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Sorghum yield prediction method based on sensor joint monitoring

A yield prediction and sensor technology, applied in the agricultural field, can solve problems such as low actual efficiency, and achieve the effect of reasonable structure and accurate prediction effect.

Pending Publication Date: 2019-05-21
SHIJIAZHUANG UNIVERSITY +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0010] It can be seen that the actual yield of sorghum is related to its planting environment and actual fertilization control. The traditional pre-production mostly adopts the method of local sampling, and the overall prediction is made through partial harvesting, but the overall actual efficiency is low

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  • Sorghum yield prediction method based on sensor joint monitoring
  • Sorghum yield prediction method based on sensor joint monitoring
  • Sorghum yield prediction method based on sensor joint monitoring

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Embodiment Construction

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. 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.

[0026] In an embodiment of the present invention, a sorghum yield prediction method based on sensor joint monitoring includes obtaining the growth of sorghum according to the meteorological data and corresponding time information within the statistical period; inputting the obtained sorghum growth data into the prediction system for Mathematical simulation prediction of yield.

[0027] Meteorological data include maximum temperature, minimum temperature, sunshine time, light intensity and precipitation.

[0028] The meteorological ...

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Abstract

The invention discloses a sorghum yield prediction method based on sensor joint monitoring. The sorghum yield prediction method comprises the following steps: obtaining growth of sorghum according tometeorological data in a statistical period and corresponding time information; Inputting the obtained sorghum growth data into a prediction system to carry out yield mathematical simulation prediction. The device is reasonable in structure, and is based on a multi-sensor based system, the planting condition can be obtained in real time. Overall data acquisition is diverse, including highest temperature, minimum temperature, sunlight time, illumination intensity and precipitation, and pH value data, humidity data and microbial colony distribution data of soil are included, various external variables in sorghum planting are included integrally, the yield of the current year can be well predicted according to the yield of the last year, and the overall prediction effect is accurate.

Description

technical field [0001] The invention relates to the field of agriculture, in particular to a method for predicting sorghum yield based on sensor joint monitoring. Background technique [0002] Sorghum is the second largest agricultural product in Sino-US trade volume after soybeans. In 2017, China's demand for sorghum was 8.9 million tons, of which 5.06 million tons came from imports. Among them, 94% of the import volume comes from the United States, and the trade volume is about 957 million yuan. Traditional sorghum planting methods mainly include: [0003] 1. Land selection: Sorghum has a well-developed root system and strong water absorption and fertility. It is advisable to choose flat, loose and more fertile land for planting. Because of its characteristics of drought resistance, waterlogging, saline-alkali, and barrenness, low-lying land that is prone to waterlogging or barren and dry saline-alkali land It can also be planted, and the requirements for the previous st...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G01W1/02G01N33/24
CPCY02A90/10
Inventor 温喆吕芃姚振伟成新霞赵光灿李红娟段丽英董倩李燕金庆勇王慧娟王丽娜祁瑞丽范亚斌陈旭董伟
Owner SHIJIAZHUANG UNIVERSITY
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