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Crop disease and pest identification method and device based on incremental learning and storage medium

A technology of incremental learning and identification methods, applied to devices and storage media, in the field of identification methods for crop diseases and pests based on incremental learning, which can solve the problems of wrong new pest identification, pest removal operations that cannot really remove pests, etc., to prevent Significant interference, accurate identification results, and the effect of ensuring the growth environment

Inactive Publication Date: 2022-04-05
HKUST TIANGONG INTELLIGENT EQUIP TECH (TIANJIN) CO LTD
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Problems solved by technology

When there are new pests, the pest identification system will mistakenly identify the new pests as known types of pests, which may cause the removal of pests in the greenhouse system to be unable to truly eliminate such pests

Method used

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  • Crop disease and pest identification method and device based on incremental learning and storage medium
  • Crop disease and pest identification method and device based on incremental learning and storage medium

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Embodiment Construction

[0059] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, but not all of them. Based on the embodiments in the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present application.

[0060] For ease of understanding, a method for identifying crop diseases and pests based on incremental learning provided in the embodiments of the present application is described in detail below, see figure 1 , a method for identifying crop diseases and pests based on incremental learning, including the following steps:

[0061] Ste...

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Abstract

The invention relates to a crop disease and pest identification method and device based on incremental learning and a storage medium, and the method comprises the steps: obtaining the existing disease and pest image data which comprise the known disease and pest image data; preprocessing the known disease-like pest image data, and adding a first disease-like pest category label to the known disease-like pest image data to obtain a known disease-like pest sample set; taking the known disease and pest sample set as input, and training a neural network by using a cross entropy loss function to obtain a standard disease and pest image classification model; modifying a structure in the standard disease and pest image classification model by adopting an incremental learning algorithm, and modifying a total loss function in the incremental learning algorithm by adopting a dynamic parameter correction method to obtain an incremental disease and pest image classification model; and inputting the obtained new disease and pest image data into the incremental disease and pest image classification model for identification and classification. According to the method, new disease and pest categories can be accurately detected, and the identification result is more accurate.

Description

technical field [0001] The present application relates to the field of agricultural planting technology, in particular to a method, device and storage medium for identifying crop diseases and pests based on incremental learning. Background technique [0002] According to statistics, the world's food demand is increasing. At the same time, due to problems such as groundwater storage, extreme weather, and pest invasion, the intelligentization of greenhouse systems has become a vital technology. In today's smart greenhouse system, the identification and removal of crop pests is an indispensable link in ensuring the smooth growth of crops. Although the smart greenhouse system has the ability to identify some pests. However, the current pest identification technology in the greenhouse system mainly adopts a batch learning strategy, that is, the collected known pest data is used to train the pest identification model. It is impossible for the system to learn the information of a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/764G06V10/774G06K9/62G06N3/08G06N3/04
Inventor 张超张波万亚东
Owner HKUST TIANGONG INTELLIGENT EQUIP TECH (TIANJIN) CO LTD
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