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Intelligent control method and device for real-time variable fertilization of corn intertillage

An intelligent control and corn technology, which is applied in fertilization methods, fertilization devices, fertilizer distributors, etc., can solve the problems of cumbersome operation, poor real-time performance, time-consuming and labor-intensive, etc., and achieves low technical requirements, small workload and high degree of intelligence. Effect

Active Publication Date: 2019-07-23
HEILONGJIANG BAYI AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The intelligent control method of real-time variable fertilization aims to solve the problems of poor real-time performance, cumbersome operation, time-consuming and labor-intensive use of prescription map variable fertilization methods

Method used

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  • Intelligent control method and device for real-time variable fertilization of corn intertillage
  • Intelligent control method and device for real-time variable fertilization of corn intertillage
  • Intelligent control method and device for real-time variable fertilization of corn intertillage

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Experimental program
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Effect test

Embodiment 1

[0048] An intelligent control method for real-time variable fertilization of corn intertillage. The intelligent control method corrects the mean value of the NDVI spectral data in real time according to the NDVI spectral data of the corn canopy collected in real time through the intelligent algorithm of the learning function, and continuously adjusts and optimizes the growing condition based on the intertillage corn. The variable fertilization model includes the following steps:

[0049] The first step is to obtain the mean value before correction, and its calculation formula is as follows:

[0050]

[0051] Wherein: n is the number of detection corn canopy NDVI spectral data; Y (n) is the output value of NDVI spectral data mean value before this correction; X (n) is the sampling value of this NDVI spectral data; Y (n- 1) is the output value of the mean value of NDVI spectral data before the last correction;

[0052] The second step is to calculate the correction coefficient...

Embodiment 2

[0080] Taking 30 NDVI data as an example, when the 30th NDVI data is detected.

[0081] The first step is to find the mean value before correction, according to the formula Find Y(n)

[0082]

[0083] Y(30)=0.600166667

[0084] Therefore, the NDVI data of the 30th test corresponds to an average value of 0.600166667 before correction.

[0085] In the second step, the correction coefficient a is calculated according to the mean value before correction, and the 30 groups of NDVI data are subtracted from the mean value before correction (Xn-Yn) and summed. The calculation formula is seek a

[0086]

[0087] The third step is to correct the mean value according to the correction coefficient, according to the formula Find Y'(n)

[0088] Y'(30)=0.600166667+0.015850489

[0089] =0.616017155

[0090] In the fourth step, the amount of fertilization can be calculated directly according to the derivation formula (13), is the amount of fertilization per mu of cultivated l...

Embodiment 3

[0096] refer to figure 1 , a device for implementing an intelligent control method of real-time variable fertilization in corn cultivating, the device includes an NDVI spectrum sensor 1, a tractor 2, a vehicle-mounted intelligent terminal 3, a GPS receiver 4, a controller 5 and a fertilizer applicator 6; the NDVI spectrum The sensor 1 is installed on the front suspension beam of the tractor 2, the vehicle-mounted intelligent terminal 3 and the controller 5 are installed in the cab of the tractor 2, the GPS receiver 4 is installed on the top of the tractor 2, and the fertilizer spreader 6 is installed on the Tractor 2 tail; described NDVI spectrum sensor 1 and GPS receiver 4 are connected with vehicle-mounted intelligent terminal 3 by data line, and vehicle-mounted intelligent terminal 3 is connected with controller 5 by data line, and controller 5 is connected with fertilizer spreader 6 by data line.

[0097] The NDVI spectral sensor uses the Green Seeker 200 spectral sensor p...

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Abstract

The invention belongs to the technical field of agricultural production equipment, in particular to an intelligent control method and device for real-time variable fertilization of corn intertillage.The intelligent control method corrects the average value of NDVI spectral data in real time through an intelligent algorithm of a learning function according to real-time collected NDVI spectral dataof corn canopy, and continuously adjusts and optimizes a variable fertilization model based on the growth of intertilled corn. The method includes the following steps: 1. acquiring the average valuebefore correction; 2. acquiring a correction coefficient a according to the average value Y(n) before correction; 3. correcting the average value according to the correction coefficient, and calculating the fertilizing amount after correction; and 4. calculating the current NDVI spectral data and the real-time average value to obtain the deviation to determine the difference between the current detected maize plant growth and the overall growth. The intelligent control method solves the problems of poor real-time performance, complicated operation, time and labor consumption and the like of the variable fertilization mode of a prescription map, and solves the problems of low intelligence, large workload, complicated operation, high technical requirements and the like of the variable fertilization mode for real-time control.

Description

[0001] Technical field: [0002] The invention belongs to the technical field of agricultural production equipment, and in particular relates to an intelligent control method and device for real-time variable fertilization in corn intertillage. [0003] Background technique: [0004] The distribution of soil nutrients (including nitrogen content) in farmland plots is uneven and varied. If the average fertilization rate is applied evenly, the distribution of nitrogen content in farmland plots will be uneven, and the growth of corn in areas rich in nitrogen content is better. ; and in areas with insufficient nitrogen content, there is not enough nitrogen fertilizer supply, which affects the growth of corn, and the precision variable fertilization technology is derived from this. [0005] Precision agricultural variable fertilization technology relies on modern advanced scientific and technological equipment, and under the premise of fully grasping the field soil, crops and enviro...

Claims

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Application Information

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IPC IPC(8): A01C21/00A01C15/00
CPCA01C15/00A01C21/005
Inventor 王熙狄小冬王新忠庄卫东
Owner HEILONGJIANG BAYI AGRICULTURAL UNIVERSITY
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