0082] S40. Input the size parameter characteristic sequence, the habitat suitability index sequence, and the ecological capacity sequence into a multi-branch time sequence feature extraction network to extract size parameter time sequence change characteristics, habitat suitability index time sequence change characteristics, and ecological capacity time sequence change characteristics.

[0083] S50. Fuse the size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics, and the ecological capacity time sequence change characteristics using a multi-head attention mechanism to obtain attention fusion features.

[0084] S60. Input the attention fusion features into a pre-trained Portunus trituberculatus release and proliferation effect evaluation model to obtain a Portunus trituberculatus release and proliferation effect evaluation result.

[0085] In the present application, before releasing, the habitat suitability index of Portunus trituberculatus in the target area, the current ecological capacity of Portunus trituberculatus, and the growth characteristics of Portunus trituberculatus of the wild population in the target area are obtained; the releasing quantity, releasing time and releasing size are determined based on the habitat suitability index, the current ecological capacity and the growth characteristics; after releasing, based on the growth cycle of the Portunus trituberculatus, the body size parameter characteristic sequence corresponding to multiple preset growth nodes, the habitat suitability index sequence, and the ecological capacity sequence are dynamically obtained; the body size parameter characteristic sequence, the habitat suitability index sequence, and the ecological capacity sequence are input into a multi-branch time sequence feature extraction network to extract body size parameter time sequence change characteristics, habitat suitability index time sequence change characteristics and ecological capacity time sequence change characteristics respectively; the body size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics and the ecological capacity time sequence change characteristics are fused by using a multi-head attention mechanism to obtain attention fusion features; the attention fusion features are input into a pre-trained Portunus trituberculatus releasing and breeding effect evaluation model to obtain a Portunus trituberculatus releasing and breeding effect evaluation result; after releasing, the releasing and breeding effect of Portunus trituberculatus is evaluated by dynamically obtaining the growth state of Portunus trituberculatus, the influence on the environment, and the ecological capacity and other information, and the growth process is evaluated to obtain various parameters of the growth process of Portunus trituberculatus after releasing, so as to provide reference data for the subsequent releasing and breeding process, and the releasing and breeding growth process data of Portunus trituberculatus can be refined. Based on the parameter sequence of the growth process of Portunus trituberculatus after releasing, the growth process change characteristics and the cumulative change characteristics of Portunus trituberculatus are constructed, and the whole process of the releasing and breeding of Portunus trituberculatus can be accurately and dynamically evaluated more accurately.

[0086] In an embodiment, the Portunus trituberculatus releasing and breeding effect evaluation model can adopt a maximum entropy model to evaluate the contribution rate of the habitat suitability index time sequence change characteristics and the ecological capacity time sequence change characteristics to the body size parameter time sequence change characteristics during the growth cycle of Portunus trituberculatus. Wherein,

[0087] In the maximum entropy model, the measurement of the body size parameter time sequence change characteristics on the random variables of the habitat suitability index time sequence change characteristics and the ecological capacity time sequence change characteristics can be defined as the entropy value H(X), the habitat suitability index time sequence change characteristics is defined as one of the first random variables Pi, and the ecological capacity time sequence change characteristics is defined as the second random variable Qi;

[0088] Therefore, the entropy value H(X) of the body size parameter time sequence change characteristics is represented as:

[0089]

[0090] wherein i is the ith preset growth node, n is the total number of growth nodes, Pi is the habitat suitability index time series variation characteristic of the ith preset growth node, and Qi is the ecological capacity time series variation characteristic of the ith preset growth node. The contribution rate of the habitat suitability index time series variation characteristic and the ecological capacity time series variation characteristic to the body size parameter time series variation characteristic is evaluated by maximizing H(X).

[0091] In another embodiment, each branch in the branch time sequence feature extraction network can also employ a Gated Recurrent Unit (GRU) to extract the body size parameter time series variation characteristic, the time cumulative variation characteristic of the habitat suitability index time series variation characteristic and the ecological capacity time series variation characteristic in time, so as to capture the relevance of the body size parameter time series variation characteristic, the habitat suitability index time series variation characteristic and the ecological capacity time series variation characteristic in time accumulation, and meanwhile capture the dependency of the body size parameter time series variation characteristic, the habitat suitability index time series variation characteristic and the ecological capacity time series variation characteristic in time accumulation.

[0092] In this embodiment, the GRU has an update gate and a reset gate, the gating unit can control the flow of information and determine which information should be passed and which information should be discarded, and the gating unit can adjust the interaction between the input data and the previous hidden state; by using the gating unit, the GRU can effectively pass and update information between different time steps, better capture the cumulative effect of the body size parameter feature sequence, the habitat suitability index sequence and the ecological capacity sequence in time, that is, capture the cumulative variation characteristic of the plurality of body size parameter features, the habitat suitability index and the ecological capacity in time under mutual coupling, and further better capture the relevance in the sequence and meanwhile capture various dependency relationships within each feature sequence.

[0093] In this embodiment, when capturing the correlation and / or dependency relationship between the time accumulation of the body size parameter time series feature, the habitat suitability index time series feature and the ecological capacity time series feature, the weight matrix of each branch time series feature extraction network can be shared, that is, the weight matrix of the GRU unit of different branches is shared, all feature sequences are forced to map to the same hidden space, comparability is established, that is, the body size parameter time series feature, the habitat suitability index time series feature and the ecological capacity time series feature are mapped to the same hidden space. At the same time, the three groups of feature sequences are time stamped and aligned; each GRU branch synchronously processes the corresponding features at each time step, and the time sequence position coding information is retained, and then the cross-modal correlation pattern is automatically learned through back propagation, the cross-modal time sequence correlation is implicitly established through the synchronous update of the hidden state of the three GRU branches, and the correlation and / or dependency relationship between the body size parameter time series feature, the habitat suitability index time series feature and the ecological capacity time series feature in the time accumulation is captured.

[0094] The correlation and dependency relationship can be reflected in the extracted body size parameter time series feature, habitat suitability index time series feature and ecological capacity time series feature, and then in the subsequent attention mechanism fusion, the correlation and dependency between different features can be indirectly learned through the attention mechanism, and the correlation and / or dependency relationship between different features can be reflected in the attention fusion feature.

[0095] In one embodiment, the body size parameter time series feature, the habitat suitability index time series feature and the ecological capacity time series feature are fused by using the multi-head attention mechanism to obtain an attention fusion feature, including:

[0096] A body size parameter attention matrix, a habitat suitability index attention matrix and an ecological capacity attention matrix are constructed based on a preset corresponding relationship between the body size parameter, the habitat suitability index and the ecological capacity and the release and proliferation contribution rate, respectively;

[0097] The body size parameter time series feature, the habitat suitability index time series feature and the ecological capacity time series feature are respectively calculated by dot product with the corresponding attention matrix to obtain the attention weight of the body size parameter time series feature, the habitat suitability index time series feature and the ecological capacity time series feature, respectively;

[0098] The body size parameter time series feature, the habitat suitability index time series feature and the ecological capacity time series feature are fused based on the attention weight to obtain the attention fusion feature.

[0099] In the embodiment, the preset correspondence between the body size parameter, the habitat suitability index, the ecological capacity and the release and breeding contribution rate is taken as a head of the multi-head attention mechanism, a linear transformation matrix of queries (Q), keys (K) and values (V) can be created for each head, for each head, the input features are multiplied by the corresponding Q and K matrices respectively, the dot product is calculated and scaled. The scaled result is normalized by the softmax function to obtain the attention score. The attention score is multiplied by the corresponding V value and summed to obtain the output features of each head. The output features of the three heads can be connected or combined in some way.

[0100] In an embodiment, after release, the growth of the three-spot swimming crab has a dynamic impact on the food web of the target area. Therefore, in the embodiment, the dynamic change characteristics of the food web of the target area after release are dynamically obtained to further adjust the release and breeding effect.

[0101] Specifically, a first food web feature of the target area after release is obtained, taking the three-spot swimming crab as a base point; the first food web feature is a food web change feature sequence obtained based on the preset growth node; the food web change feature sequence is input into the multi-branch time sequence feature extraction network to extract the food web time sequence change feature in the first food web feature; the body size parameter time sequence change feature, the habitat suitability index time sequence change feature, the food web time sequence change feature and the ecological capacity time sequence change feature are fused by the multi-head attention mechanism to obtain the attention fusion feature. In the embodiment, the change of the food web of the target area after release is often accumulated based on the growth of the three-spot swimming crab. Therefore, in the embodiment, after collecting the dynamic change characteristics of the food web according to the preset growth node, the corresponding time sequence feature is constructed, and the GRU layer is used to extract the food web cumulative change feature. This not only can better capture the relevance in the sequence, but also can capture various dependency relationships within each feature sequence, thereby more accurately evaluating the release and breeding effect.

[0102] In another embodiment, the food web structure in the target area has a great influence on the growth and population of the three-spot swimming crab. Therefore, in the embodiment, a second food web feature of the target area is obtained, taking the three-spot swimming crab as a base point; the release quantity, release time and release size of the three-spot swimming crab are adjusted based on the second food web feature. The second food web feature can reflect the direct or indirect influence of the three-spot swimming crab population on other functional groups and quantify the influence degree, and then the release quantity and release size of the three-spot swimming crab are adjusted based on the influence.

[0103] In the embodiment, the enemy, food competitor and main prey of Portunus trituberculatus in the target area can be determined based on Portunus trituberculatus, and the releasing quantity of Portunus trituberculatus determined according to the habitat suitability index and the current ecological capacity of Portunus trituberculatus, and the influence value of the releasing size of Portunus trituberculatus determined according to the habitat suitability index, the current ecological capacity and the growth characteristics on the enemy, food competitor and main prey are quantitatively analyzed. For example, the increase of the biomass of Portunus trituberculatus has positive influence on Ariosoma retroversum and other upper-middle layer fishes, and the influence values are determined according to the releasing quantity and the releasing size, has negative influence on other bottom layer fishes and other fishes such as Pseudosciaena heterura, and the influence values are determined according to the releasing quantity and the releasing size. After the influence values are obtained, the releasing quantity and the releasing size are adjusted until the influence values are within a preset range, and the final releasing quantity and the final releasing size are obtained.

[0104] In an embodiment, after each releasing, the propagation effect of the current releasing is evaluated, and the releasing strategy of the next releasing is adjusted based on the evaluation result, so that the releasing strategy of Portunus trituberculatus is more and more reasonable through the way of cyclic adjustment. In the embodiment, the releasing quantity, the releasing time and the releasing size are evaluated based on the evaluation result of the propagation effect, and one-to-one confidence scores are obtained. The releasing quantity, the releasing time and the releasing size of the next releasing are adjusted based on the confidence scores as adjustment coefficients, so that the releasing strategy of the next releasing in the target area can be more reasonably determined.

[0105] As shown in Figure 2 The embodiment of the application further provides a device for evaluating the propagation effect of Portunus trituberculatus releasing, which comprises:

[0106] A first obtaining module 201 is configured to obtain the habitat suitability index of Portunus trituberculatus in a target area and the current ecological capacity of Portunus trituberculatus before releasing.

[0107] A first evaluation module 202 is configured to determine the releasing quantity of Portunus trituberculatus based on the habitat suitability index and the current ecological capacity.

[0108] A second obtaining module 203 is configured to obtain the growth characteristics of wild Portunus trituberculatus in the target area.

[0109] An extraction module 204 is configured to determine the releasing time and the releasing size based on the habitat suitability index, the current ecological capacity and the growth characteristics.

[0110] A fusion module 205 is configured to dynamically obtain the body size parameter feature sequence corresponding to a preset growth node, the habitat suitability index sequence and the ecological capacity sequence of Portunus trituberculatus based on the growth cycle of Portunus trituberculatus after releasing.

[0111] The second evaluation module 206 is configured to evaluate the release propagation effect of the M. lenticulata based on the body shape parameter feature sequence, the habitat suitability index sequence and the ecological capacity sequence.

[0112] Figure 3 An optional electronic device according to an embodiment of the present application is shown in a structural block diagram as Figure 3 The electronic device includes a processor 301, a communication interface 302, a memory 303 and a communication bus 304. The processor 301, the communication interface 302 and the memory 303 communicate with each other through the communication bus 304. The processor 301 is configured to execute a computer program stored in the memory 303.

[0113] The memory 303 is configured to store the computer program.

[0114] The processor 301 is configured to execute the computer program stored in the memory 303 to implement the following steps.

[0115] Before the release, the habitat suitability index of the M. lenticulata in the target area, the current ecological capacity of the M. lenticulata and the growth characteristics of the M. lenticulata in the wild population of the target area are obtained.

[0116] Based on the habitat suitability index, the current ecological capacity and the growth characteristics, the release quantity, the release time and the release size are determined.

[0117] After the release, based on the growth cycle of the M. lenticulata, the body shape parameter feature sequence, the habitat suitability index sequence and the ecological capacity sequence corresponding to a plurality of preset growth nodes are dynamically obtained.

[0118] The body shape parameter feature sequence, the habitat suitability index sequence and the ecological capacity sequence are input into a multi-branch time sequence feature extraction network to respectively extract body shape parameter time sequence change features, habitat suitability index time sequence change features and ecological capacity time sequence change features.

[0119] The body shape parameter time sequence change features, the habitat suitability index time sequence change features and the ecological capacity time sequence change features are fused by using a multi-head attention mechanism to obtain attention fusion features.

[0120] The attention fusion features are input into a pre-trained M. lenticulata release propagation effect evaluation model to obtain an M. lenticulata release propagation effect evaluation result. 。

[0121] Optionally, in the embodiment, the communication bus described above can be a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus can be divided into an address bus, a data bus, a control bus, and the like. For the convenience of representation, Figure 3 In the figure, only one thick line is used to represent the bus, but it does not mean that there is only one bus or only one type of bus.

[0122] The communication interface is used for communication between the electronic device and other devices.

[0123] The memory can include a RAM, and can also include a non-volatile memory, for example, at least one disk memory. Optionally, the memory can also be at least one storage device located away from the aforementioned processor.

[0124] The processor described above can be a general-purpose processor, which can include but is not limited to: a CPU (Central Processing Unit), an NP (Network Processor), and the like; and can also be a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component.

[0125] Optionally, the specific examples in the embodiment can refer to the examples described in the above-described embodiments, and the embodiment will not be described here.

[0126] Those of ordinary skill in the art can understand that, Figure 3 The structure shown is only schematic, and the device for implementing the three-tailed swimming crab release and proliferation effect evaluation method can be a terminal device, which can be a smart phone (such as an Android phone, an iOS phone, and the like), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, and the like. Figure 3 It does not limit the structure of the electronic device described above. For example, the terminal device can further include more or less components (such as a network interface, a display device, and the like) than Figure 3 In the figure, only one thick line is used to represent the bus, but it does not mean that there is only one bus or only one type of bus. Figure 3Different configurations are shown.

[0127] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the terminal device related hardware through a program, and the program can be stored in a computer readable storage medium, which can include a flash disk, a ROM, a RAM, a magnetic disk or an optical disk, etc.

[0128] According to another aspect of the embodiments of the present application, a storage medium is also provided. Optionally, in the present embodiment, the above-mentioned storage medium can be used to execute the program code of the evaluation method for the release and breeding effect of Portunus trituberculatus.

[0129] Optionally, in the present embodiment, the above-mentioned storage medium can be located on at least one of the plurality of network devices in the network shown in the above-mentioned embodiments.

[0130] Optionally, in the present embodiment, the storage medium is configured to store program code for executing the following steps:

[0131] Before the release, obtaining a habitat suitability index of Portunus trituberculatus in a target area, a current ecological capacity of Portunus trituberculatus, and growth characteristics of Portunus trituberculatus of a wild population in the target area;

[0132] Determining a release quantity, a release time and a release size based on the habitat suitability index, the current ecological capacity and the growth characteristics;

[0133] After the release, based on a growth cycle of the Portunus trituberculatus, dynamically obtaining a body size parameter feature sequence, a habitat suitability index sequence and an ecological capacity sequence corresponding to a plurality of preset growth nodes;

[0134] Inputting the body size parameter feature sequence, the habitat suitability index sequence and the ecological capacity sequence into a multi-branch time sequence feature extraction network to respectively extract a body size parameter time sequence change feature, a habitat suitability index time sequence change feature and an ecological capacity time sequence change feature;

[0135] Using a multi-head attention mechanism to fuse the body size parameter time sequence change feature, the habitat suitability index time sequence change feature and the ecological capacity time sequence change feature to obtain an attention fusion feature;

[0136] Inputting the attention fusion feature into a pre-trained evaluation model for the release and breeding effect of Portunus trituberculatus to obtain an evaluation result for the release and breeding effect of Portunus trituberculatus.

[0137] Optionally, specific examples in the present embodiment can refer to the examples described in the above-mentioned embodiments, and the present embodiment will not be described here.

[0138] Optionally, in the embodiment, the storage medium can include, but is not limited to, a U disk, a ROM, a RAM, a mobile hard disk, a magnetic disk or an optical disk, and various storage program codes.

[0139] The serial numbers of the embodiments of the present application are only for description, and do not represent the advantages or disadvantages of the embodiments.

[0140] The integrated units in the above embodiments, if realized in the form of software function units and sold or used as independent products, can be stored in the above computer-readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or the whole or part of the technical solutions can be embodied in the form of software products. The computer software product is stored in a storage medium, and includes a plurality of instructions for causing one or more computer devices (which can be personal computers, servers or network devices, etc.) to execute all or part of the steps of the methods described in the embodiments of the present application.

[0141] In the above embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0142] In the several embodiments provided by the present application, it should be understood that the disclosed client can be implemented in other ways. Of course, the above device embodiment is only illustrative, for example, the division of the units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, unit or module, and can be electrical or other forms.

[0143] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place or distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the scheme provided in the embodiments.

[0144] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit.

[0145] The places not mentioned in the present application can be realized by using or referring to the existing technology.

[0146] The various embodiments in the specification are described in progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the difference from other embodiments.

[0147] The above only describes the embodiments of the present application and is not intended to limit the present application. The present application can have various changes and modifications for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the scope of claims of the present application.

Claims

1. A method for evaluating the release and proliferation effect of Portunus trituberculatus, characterized in that, The method comprises the following steps: Before releasing, obtaining the habitat suitability index of Portunus trituberculatus in the target area, the current ecological capacity of Portunus trituberculatus, and the growth characteristics of Portunus trituberculatus in the wild population of the target area; Based on the habitat suitability index, the current ecological capacity and the growth characteristics, the release quantity, the release time and the release size are determined; After releasing, based on the growth cycle of the Portunus trituberculatus, the body size parameter characteristics sequence corresponding to a plurality of preset growth nodes, the habitat suitability index sequence, and the ecological capacity sequence are dynamically obtained; The body size parameter characteristics sequence, the habitat suitability index sequence, and the ecological capacity sequence are input into a multi-branch time sequence feature extraction network to extract the body size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics, and the ecological capacity time sequence change characteristics, respectively; The body size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics, and the ecological capacity time sequence change characteristics are fused by using a multi-head attention mechanism to obtain attention fusion features; The attention fusion features are input into a pre-trained Portunus trituberculatus release and proliferation effect evaluation model to obtain a Portunus trituberculatus release and proliferation effect evaluation result.

2. The method for evaluating the release and propagation effect of *Portunus trituberculatus* as described in claim 1, characterized in that, The method for fusing the body size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics, and the ecological capacity time sequence change characteristics by using the multi-head attention mechanism to obtain the attention fusion features comprises: Based on a preset corresponding relationship between the body size parameter, the habitat suitability index, the ecological capacity and the release and proliferation contribution rate, a body size parameter attention matrix, a habitat suitability index attention matrix and an ecological capacity attention matrix are constructed, respectively; The body size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics, and the ecological capacity time sequence change characteristics are respectively multiplied with the corresponding attention matrix to obtain the attention weights of the body size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics, and the ecological capacity time sequence change characteristics, respectively; The body size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics, and the ecological capacity time sequence change characteristics are fused based on the attention weights to obtain the attention fusion features.

3. The method for evaluating the release and propagation effect of *Portunus trituberculatus* as described in claim 1, characterized in that, The method further comprises the following steps: After releasing, a first food web feature of Portunus trituberculatus in the target area is obtained; The first food web feature is a food web change feature sequence obtained based on the preset growth nodes; The food web change feature sequence is input into the multi-branch time sequence feature extraction network to extract food web time sequence change characteristics in the first food web feature; The body size parameter time sequence change characteristics, the habitat suitability index time sequence change characteristics, the food web time sequence change characteristics, and the ecological capacity time sequence change characteristics are fused by using a multi-head attention mechanism to obtain the attention fusion features.

4. The method for evaluating the release and propagation effect of *Portunus trituberculatus* as described in claim 1, characterized in that, The method for determining the release quantity, the release time and the release size of Portunus trituberculatus based on the habitat suitability index and the current ecological capacity comprises the following steps: determine a releasing quantity of the mitten crab based on the habitat suitability index and the current ecological capacity; determine a releasing time and a releasing size based on the habitat suitability index, the current ecological capacity and the growth characteristics.

5. The method for evaluating the release and propagation effect of *Portunus trituberculatus* as described in claim 1, characterized in that, Further comprising: acquire a second food web feature of the target area based on the mitten crab; adjust the releasing quantity, the releasing time and the releasing size of the mitten crab based on the second food web feature.

6. The method for evaluating the release and propagation effect of *Portunus trituberculatus* as described in claim 1, characterized in that, After obtaining the releasing proliferation effect evaluation result, further comprising: evaluate the releasing quantity, the releasing time and the releasing size respectively based on the proliferation effect evaluation result, to obtain a one-to-one corresponding confidence score; use the confidence score as an adjustment coefficient of the releasing quantity, the releasing time and the releasing size for the next time.

7. The method for evaluating the release and propagation effect of *Portunus trituberculatus* as described in claim 1, characterized in that, After releasing, based on the growth cycle of the mitten crab, dynamically acquire a body size parameter feature sequence, a habitat suitability index sequence and an ecological capacity sequence corresponding to a preset growth node, comprising: determine the growth cycle through historical fishing data or bottom trawl survey data; based on the growth cycle and a preset body size parameter interval, divide a preset growth node, which is a time node corresponding to when the body size parameter reaches a preset body size parameter; investigate and sample the mitten crab in the target area according to the preset growth node, collect body size parameter features, habitat suitability indexes and ecological capacities under each preset growth node respectively, and construct the body size parameter feature sequence, the habitat suitability index sequence and the ecological capacity sequence respectively.

8. A device for evaluating the release and proliferation effect of Portunus trituberculatus, characterized in that, comprising: a first acquisition module, before releasing, acquire a habitat suitability index of the mitten crab in a target area, a current ecological capacity of the mitten crab and growth characteristics of the mitten crab of a wild population in the target area; a first evaluation module, based on the habitat suitability index, the current ecological capacity and the growth characteristics, determine a releasing quantity, a releasing time and a releasing size; a second acquisition module, after releasing, based on a growth cycle of the mitten crab, dynamically acquire a body size parameter feature sequence, a habitat suitability index sequence and an ecological capacity sequence corresponding to a plurality of preset growth nodes; an extraction module, configured to input the body size parameter feature sequence, the habitat suitability index sequence and the ecological capacity sequence into a multi-branch time sequence feature extraction network, and extract a body size parameter time sequence change feature, a habitat suitability index time sequence change feature and an ecological capacity time sequence change feature respectively; a fusion module, configured to fuse the body size parameter time sequence change feature, the habitat suitability index time sequence change feature and the ecological capacity time sequence change feature using a multi-head attention mechanism, to obtain an attention fusion feature; a second evaluation module, configured to input the attention fusion feature into a pre-trained mitten crab releasing proliferation effect evaluation model, to obtain a mitten crab releasing proliferation effect evaluation result.

9. A computer readable storage medium storing a computer program, characterized in that, The computer program, when executed by a processor, implements the mitten crab releasing proliferation effect evaluation method of any one of claims 1 to 7.

10. An electronic device, comprising: The method comprises one or more processors, one or more memories, and one or more computer program instructions, and the computer program instructions are executed by the processor to implement the method for evaluating the release and breeding effect of Portunus trituberculatus according to any one of claims 1 to 7.

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