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 PDFInfo
- 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
- Authority
- GB
- United Kingdom
- Prior art keywords
- potassium
- nitrogen
- chlorophyll
- magnesium deficiency
- distribution characteristics
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 title abstract 12
- 229930002875 chlorophyll Natural products 0.000 title abstract 7
- 235000019804 chlorophyll Nutrition 0.000 title abstract 7
- ATNHDLDRLWWWCB-AENOIHSZSA-M chlorophyll a Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 ATNHDLDRLWWWCB-AENOIHSZSA-M 0.000 title abstract 7
- 208000019025 Hypokalemia Diseases 0.000 title abstract 6
- 208000008167 Magnesium Deficiency Diseases 0.000 title abstract 6
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 title abstract 6
- 235000004764 magnesium deficiency Nutrition 0.000 title abstract 6
- 229910052757 nitrogen Inorganic materials 0.000 title abstract 6
- 239000011591 potassium Substances 0.000 title abstract 6
- 229910052700 potassium Inorganic materials 0.000 title abstract 6
- 208000007645 potassium deficiency Diseases 0.000 title abstract 6
- 238000000034 method Methods 0.000 title abstract 3
- 238000003745 diagnosis Methods 0.000 abstract 4
- 235000010799 Cucumis sativus var sativus Nutrition 0.000 abstract 1
- 244000299906 Cucumis sativus var. sativus Species 0.000 abstract 1
- 238000000701 chemical imaging Methods 0.000 abstract 1
- 230000007812 deficiency Effects 0.000 abstract 1
- 235000018343 nutrient deficiency Nutrition 0.000 abstract 1
Classifications
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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
Landscapes
- 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)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Analysing Materials By The Use Of Radiation (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.
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 Expired - Fee Related 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)
Country | Link |
---|---|
CN (1) | CN110631995B (en) |
CH (1) | CH716708B1 (en) |
GB (1) | GB2591565B (en) |
WO (1) | WO2021035858A1 (en) |
Families Citing this family (3)
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)
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 |
-
2019
- 2019-08-26 CN CN201910789336.3A patent/CN110631995B/en active Active
- 2019-09-26 GB GB2018070.9A patent/GB2591565B/en not_active Expired - Fee Related
- 2019-09-26 CH CH01498/20A patent/CH716708B1/en not_active IP Right Cessation
- 2019-09-26 WO PCT/CN2019/107983 patent/WO2021035858A1/en active Application Filing
Also Published As
Publication number | Publication date |
---|---|
CN110631995A (en) | 2019-12-31 |
GB2591565A (en) | 2021-08-04 |
GB2591565B (en) | 2022-10-12 |
WO2021035858A1 (en) | 2021-03-04 |
GB202018070D0 (en) | 2020-12-30 |
CN110631995B (en) | 2021-09-10 |
CH716708B1 (en) | 2022-05-13 |
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Legal Events
Date | Code | Title | Description |
---|---|---|---|
PCNP | Patent ceased through non-payment of renewal fee |
Effective date: 20230926 |