Plant disease prescription recommendation based on electronic medical records and sentence embedding retrieval
Junqi Ding,
Yan Qiao,
Lingxian Zhang
Abstract:Background
In the era of Agri 4.0 and the popularity of Plantwise systems, the availability of Plant Electronic Medical Records has provided opportunities to extract valuable disease information and treatment knowledge. However, developing an effective prescription recommendation method based on these records presents unique challenges, such as inadequate labeling data, lack of structural and linguistic specifications, incorporation of new prescriptions, and consideration of multiple factors in… Show more
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