Grain Mildew Prediction Method and Device
A forecasting method and grain technology, applied in the field of neural network, can solve the problems of consuming a lot of manpower and material resources, unfavorable food storage safety, etc.
Active Publication Date: 2021-04-23
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology
The inventors have found through research on the existing grain mildew detection methods that the existing grain mold detection methods need to consume a lot of manpower and material resources from bacterial culture to fungal observation, which is not conducive to ensuring the safety of stored grain
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[0067] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0068] The invention is applicable to numerous general purpose or special purpose computing device environments or configurations. For example: personal computer, server computer, handheld or portable device, tablet type device, multiprocessor device, distributed computing environment including any of the above devices or devices, etc.
[0069] The embodiment of the present invention provides a method for predicting grain mildew, which can be applied to variou...
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The present invention relates to the field of neural networks, in particular to a method and device for predicting grain mildew. The method includes: obtaining storage information of target grain species; performing data preprocessing on the storage information to obtain the target corresponding to the storage information Multidimensional data: input the target multidimensional data corresponding to the storage information into a pre-built grain mildew probability prediction model, and output the mildew probability of the target grain species after being processed by the grain mildew probability prediction model, and the probability of no mildew; according to the probability of mildew and the probability of no mildew, the forecast result of mildew of the target grain type is obtained. In the grain mildew prediction method provided by the present invention, according to the mildew probability and non-mildew probability corresponding to the current environment output by the grain mildew probability prediction model, it is possible to quickly make a prediction on the mildew of grain storage under the current environment , avoiding complicated steps such as bacterial culture and fungal observation, saving a lot of manpower and material resources.
Description
technical field [0001] The invention relates to the field of neural networks, in particular to a grain mildew prediction method and device. Background technique [0002] my country is a large agricultural country, with a long history of grain production and storage. The annual grain output exceeds 500 million tons. Grain storage is the continuation of agricultural cultivation, and storage technology develops along with the development of agriculture. After entering the new era, with the development of agriculture, agricultural production has formed a certain scale, and grain surplus has gradually developed from grain processing to grain storage, and grain mildew is an important factor affecting the safety of grain storage. [0003] The existing detection method for detecting grain mold is that in the early stage of mold growth, complex bacterial culture is carried out on the mold, fungi are observed, and the safety of stored grain is judged by the number of observed fungal s...
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IPC IPC(8): G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02
Inventor 张和平邓玉睿周勇程旭东
Owner UNIV OF SCI & TECH OF CHINA