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An intelligent control method and device for real-time variable fertilization in 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: 2021-02-23
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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  • An intelligent control method and device for real-time variable fertilization in corn intertillage
  • An intelligent control method and device for real-time variable fertilization in corn intertillage
  • An intelligent control method and device for real-time variable fertilization in corn intertillage

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Experimental program
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Effect test

Embodiment 1

[0043]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:

[0044] The first step is to obtain the mean value before correction, and its calculation formula is as follows:

[0045] (1)

[0046] in: For detecting the number of corn canopy NDVI spectral data; is the output value of the mean value of NDVI spectral data before this correction; is the sampling value of this NDVI spectral data; is the output value of the average value of NDVI spectral data before the last correction;

[0047] In the second step, according to the mean value before correct...

Embodiment 2

[0072] Taking 30 NDVI data as an example, when the 30th NDVI data is detected.

[0073] The first step is to find the mean value before correction, according to the formula ,beg

[0074]

[0075]

[0076] Therefore, the NDVI data of the 30th test corresponds to an average value of 0.600166667 before correction.

[0077] In the second step, the correction coefficient a is calculated according to the mean value before correction, and the 30 sets of NDVI data are subtracted from the mean value before correction (Xn-Yn) and then summed. The calculation formula is , seeking a

[0078]

[0079] The third step is to correct the mean value according to the correction coefficient, according to the formula ,beg

[0080]

[0081] 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 land, which is the amount given in advance, which is 10kg / hm 2 , th...

Embodiment 3

[0087] 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.

[0088] 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, and specifically relates to an intelligent control method and device for real-time variable fertilization of corn intertillage. The intelligent control method corrects the NDVI spectrum in real time according to the NDVI spectrum data of the corn canopy collected in real time and through the intelligent algorithm of the learning function The mean value of the data is constantly adjusted and optimized based on the variable fertilization model of intertillage corn growth. 1. Obtain the mean value before correction; 2. Calculate the correction coefficient a according to the mean value Y(n) before correction; 3. Correct the mean value according to the correction coefficient, and calculate the fertilization amount after correction; 4. The current NDVI spectral data and real-time The deviation is obtained by the mean calculation, and the difference between the currently detected corn plant growth and the overall growth is determined. The intelligent control method solves the problems of poor real-time performance, cumbersome operation, and time-consuming and labor-intensive fertilization methods of prescription map variables. It solves the problems of low intelligence, heavy workload, cumbersome operation and high technical requirements of the real-time control variable fertilization method.

Description

technical field [0001] 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. Background technique [0002] The distribution of soil nutrients (including nitrogen content) in farmland plots is uneven and different. 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. [0003] 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 environmental inform...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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