Fish, shrimp and holothurian culture decision making system and device based on joint drive of data and knowledge
A decision-making system and ginseng breeding technology, applied in the field of fish and shrimp ginseng breeding decision-making systems and devices, can solve the problems of low nutritional value of aquaculture organisms, low activity, and damage to the interests of farmers, and achieve strong model interpretability and operation The effect of strong and accurate animal development information
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Embodiment 1
[0032] A fish, shrimp and ginseng breeding decision system driven by both data and knowledge, as shown in the attached figure 1 As shown, it includes a database, a model building subsystem, a parameter acquisition subsystem, a breeding decision-making subsystem, and an information control subsystem. The database is preset with genetic factors, normal development information, historical breeding data, and auxiliary decision-making association tables. The genetic factor is the genetic index of the cultured organisms, and the genetic factors of different cultured organisms are different. Normal development information refers to the development process information of farmed organisms under normal circumstances. Breeding organisms can be aquatic products such as fish, shrimp, ginseng, etc., and can also be livestock such as pigs, chickens, and ducks. In this embodiment, for the convenience of explanation, the farming organisms are defined as carp, that is, the genetic factors are t...
Embodiment 2
[0050] The difference between this embodiment and the first embodiment lies in: the construction of the animal growth model and the use of the animal growth model to generate animal development information.
[0051] The model building module is used to establish a KDDM model based on a composite coupling method (a model driven by data and knowledge), and the KDDM module is used to generate production potential according to the input impact factors, and output animal development information according to the production potential.
[0052] The model training module is used to obtain historical breeding data from the database one by one as the training set to train the KDDM model. After the training is completed, the animal growth model (that is, the animal growth model driven by data and knowledge) is obtained. The animal growth model can be based on the input Impact Factor outputs animal development information and stores animal growth models in the database.
[0053] The model ...
Embodiment 3
[0055] In the process of fish eating, there may be a situation where the fish eats too little food, which leads to the slow growth of the fish, or it may happen that the fish eats too much food, which causes the fish to grow too fast. If the fish grows too slowly, the economic benefits will also be reduced. If the fish grows too fast, the meat quality will be poor, which will also lead to a low value of a single product, which will affect the overall economic benefits. Therefore, during the breeding process, this should be avoided. Two situations.
[0056] The difference between this embodiment and Embodiment 1 or Embodiment 2 lies in that the fish, shrimp and ginseng breeding decision-making system driven by data and knowledge also includes a feeding control subsystem and a water flow control device.
[0057] The feeding duration calculation module is used to send the feeding duration to the feeding control subsystem.
[0058] Feed control subsystem, including:
[0059] The...
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