System and method for remote diagnosis of livestock cultivation
A remote diagnosis and livestock technology, which is applied in the field of remote diagnosis of livestock breeding, can solve the problems that sick livestock cannot receive timely treatment, and achieve the effect of fine remote diagnosis
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Embodiment approach 1
[0047] Such as figure 1 and figure 2 As shown, in the first embodiment of the present invention, a remote diagnosis system for livestock breeding is disclosed. The remote diagnosis system for livestock breeding includes a language tagging device, a database of disease symptoms and solutions, an automatic diagnosis unit, diagnosis results and solutions The providing unit, wherein the language tagging unit is connected to the automatic diagnosis unit, the disease symptom database is connected to the automatic diagnosis unit and the diagnosis result and the solution providing unit, and the automatic diagnosis unit is also connected to the diagnosis result and the solution providing unit, wherein,
[0048] The language labeling device includes a language classifier and a label extractor, wherein the language classifier distinguishes the received consultation content into background language, symptom language and question language, and the label extractor extracts the background l...
Embodiment approach 2
[0070] Wherein, the disease symptom and program database stores the symptom probabilities of various diseases and the coping methods for each symptom in different subcategories according to the types of livestock and the background characteristics of livestock. Correspondingly, the automatic diagnosis unit Value selection determines the subcategory, and compares the symptom probabilities of various diseases in that subcategory using the symptom label and the symptom label value.
[0071] In addition, when the automatic diagnosis unit cannot select a certain subcategory through the background label and the background label value, it uses the symptom label and the symptom label value to compare with the symptom probabilities of various diseases in all subcategories to determine that each subcategory can Matching symptoms, and calculate the matching symptom probability sum of various diseases under each subcategory, and determine the matching symptom probability and the largest di...
Embodiment approach 3
[0077] The language classifier classifies the received consultation content into background language, symptom language and question language according to keywords, punctuation marks and numbers.
[0078] The label extractor stores multiple sets of background labels, symptom labels and question labels respectively, and each set of background labels, symptom labels or question labels includes more than one approximate term of the label,
[0079] The label extractor traverses the background language, matches all the approximate terms of each background label, determines the matching background label, and determines the background label value according to the context of the matching background label in the background language;
[0080] The label extractor traverses the symptom language, matches all the approximate terms of each symptom label, determines the symptom label that can be matched, and determines the symptom label value according to the context of the matching symptom lab...
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