GB2591565A8 - Method for synchronously diagnosing nitrogen, potassium, and magnesium deficiency based on chlorophyll distribution characteristics on leaf surface - Google Patents

Method for synchronously diagnosing nitrogen, potassium, and magnesium deficiency based on chlorophyll distribution characteristics on leaf surface Download PDF

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Publication number
GB2591565A8
GB2591565A8 GB2018070.9A GB202018070A GB2591565A8 GB 2591565 A8 GB2591565 A8 GB 2591565A8 GB 202018070 A GB202018070 A GB 202018070A GB 2591565 A8 GB2591565 A8 GB 2591565A8
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United Kingdom
Prior art keywords
potassium
nitrogen
chlorophyll
magnesium deficiency
distribution characteristics
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GB2018070.9A
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GB2591565B (en
GB202018070D0 (en
GB2591565A (en
Inventor
Shi Jiyong
Zou Xiaobo
Li Zhihua
Huang Xiaowei
Guo Zhiming
Zhang Wen
Zhang Di
Li Wenting
Hu Xuetao
Sun Yue
Shi Haijun
Shi Yongqiang
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Jiangsu University
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Jiangsu University
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Publication of GB202018070D0 publication Critical patent/GB202018070D0/en
Publication of GB2591565A publication Critical patent/GB2591565A/en
Publication of GB2591565A8 publication Critical patent/GB2591565A8/en
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N31/00—Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroup; Apparatus specially adapted for such methods
    • G01N31/002—Determining nitrogen by transformation into ammonia, e.g. KJELDAHL method
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0098—Plants or trees
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N2021/8466—Investigation of vegetal material, e.g. leaves, plants, fruits
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation
    • G06T2207/30188—Vegetation; Agriculture

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Pathology (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Wood Science & Technology (AREA)
  • Botany (AREA)
  • Geometry (AREA)
  • Quality & Reliability (AREA)
  • Molecular Biology (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The present invention relates to the technical field of nutrient deficiency diagnosis of crops, and in particular, to a method for synchronously diagnosing nitrogen, potassium, and magnesium deficiency based on chlorophyll distribution characteristics on a leaf surface. In the present invention, firstly, the surface region of a leaf to be detected is divided into several small regions; regional distribution characteristics of chlorophyll are extracted, and the mean values, variances, maximum values, and minimum values of the chlorophyll content corresponding to all the pixels in the small regions in a chlorophyll distribution pattern on the leaf surface are extracted by using a hyperspectral imaging technology; a nitrogen, potassium, and magnesium deficiency diagnosis model is built accordingly; and nitrogen, potassium, and magnesium deficiency of the leaf to be detected is diagnosed according to the model. The present invention eliminates the limitation that element deficiency diagnosis methods based on the chlorophyll content cannot synchronously diagnose nitrogen, potassium, and magnesium deficiency in cucumber leaves; and can rapidly and nondestructively extract the chlorophyll distribution characteristics on the surfaces of the leaves, thereby achieving efficient diagnosis of nitrogen, potassium, and magnesium deficiency in the leaves.
GB2018070.9A 2019-08-26 2019-09-26 Method for synchronously diagnosing nitrogen, potassium, and magnesium deficiency based on chlorophyll distribution characteristics on leaf surface Active GB2591565B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910789336.3A CN110631995B (en) 2019-08-26 2019-08-26 Method for synchronously diagnosing nitrogen, potassium and magnesium element deficiency by leaf chlorophyll and leaf surface distribution characteristics
PCT/CN2019/107983 WO2021035858A1 (en) 2019-08-26 2019-09-26 Method for synchronously diagnosing nitrogen, potassium and magnesium element deficiency on the basis of distribution characteristics of leaf chlorophyll on leaf surface

Publications (4)

Publication Number Publication Date
GB202018070D0 GB202018070D0 (en) 2020-12-30
GB2591565A GB2591565A (en) 2021-08-04
GB2591565A8 true GB2591565A8 (en) 2021-08-11
GB2591565B GB2591565B (en) 2022-10-12

Family

ID=68969067

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2018070.9A Active GB2591565B (en) 2019-08-26 2019-09-26 Method for synchronously diagnosing nitrogen, potassium, and magnesium deficiency based on chlorophyll distribution characteristics on leaf surface

Country Status (4)

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CN (1) CN110631995B (en)
CH (1) CH716708B1 (en)
GB (1) GB2591565B (en)
WO (1) WO2021035858A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110631995B (en) * 2019-08-26 2021-09-10 江苏大学 Method for synchronously diagnosing nitrogen, potassium and magnesium element deficiency by leaf chlorophyll and leaf surface distribution characteristics
CN111398198A (en) * 2020-04-29 2020-07-10 中国农业大学 Rapid nondestructive testing method for wheat grain trace elements
CN114486761B (en) * 2022-01-24 2024-04-12 云南省热带作物科学研究所 Rapid estimation method for magnesium content of rubber tree blade

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100538333C (en) * 2006-04-30 2009-09-09 武汉大学 Portable detector for pigment in plant leaf
UA32191U (en) * 2007-12-13 2008-05-12 Yuriev Inst Of Plant Science O Method for recording affection of cereals and grain legumes with leaf diseases
CN101382488B (en) * 2008-10-14 2010-09-29 江苏吟春碧芽茶叶研究所有限公司 Method for detecting nitrogen content in fresh tea by visible light-near infrared diffuse reflection spectrum technology
BRPI0805608B1 (en) * 2008-12-15 2018-11-21 Embrapa Pesquisa Agropecuaria method, equipment and system for the diagnosis of stresses and diseases in higher plants
CN101692037B (en) * 2009-09-08 2011-12-21 江苏大学 Method for analyzing chlorophyll distribution on surface of leaves of plant by hyperspectral image and independent component
CN101915738B (en) * 2010-06-23 2013-06-12 江苏大学 Method and device for rapidly detecting nutritional information of tea tree based on hyperspectral imaging technique
CN103868891A (en) * 2014-03-12 2014-06-18 中国农业科学院油料作物研究所 Method for rapidly diagnosing nitrogen nutrition in oilseed rape leaves and recommending application of nitrogen
CN105486669A (en) * 2016-01-12 2016-04-13 丽水学院 Chlorophyll fluorescence diagnostic method for deficiency of indispensable plant nutritive elements
CN105675821B (en) * 2016-02-21 2018-11-02 南京农业大学 A kind of method for building up of the picture appraisal index of crop nitrogen nutrition Nondestructive
CN110148146B (en) * 2019-05-24 2021-03-02 重庆大学 Plant leaf segmentation method and system by utilizing synthetic data
CN110631995B (en) * 2019-08-26 2021-09-10 江苏大学 Method for synchronously diagnosing nitrogen, potassium and magnesium element deficiency by leaf chlorophyll and leaf surface distribution characteristics

Also Published As

Publication number Publication date
WO2021035858A1 (en) 2021-03-04
GB2591565B (en) 2022-10-12
CN110631995B (en) 2021-09-10
GB202018070D0 (en) 2020-12-30
GB2591565A (en) 2021-08-04
CN110631995A (en) 2019-12-31
CH716708B1 (en) 2022-05-13

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