Data-driven puffer disease monitoring, early warning and self-service diagnosis decision support system

Abstract

The invention discloses a data-driven puffer disease monitoring, early warning and self-service diagnosis decision support system which comprises the steps of: 1, collection and integration of variousdata, 2, combing and representation of rules, experience or knowledge, and 3, early warning, diagnosis and decision support based on the rules, the experience or the knowledge. The system solves thedisadvantage of the existing puffer disease diagnosis technology; the data-driven method and a procedure achieving semi-automatic diagnosis of a puffer disease are provided; characteristic and basic diagnosis informatization management level of the puffer disease is raised; self-service diagnosis ability of the puffer disease is improved; and the monitoring, early warning and self-service diagnosis decision support system can effectively improve culture efficiency in large-scale culture.

Description

technical field [0001] The invention relates to the fields of fish farming and information technology, in particular to a data-driven puffer fish disease monitoring, early warning and self-diagnosis auxiliary decision support system. Background technique [0002] In the current process of puffer fish farming, when puffer puffer diseases occur, inspectors with rich experience in diagnosing puffer fish diseases generally give the diagnosis results and issue a prescription for the diseased fish sent by the breeders combined with observation and instrument testing data. prescription. There are several problems in such a diagnosis process: first, it puts forward higher requirements for the inspectors, who not only must understand the detection techniques, but also are required to be puffer fish disease diagnosis experts. Second, puffer fish farming is currently mostly industrial and large-scale farming. The inspectors are responsible for inspecting a large number of fish, and th...

AI Technical Summary

Problems solved by technology

There are several problems in such a diagnosis process: First, it puts higher requirements on the inspectors. The inspectors must not only understand the detection techniques, but also be experts in puffer fish disease diagnosis.

The second is that most puffer fish farming is currently industrialized and large-scale farming. The inspectors are responsible for inspecting a large number of fish, and the types of diseases involved in each fish are also very complicated and diverse. It is difficult to achieve precise and specialized

The third is that the informatization level of this method is low, which is not conducive to the reuse of diagnostic experience, and it is not suitable to summarize and extract valuable experience and knowledge from historical diagnostic data.

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