Method and system for evaluating climate quality of rice region
A quality evaluation and rice technology, applied in the field of rice regional climate quality evaluation method and system, can solve the problems that cannot accurately, effectively and reliably reflect the impact of climate on rice quality, and achieve the effect of accurate evaluation
Active Publication Date: 2022-03-29
北京市农林科学院信息技术研究中心
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Problems solved by technology
[0003] In the existing rice climate quality evaluation methods, the annual accumulated temperature, annual total sunshine hours, annual accumulated rainfall or annual average temperature, annual average sunshine hours, and annual average rainfall are taken as the main climatic factors affecting rice quality, which cannot be accurately and accurately Effectively and reliably reflect the impact of climate on rice quality
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[0062] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0063] There are a large number of local characteristic rice, such as Yunnan Gongmi, Guangdong Luoding rice, Guangxi Xiangzhou red rice, etc. These local characteristic rice are deeply loved by consumers for their excellent quality. However, paying attention to the development of rice yield and ignoring the improvement of rice quality makes the quality of rice generally low. In recent years,...
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The invention provides a rice region climate quality assessment method and system, and the method comprises the steps: determining a training sample according to meteorological data modeling metadata and atmosphere data modeling metadata of key growth periods of various types of rice; inputting the training sample into an SVMR model for training to obtain an inversion model; inputting the meteorological data modeling metadata and the atmosphere data modeling metadata of the key growth period of the target type of rice into the inversion model so as to determine the amylose content and the protein content of the target type of rice; and evaluating the regional climate quality of the target type of rice according to the amylose content and the protein content of the target type of rice. According to the method, the meteorological data and the atmosphere data are combined, and the influence of various environmental factors on the rice quality is comprehensively considered, so that comprehensive and accurate evaluation on the climate quality of a large-area-scale rice area is realized, and guidance and suggestions are provided for rice production and planting.
Description
technical field [0001] The invention relates to the technical field of rice planting, in particular to a method and system for evaluating regional climate quality of rice. Background technique [0002] The quality of rice includes four aspects: processing quality, appearance quality, cooking and eating quality and nutritional quality. Studies have shown that the quality of rice is jointly affected by rice protein content and amylose content, and the protein content and amylose content of rice are jointly determined by genetic factors and environmental factors. Under the condition that the technical level of rice production has reached a certain height, in order to realize the requirements of high quality, high efficiency, ecology and safety of rice production, climatic factors, as the main factors affecting rice quality, are particularly important. Climatic quality certification refers to the grade evaluation of the influence of climate on the quality of agricultural produc...
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IPC IPC(8): G06Q10/06G06Q50/02G16B40/20G06N20/10
CPCG06Q10/06395G06Q50/02G16B40/20G06N20/10Y02A90/10
Inventor 宋晓宇明世康冯海宽杨贵军徐波李伟国孟炀
Owner 北京市农林科学院信息技术研究中心