Establishment method of potato leaf nitrogen detection model and detection method of potato leaf nitrogen
A technology for establishing method and leaf nitrogen, applied in the direction of color/spectral characteristic measurement, complex mathematical operation, etc., can solve the problems of complex calculation method and many parameters, and achieve the effect of simple detection method, accurate detection and high accuracy
Pending Publication Date: 2021-06-01
INNER MONGOLIA AGRICULTURAL UNIVERSITY
View PDF9 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0069] Design of Experiments for Modeled Samples
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
Login to View More Abstract
The invention provides an establishment method of a potato leaf nitrogen detection model and a detection method of potato leaf nitrogen, and belongs to the technical field of potato nitrogen nutrition diagnosis. According to the method, a potato spectrum characteristic value with the maximum correlation with the potato leaf nitrogen cumulant is screened out through correlation analysis to serve as a sensitive spectrum characteristic value, regression analysis is conducted on the sensitive spectrum characteristic value and the leaf nitrogen cumulant, and the model with the maximum R2 is screened out to serve as the potato leaf nitrogen detection model, the method realizes accurate detection of the potato leaf nitrogen, can realize large-scale detection, and is simple in detection method and high in accuracy.
Description
technical field [0001] The invention relates to the technical field of potato nitrogen nutrition diagnosis, in particular to a method for establishing a nitrogen detection model of potato leaves and a method for detecting nitrogen in potato leaves. Background technique [0002] The nitrogen content in potato leaves is significantly related to potato yield. However, excessive nitrogen application will not only lead to overgreening and late maturity of potatoes, but also increase environmental risks such as air and water. Therefore, rational nitrogen application is very important in green agricultural production, and the diagnosis of nitrogen nutrition in leaves is a prerequisite for achieving the above goals. [0003] Traditional plant leaf nitrogen nutrition diagnosis methods are many, such as leaf color diagnosis method, laboratory chemical analysis method, SPAD instrument diagnosis method, etc., but these methods have disadvantages such as poor timeliness, large sampling v...
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
Login to View More IPC IPC(8): G01N21/25G06F17/18
CPCG01N21/25G06F17/18
Inventor 韩康于静樊明寿贾立国秦永林陈杨石晓华
Owner INNER MONGOLIA AGRICULTURAL UNIVERSITY



