Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for detecting nutrient content of greenhouse crops under the interaction of nitrogen, phosphorus and potassium

A technology of interaction and crop nutrition, applied to the measurement of color/spectral characteristics, etc., can solve problems such as the interaction of nitrogen, phosphorus and potassium in crops that have not been seen

Active Publication Date: 2017-09-05
JIANGSU UNIV
View PDF3 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 technology and polarization spectrum technology to the detection of agricultural product quality and crop diseases, but there is no use of hyperspectral image technology and polarization spectrum technology to diagnose the detection of crop nitrogen, phosphorus and potassium interactions.

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 for detecting nutrient content of greenhouse crops under the interaction of nitrogen, phosphorus and potassium
  • Method for detecting nutrient content of greenhouse crops under the interaction of nitrogen, phosphorus and potassium
  • Method for detecting nutrient content of greenhouse crops under the interaction of nitrogen, phosphorus and potassium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] Taking tomato as an example below, the present invention will be further described in detail in conjunction with the accompanying drawings.

[0041] 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 near-infrared camera 5 (XEVA-FPA-1.7-320, XenICs, Leuven, Belgium), spectral range 900-1700nm, imaging spectrometer 6 (ImspectorN17E, Spectral Imaging Ltd., Finland), the resolution is 5nm, the DC adjustable light source 2 of 150W tungsten-halogen lamp (2900-ER+9596-E, Illumination Technologies, Inc., East Syracuse, NY, USA), the displacement unit is driven by a stepper motor 7 (MTS120, Beijing Optical Instrument Factory, Beijing, China) and controller 3 (SC100, Beijing Optical Instrument Factory, Beijing, China), the imaging spectrometer can collect images and trans...

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 detecting nutrient content of greenhouse crops under nitrogen, phosphorus and potassium interaction and relates to the technical field of diagnosis of deficiency of nutrient content of greenhouse crops. The method comprises the following steps: establishing a spectrum expression equation containing the nitrogen, phosphorus and potassium interaction to be used for quantitative analysis of the tomato nutrition stress condition, mathematically expressing enough combined variables and characteristics to simultaneously inverse the level of several nutrients, the interaction among the nutrients and other stress information, and focusing to develop establishment of a tomato nutrition content detection model under consideration of the nitrogen, phosphorus and potassium interaction, thereby obtaining a detection model with relatively high precision.

Description

technical field [0001] The invention relates to the technical field of diagnosing the nutritional content deficiency of greenhouse crops, in particular to a method for diagnosing the nutritional content of tomatoes under the interaction of nitrogen, phosphorus and potassium. 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 objects to diagnose nutri...

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 毛罕平朱文静刘红玉张晓东高洪燕
Owner JIANGSU UNIV