Self-service diagnosis method for diseases of laying hens and system development method for self-service diagnosis of diseases of laying hens

Abstract

The invention relates to a self-service diagnosis method for diseases of laying hens. The self-service diagnosis method comprises the following steps: collecting symptoms of the diseases that the laying hens suffer from, and classifying the symptoms of the diseases into three classes according to different classification logics; marking symptoms that each disease relates to, and dividing the symptoms that each disease relates to into five levels according to the influence degree of each symptom on the corresponding disease; randomly extracting 5 to 7 different symptoms from all levels of symptoms for combination; judging the morbidity probability under all symptom combinations corresponding to each disease; inputting all the obtained symptom combinations, corresponding disease types and the morbidity probabilities into a computer, and carrying out learning by the computer; and comparing the symptoms input by a hen raising user with a standard database, and outputting diseases that thecorresponding laying hens possibly suffer from and morbidity probabilities by the computer. The self-service diagnosis method well solves the occurrence probability of the same symptom for different diseases, exerts a very good prevention and judgment effect is on occurrence and judgment of clinical diseases, and reduces manual judgment errors.

Description

technical field [0001] The invention relates to the technical field of laying hen disease diagnosis automation, in particular to a self-diagnosis method for laying hen diseases and a system development method thereof. Background technique [0002] At present, laying hen farming is mostly carried out through veterinary consultations. This method relies on purely manual methods to solve the problems of farmers. With the increase of households, the way of sit-in consultation is no longer able to quickly solve the problems of farmers. Moreover, there are the following disadvantages at the same time: [0003] 1. It needs to answer questions efficiently for 6 to 8 hours in a row during the day, and it is difficult to guarantee timely solutions to problems that arise at night. [0004] 2. The number of experienced experts is limited, and their professional resources cannot be fully utilized. [0005] 3. It takes a lot of time to organize the data in the later stage. [0006] Th...

AI Technical Summary

Problems solved by technology

[0003] 1. It needs to answer questions efficiently for 6 to 8 hours in a row during the day, and it is difficult to guarantee timely solutions to problems that arise at night

[0004] 2. The number of experienced experts is limited, and their professional resources cannot be fully utilized

[0005] 3. It takes a lot of time to organize the data in the later stage

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