Apple tree canopy scale nitrogen content diagnosis method

A diagnostic method and tree canopy technology, applied in neural learning methods, color/spectral characteristic measurement, biological neural network models, etc., can solve the problems of mineral nitrogen entering the subsoil, low nitrogen utilization rate, and difficult fruit tree utilization, etc., to achieve construction The effect of less modulus, good diagnostic effect, good stability and portability

Pending Publication Date: 2020-12-25
NORTHWEST A & F UNIV
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The input of nitrogen fertilizer is closely related to the yield and quality of apples, and the high economic benefits of apples also lead growers to invest a lot of nitrogen fertilizer
The input of nitrogen fertilizer in apple orchards in my country is 726-1720kg / ha, with an average of 1220kg / ha. However, the blind input of nitrogen fertilizer makes the utilization rate of nitrogen fertilizer low, and a large part of mineral nitrogen enters the lower soil, which is difficult to be used by fruit trees.
[0003] At present, the laboratory chemical analysis method is mainly used to detect the nitrogen content of plants. This method has high accuracy, but requires local destructive sampling and has low timeliness.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Apple tree canopy scale nitrogen content diagnosis method
  • Apple tree canopy scale nitrogen content diagnosis method
  • Apple tree canopy scale nitrogen content diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] The field test of this example was carried out at the Luochuan Apple Test Station of Northwest A&F University in 2018 and 2019. The test station was located at 109°21′40″E, 35°47′8″N. The site is located in the Weibei Loess Plateau, which belongs to the warm temperate semi-humid continental monsoon climate, with an average altitude of 1072m, an average annual rainfall of 610mm, an average annual temperature of 9.2°C, 2525 hours of sunshine, a sunshine rate of 58%, and a frost-free period of 180 days. Radiation 554KJ / cm 2 , the accumulated temperature of >10°C is 3040°C, and the soil texture is black loam.

[0032] The specific steps of the apple tree canopy nitrogen content diagnosis method are as follows:

[0033] (1) The test apple tree variety is Fuji, which was planted in 2012. The planting mode is dense planting with short stock, the tree shape is spindle-shaped, the row spacing between plants is 2m×4m, and the plant height is about 4m. The test set 4 levels of n...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an apple tree canopy scale nitrogen content diagnosis method. The method comprises the following steps: determining the reflectivity of an apple tree canopy scale by adopting ahyper-spectrometer; selecting an apple tree canopy leaf sample; determining the total nitrogen content of the apple tree canopy leaf sample; identifying abnormal samples in a reflectivity data set and a total nitrogen content data set by utilizing a Monte Carlo secondary detection method; preprocessing the reflectivity data set; aiming at the obtained reflectivity data sets of 1326 wave bands, extracting variables based on a potential variable method in a partial least squares regression analysis process; establishing a model for the extracted variables by adopting an extreme learning machine; and predicting the nitrogen content of the apple tree canopy leaves by utilizing the established model. According to the method, canopy scale spectral information is collected for nitrogen conditiondiagnosis, errors caused by sample randomness due to existing leaf scale diagnosis are effectively avoided, and the diagnosis result can measure the overall canopy nitrogen condition of the apple tree.

Description

technical field [0001] The invention belongs to the technical field of apple cultivation, and more specifically relates to a method for diagnosing nitrogen content at the canopy level of apple trees. Background technique [0002] my country is the country with the largest apple planting area, accounting for 45% and 49% of the world's planting area and fresh fruit production respectively. The input of nitrogen fertilizer is closely related to the yield and quality of apples, and the high economic benefits of apples also lead growers to invest a lot of nitrogen fertilizer. The nitrogen fertilizer input in apple orchards in my country is 726-1720kg / ha, with an average of 1220kg / ha. However, the blind input of nitrogen fertilizer makes the utilization rate of nitrogen fertilizer low, and a large part of mineral nitrogen enters the subsoil, which is difficult to be used by fruit trees. [0003] At present, the laboratory chemical analysis method is mainly used to detect plant ni...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25G06N3/04G06N3/08
CPCG01N21/25G06N3/08G06N3/048G06N3/045
Inventor 胡田田陈绍民何琼孙光照张绍武罗利华
Owner NORTHWEST A & F UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products