An optimization method of soybean production based on big data

An optimization method and big data technology, applied in data processing applications, instruments, forecasting, etc., to achieve scientific and reasonable soybean production methods and optimize production effects

Active Publication Date: 2018-12-28
AGRI INFORMATION INST OF CAS
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[0007] The purpose of the present invention is to provide a method for optimizing soybean production based o

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  • An optimization method of soybean production based on big data
  • An optimization method of soybean production based on big data
  • An optimization method of soybean production based on big data

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[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0029] The purpose of the present invention is to provide a method for optimizing soybean production based on big data that can solve the problem of overfitting caused by too few samples in the big data analysis process.

[0030] In order to make the above objectives, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompa...

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Abstract

The invention discloses an optimization method of soybean production based on big data. The method includes obtaining indexes that affect soybean material input, cost input and fertilizer input; removing multicollinearity indexes in the indexes and missing data indexes to obtain screening indexes; querying a corresponding index according to the screening index; multiplying each of the indexes by acolumn to obtain a relative change amount of each year relative to the first period; calculating an input amount related to prices, costs, expenses, profits and revenues based on the relative changeamount; the Lasso regression model being used to screen the index to obtain the compression index; the input unit yield of soybean varieties in the whole country being calculated according to the compression index; using a Lasso regression model to analyze the quantification of factors affecting soybean yield, which can optimize the production and obtain more scientific and reasonable production mode of soybean.

Description

technical field [0001] The invention relates to the field of agricultural production, in particular to a method for optimizing soybean production based on big data. Background technique [0002] With the rapid development of information technologies such as the Internet of Things, mobile Internet, and geographic information, agriculture is showing a trend of information explosion, and agriculture is stepping into the era of big data. The concept and technology of big data bring both opportunities and challenges. [0003] China is the world's largest agricultural producer. The resources behind the huge output are difficult to sustain, and the rough development model that relies too much on high material consumption and high input is unsustainable. There are 270 million agricultural employees in China, but the labor productivity is only 64% of the world's; the effective irrigation area is 63 million hectares, but the effective utilization coefficient of farmland irrigation wa...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02
CPCG06Q10/04G06Q10/06393G06Q50/02
Inventor 庄家煜许世卫李哲敏王禹
Owner AGRI INFORMATION INST OF CAS
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