Method of Polarization-Hyperspectral Diagnosis of Crop Nitrogen, Phosphorus and Potassium Deficiency

A polarization spectrum and hyperspectral technology is applied in the field of diagnosing the nitrogen, phosphorus and potassium nutrient content of greenhouse crops based on the polarization-hyperspectral technology, which can solve unseen problems and achieve the effects of simple and convenient operation, low resolution accuracy, and crop yield improvement.

Inactive Publication Date: 2016-08-31
JIANGSU UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, some scholars at home and abroad have mainly applied hyperspectral image technology to the detection of agricultural product quality and crop diseases; polarization spectrum technology has been used to invert the content of chlorophyll in plant leaves, but no polarization-hyperspectral technology has been used to diagnose Status of nitrogen, phosphorus and potassium nutrient deficiencies in crops

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
  • Method of Polarization-Hyperspectral Diagnosis of Crop Nitrogen, Phosphorus and Potassium Deficiency
  • Method of Polarization-Hyperspectral Diagnosis of Crop Nitrogen, Phosphorus and Potassium Deficiency
  • Method of Polarization-Hyperspectral Diagnosis of Crop Nitrogen, Phosphorus and Potassium Deficiency

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Taking tomato as an example below, the present invention will be further described in detail in conjunction with the accompanying drawings.

[0036] The hyperspectral image acquisition system adopted in the specific embodiment of the present invention refers to figure 1 . use figure 1 The shown hyperspectral image acquisition system collects hyperspectral images of greenhouse tomato leaves, which includes a near-infrared camera 5 (XEVA-FPA-1.7-320, XenICs, Leuven, Belgium), with a spectral range of 900-1700nm, and an imaging spectrometer 6 (ImspectorN17E, Spectral Imaging Ltd., Finland), the resolution is 5nm, the DC adjustable light source 2 of 150W halogen tungsten lamp (2900-ER+9596-E, Illumination Technologies, Inc., East Syracuse, NY, USA), the displacement unit is driven by a stepping motor 7 (MTS120, Beijing Optical Instrument Factory, Beijing, China) and controller 3 (SC100, Beijing Optical Instrument Factory, Beijing, China), the imaging spectrometer can coll...

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 a method for diagnosing nitrogen, phosphorus and potassium deficiency in crops using polarization-hyperspectral technology, and belongs to the technical field of rapid detection of crop nutrient element deficiency. Use the polarization spectrum to collect the polarization spectrum of tomato leaves, and calculate the polarization characteristics; use the hyperspectral imaging system to collect hyperspectral images of tomato leaves, and extract the characteristic wavelength and the grayscale and texture characteristics of tomato leaves under the characteristic wavelength. Carry out the fusion of feature layers, and then establish the prediction model of nitrogen, phosphorus, and potassium nutrient content of tomato in the flowering stage, and provide a method basis for using polarization-hyperspectral technology to detect crop nutrient content. Compared with conventional detection methods, the present invention has fast detection speed and simple and convenient operation; compared with a single near-infrared spectrum or computer vision technical means, the obtained information is more comprehensive, and the accuracy and stability of detection results are improved.

Description

technical field [0001] The invention belongs to the technical field of rapid detection of crop nutrient element deficiency, in particular to a method for diagnosing the nitrogen, phosphorus and potassium nutrient content of greenhouse crop leaves based on polarization-hyperspectral technology. Background technique [0002] Tomato (Lycopersicone sculentum Mill.) is one of the main vegetable crops cultivated in greenhouses in my country. Nitrogen, phosphorus, and potassium are essential and most important nutrients for tomato growth. Nutrient deficiencies in nitrogen, phosphorus, and potassium will cause physiological changes, directly affect the yield and taste, and then affect economic benefits. The study of plant physiology has confirmed that leaves are one of the most sensitive parts to reflect the nutritional status, and nutritional deficiencies can cause significant changes in leaf color, texture, roughness, and stomata. Therefore, crop leaves are used as research object...

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 Patents(China)
IPC IPC(8): G01N21/25
Inventor 朱文静毛罕平刘红玉张晓东高洪燕
Owner JIANGSU 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