WO2019113997A1 - Procédé fondé sur la micro-tomodensitométrie pour mesurer la vitesse d'écoulement de produits d'assimilation de culture de rosacées - Google Patents
Procédé fondé sur la micro-tomodensitométrie pour mesurer la vitesse d'écoulement de produits d'assimilation de culture de rosacées Download PDFInfo
- Publication number
- WO2019113997A1 WO2019113997A1 PCT/CN2017/117153 CN2017117153W WO2019113997A1 WO 2019113997 A1 WO2019113997 A1 WO 2019113997A1 CN 2017117153 W CN2017117153 W CN 2017117153W WO 2019113997 A1 WO2019113997 A1 WO 2019113997A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- rosaceae
- cross
- sectional area
- crop
- micro
- Prior art date
Links
- 235000004789 Rosa xanthina Nutrition 0.000 title claims abstract description 36
- 241000220222 Rosaceae Species 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title claims abstract description 27
- FBPFZTCFMRRESA-KVTDHHQDSA-N D-Mannitol Chemical compound OC[C@@H](O)[C@@H](O)[C@H](O)[C@H](O)CO FBPFZTCFMRRESA-KVTDHHQDSA-N 0.000 claims abstract description 39
- 229930195725 Mannitol Natural products 0.000 claims abstract description 39
- 235000010355 mannitol Nutrition 0.000 claims abstract description 39
- 239000000594 mannitol Substances 0.000 claims abstract description 39
- 238000010603 microCT Methods 0.000 claims abstract description 20
- 238000004364 calculation method Methods 0.000 claims abstract description 5
- 230000003595 spectral effect Effects 0.000 claims description 7
- 239000012153 distilled water Substances 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 235000006040 Prunus persica var persica Nutrition 0.000 abstract description 19
- 241000196324 Embryophyta Species 0.000 abstract description 5
- 238000013138 pruning Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000005259 measurement Methods 0.000 abstract description 2
- 230000001497 fibrovascular Effects 0.000 abstract 3
- 240000006413 Prunus persica var. persica Species 0.000 abstract 1
- 230000007547 defect Effects 0.000 abstract 1
- 238000002329 infrared spectrum Methods 0.000 abstract 1
- 238000000691 measurement method Methods 0.000 abstract 1
- 244000144730 Amygdalus persica Species 0.000 description 18
- 230000002792 vascular Effects 0.000 description 5
- 241001124076 Aphididae Species 0.000 description 3
- 230000006378 damage Effects 0.000 description 3
- 230000007812 deficiency Effects 0.000 description 3
- 239000000700 radioactive tracer Substances 0.000 description 3
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 238000004497 NIR spectroscopy Methods 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000007605 air drying Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000000701 chemical imaging Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000000875 corresponding effect Effects 0.000 description 1
- 238000007865 diluting Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000002285 radioactive effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F1/00—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow
- G01F1/66—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by measuring frequency, phase shift or propagation time of electromagnetic or other waves, e.g. using ultrasonic flowmeters
- G01F1/661—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by measuring frequency, phase shift or propagation time of electromagnetic or other waves, e.g. using ultrasonic flowmeters using light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B15/00—Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons
-
- 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
- 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
- G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
- G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
- G01N23/046—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
-
- 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
- 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
- G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
- G01N2021/3155—Measuring in two spectral ranges, e.g. UV and visible
-
- 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
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/40—Imaging
- G01N2223/419—Imaging computed tomograph
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/60—Specific applications or type of materials
- G01N2223/619—Specific applications or type of materials wood
Definitions
- the invention belongs to the technical field of fruit tree cultivation, and particularly relates to a method for measuring the flow rate of assimilation products of Rosaceae crops based on Micro-CT.
- Rosaceae crops are a unified body of energy flow and material transportation.
- the formation of Rosaceae crop yield requires the “source” to produce assimilation products, which are then transported to the reservoir through the transport organization in the form of assimilated product streams, and finally the yield is formed in the reservoir. .
- the accumulation process of assimilation products in the “library” is restricted by the supply capacity of “source”, the competitiveness of “library” and the transport capacity of the transport organization between “source-library”.
- the ability of the transporting ability of the transporting tissue between the "source-library” is determined by the vascular bundle of the stem of the Rosaceae crop, and the strength of the flow and the area of the vascular bundle are highly correlated with the number.
- the current research mainly focuses on the research on source and library regulation, while the research on convection is less.
- the methods for measuring the speed of assimilation product flow mainly include aphid kiss and isotope tracer method; the aphid kiss method causes damage to crops and is easy to cause crop diseases.
- the isotope tracer method is easy to cause radioactive damage to operators.
- the present invention establishes a method for determining the flow rate of assimilation products by studying the relationship between the assimilation product stream and the stem vascular bundle, and provides a theory for plant type construction and pruning management of Rosaceae crops. in accordance with.
- the present invention achieves the above technical objects by the following technical solutions.
- a method for determining the flow rate of an assimilation product of a Rosaceae crop based on Micro-CT comprising the following steps:
- Step 1 Establish a relationship between the cross-sectional area of the Rosaceae crop screen based on Micro-CT and the cross-sectional area of the stem, and determine the cross-sectional area of the screen of the Rosaceae crops measured;
- Step 2 Determine the concentration of assimilation products at the ends of the Rosaceae crops by hyperspectral imager
- Step 3 Calculate the flow rate of the inter-segmental assimilation product using the concentration at both ends of the Rosaceae crop and the cross-sectional area of the screen.
- the calculation formula of the cross-sectional area y of the sieve is The screen is considered to be a cylinder, d is the diameter of the screen, and m is the cross-sectional area of the screen.
- the different concentrations of the mannitol solution are obtained by dissolving different masses of mannitol in distilled water and then diluting to a volumetric volumetric flask.
- the concentration of the assimilation product at the tip of a section of the Rosaceae crop is C1
- the concentration of the assimilation product at the bottom is C2
- the measured times are T1 and T2, respectively, at (T2-T1).
- the amount of assimilation product passing through this section during the time period is (C1 ⁇ S1-C2 ⁇ S2), where S1 and S2 are the cross-sectional areas of the top and bottom screens respectively; then the internodes are assimilated in the T1 and T2 time periods.
- the flow rate of the product (C1 x S1-C2 x S2) / (T2-T1).
- the beneficial effects of the invention are as follows: the current methods for determining the flow rate of assimilation products are mainly aphid kiss needle method and isotope tracer method. Although these two methods can well determine the flow rate of assimilation products of Rosaceae crops, there are deficiencies that are easy to cause diseases and cause harm to operators.
- the method for measuring the assimilation product flow velocity provided by the present invention overcomes the current determination method. The deficiency of the assimilation products of Rosaceae crops is better determined, which provides a theoretical basis for plant type management and pruning technology of Rosaceae crops.
- Figure 1 is a CT image of a third internode screen scan of a peach tree.
- the method for determining the flow rate of assimilation products of Rosaceae crops based on Micro-CT is based on the following steps:
- the image of the stem of the peach tree was obtained by Micro-CT
- the diameter of the sieve tube was determined by the image
- the cross-sectional area of the sieve tube was calculated according to the diameter of the sieve tube.
- use the vernier caliper to measure the diameter of the inter-section, calculate the cross-sectional area of the inter-section; then establish the mathematical formula of the cross-sectional area of the screen and the inter-section cross-sectional area; finally, the near-infrared spectroscopy method is used to determine the vascular bundle at the ends of the stem
- the concentration of mannitol was calculated from the difference in concentration of mannitol in the vascular bundle at both ends to calculate the flow rate of the assimilation product.
- the first step is to determine the cross-sectional area of the screen between the sections.
- the diameter of the internode is measured by a vernier caliper, and then the cross-sectional area of the internode is calculated, that is, the cross-sectional area of the stem;
- the cross-sectional area of the inter-section is measured by a vernier caliper, and the cross-sectional area of the inter-section screen can be directly obtained by using the formula (1).
- the second step is to determine the concentration of assimilation products at the ends of the peach tree
- the transport of assimilated product streams in peach trees is transported in the form of mannitol, and the hyper-spectral imaging system (near-infrared-visible imaging system) is used to scan the top and bottom ends of an internode to obtain this internode.
- the intensity of the sensitive broadcast of mannitol at both ends was entered into the mannitol concentration prediction model, and the mannitol concentration at both ends of the internode was calculated.
- the third step is to calculate the flow rate of the assimilation product of the peach tree.
- the mannitol concentration at the top of a certain internode of the peach tree is C1
- the concentration of mannitol at the bottom is C2
- the measured times are T1 and T2, respectively, and then pass through this internode during the (T2-T1) time period.
- the amount of assimilation product is (C1 ⁇ S1-C2 ⁇ S2), wherein S1 and S2 are the cross-sectional areas of the top and bottom screens respectively (by taking the diameter of the stems between the ends of the ends, and then using step 1); Then, the flow rate of the assimilation product (C1 ⁇ S1 - C2 ⁇ S2) / (T2-T1) during the period of T1 and T2.
- Step 1 Establish a calculation formula based on the cross-sectional area of the Micro-CT peach tree screen and the cross-sectional area of the stem
- the scanning site is the third section of the peach tree
- Figure 1 shows the screen between the third section.
- the diameter of the screen is determined by the scale in the figure. As shown in Figure 1, the diameter of the screen is d1-d8, and the screen is regarded as a cylinder.
- the cross-sectional areas of the screen tubes are respectively m1, m2, ..., m8, and m is the cross-sectional area of the screen tubes; in the figure, the number of screen tubes is 8, and the diameter of each screen tube is 14, 16, 26, 23, respectively.
- the cross-sectional area of each screen is 153.86, 200.96, 530.66, 415.27, 615.44, 153.86, 226.87, 176.63, 346.19, 490.63 ⁇ m 2
- the cross-sectional area of the screen is 2473.55 ⁇ m 2
- the cross-sectional area is 28260000 ⁇ m 2 ; the ratio of the cross-sectional area of the screen to the cross-sectional area of the inter-section, the cross-sectional area of the stem and the cross-sectional area of the screen as follows:
- y is the cross-sectional area of the screen, and x is the cross-sectional area of the stem, and the unit is ⁇ m 2 ;
- Step 2 Determination of mannitol concentration at the two ends
- mannitol analytical grade
- 1 ml of the mannitol solution was taken up in a Petri dish, flattened, and then air-dried; the dish after air drying was subjected to a hyperspectral imager (near The infrared-visible spectrometer was scanned to obtain the spectral characteristics of different concentrations of mannitol solution, and the spectral characteristic values of different concentrations of mannitol solution were extracted.
- the corresponding equations for establishing the characteristic value and mannitol concentration were as follows:
- C is the concentration of mannitol
- X 1 X 2 , X 3 , and X 4 are the reflection intensities of sensitive wavelengths 452, 927.61, 1129.52, and 1316.69 nm, respectively, and the values are obtained by an experimental hyperspectral imager.
- the prediction model for mannitol concentration is:
- the top and bottom of any section of the peach tree were scanned by hyperspectral imager (near-infrared-visible spectrometer), and then the spectral characteristics at both ends were analyzed to extract the reflection intensity X 1 of sensitive wavelengths 452, 927.61, 1129.52, 1316.69 nm, X 2 , X 3 , X 4 , and then substitute the reflection intensities X 1 , X 2 , X 3 , X 4 of the four sensitive wavelengths into the formula (3) to obtain the mannitol concentration at the top and bottom of the third internode ; Record the measurement time at the same time.
- hyperspectral imager near-infrared-visible spectrometer
- Step 3 Calculation of assimilation product flow rate
- the mannitol concentration at the top of a certain internode of the peach tree was 30 g/L, and the concentration of mannitol at the bottom was 40 g/L.
- the top and bottom screens were measured.
- the cross-sectional areas were 2600 ⁇ m 2 and 3000 ⁇ m 2 , respectively, and the flow rate of the assimilated product during the period of T1 and T2 during the period of (10:00-11:00) was 0.048 g/hr.
Landscapes
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Food Science & Technology (AREA)
- Wood Science & Technology (AREA)
- Botany (AREA)
- Medicinal Chemistry (AREA)
- Electromagnetism (AREA)
- Fluid Mechanics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pulmonology (AREA)
- Radiology & Medical Imaging (AREA)
- Theoretical Computer Science (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
La présente invention concerne un procédé fondé sur la micro-tomodensitométrie pour mesurer la vitesse d'écoulement de produits d'assimilation d'une culture de rosacées. L'invention comprend les étapes suivantes : étape 1) établir une formule de calcul fondée sur la micro-tomodensitométrie pour une section transversale de faisceau fibrovasculaire et une section transversale de tige d'une culture de rosacées et déterminer des sections transversales de faisceau fibrovasculaire d'entrenœuds de la culture de rosacées mesurée ; étape 2) déterminer les concentrations de produits d'assimilation au niveau de deux extrémités des entrenœuds de la culture de rosacées, et déterminer les concentrations de mannitol au niveau des deux extrémités des entrenœuds à l'aide d'un procédé de mesure de mannitol fondé sur un spectre infrarouge proche établi ; étape 3) calculer la vitesse d'écoulement des produits d'assimilation des entrenœuds en utilisant des champs de concentration au niveau des deux extrémités des entrenœuds et des sections transversales du faisceau fibrovasculaire. La présente invention permet de remédier les défauts liés à la mesure de la vitesse d'écoulement de produit d'assimilation dans le passé, fournit une fondation théorique pour la structure du type de plante, permet de gérer l'élagage de la culture de rosacées dans notre pays, et favorise à un certain degré l'amélioration de la technologie de culture de pêches de notre pays.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CH01001/19A CH714787B1 (de) | 2017-12-14 | 2017-12-19 | Auf Mikro-CT basiertes Verfahren zur Bestimmung der Strömungsrate von Assimilationsprodukten von Rosaceae-Kulturpflanzen. |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711338139.7 | 2017-12-14 | ||
CN201711338139.7A CN107942005A (zh) | 2017-12-14 | 2017-12-14 | 基于Micro‑CT的蔷薇科作物同化产物流速的测定方法 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2019113997A1 true WO2019113997A1 (fr) | 2019-06-20 |
Family
ID=61944093
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2017/117153 WO2019113997A1 (fr) | 2017-12-14 | 2017-12-19 | Procédé fondé sur la micro-tomodensitométrie pour mesurer la vitesse d'écoulement de produits d'assimilation de culture de rosacées |
Country Status (3)
Country | Link |
---|---|
CN (1) | CN107942005A (fr) |
CH (1) | CH714787B1 (fr) |
WO (1) | WO2019113997A1 (fr) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1406282A (zh) * | 2000-03-01 | 2003-03-26 | 研究与发展研究院公司 | 种子产量、生物量、和收获指数增加的转基因植物 |
CN101457234A (zh) * | 2007-12-14 | 2009-06-17 | 中国科学院遗传与发育生物学研究所 | 一种提高植物产量的方法及其表达盒 |
CN101881747A (zh) * | 2010-06-12 | 2010-11-10 | 北京农业智能装备技术研究中心 | 基于siet的植物耐盐性快速检测方法 |
US20130276368A1 (en) * | 2010-11-08 | 2013-10-24 | Kotaro Takayama | Plant health diagnostic method and plant health diagnostic device |
CN106770941A (zh) * | 2016-12-09 | 2017-05-31 | 江苏大学 | 一种确定温室黄瓜老叶的方法 |
CN107314985A (zh) * | 2017-06-12 | 2017-11-03 | 华中农业大学 | 一种利用近红外光谱检测油菜茎秆纤维素含量的方法 |
-
2017
- 2017-12-14 CN CN201711338139.7A patent/CN107942005A/zh active Pending
- 2017-12-19 WO PCT/CN2017/117153 patent/WO2019113997A1/fr active Application Filing
- 2017-12-19 CH CH01001/19A patent/CH714787B1/de not_active IP Right Cessation
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1406282A (zh) * | 2000-03-01 | 2003-03-26 | 研究与发展研究院公司 | 种子产量、生物量、和收获指数增加的转基因植物 |
CN101457234A (zh) * | 2007-12-14 | 2009-06-17 | 中国科学院遗传与发育生物学研究所 | 一种提高植物产量的方法及其表达盒 |
CN101881747A (zh) * | 2010-06-12 | 2010-11-10 | 北京农业智能装备技术研究中心 | 基于siet的植物耐盐性快速检测方法 |
US20130276368A1 (en) * | 2010-11-08 | 2013-10-24 | Kotaro Takayama | Plant health diagnostic method and plant health diagnostic device |
CN106770941A (zh) * | 2016-12-09 | 2017-05-31 | 江苏大学 | 一种确定温室黄瓜老叶的方法 |
CN107314985A (zh) * | 2017-06-12 | 2017-11-03 | 华中农业大学 | 一种利用近红外光谱检测油菜茎秆纤维素含量的方法 |
Non-Patent Citations (1)
Title |
---|
NI, JIHENG ET AL.: "Effect of Different Electrical Conductivity on Photosynthetic Characteristics of Cucumber Leaves in Greenhouse", TRANSACTIONS OF THE CHINESE SOCIETY OF AGRICULTURAL ENGINEERING, vol. 27, no. 10, 31 October 2011 (2011-10-31), pages 277 - 281, XP055618257 * |
Also Published As
Publication number | Publication date |
---|---|
CN107942005A (zh) | 2018-04-20 |
CH714787B1 (de) | 2020-08-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ji-Yong et al. | Nondestructive diagnostics of nitrogen deficiency by cucumber leaf chlorophyll distribution map based on near infrared hyperspectral imaging | |
Meng et al. | Trade-offs between light interception and leaf water shedding: a comparison of shade-and sun-adapted species in a subtropical rainforest | |
CN104614321B (zh) | 一种基于光谱图像的作物长势实时监测方法 | |
CN110378926B (zh) | 一种基于机载LiDAR和Sentinel-2A数据的地上植被生态水估算方法 | |
Majasalmi et al. | An assessment of ground reference methods for estimating LAI of boreal forests | |
Yuan et al. | Development of a peanut canopy measurement system using a ground-based lidar sensor | |
CN109657730A (zh) | 预测温室作物蒸腾量的方法及系统 | |
Pabuayon et al. | High-throughput phenotyping in cotton: a review | |
Muharam et al. | Estimating cotton nitrogen nutrition status using leaf greenness and ground cover information | |
WO2016180245A1 (fr) | Procédé de calcul de rendement photosynthétique de couronne | |
CN106226264A (zh) | 青蒿金银花醇沉过程在线实时放行标准建立方法与放行方法及应用 | |
Bates et al. | Variable-rate mechanical crop adjustment for crop load balance in ‘Concord’vineyards | |
Louarn et al. | Influence of trellis system and shoot positioning on light interception and distribution in two grapevine cultivars with different architectures: an original approach based on 3D canopy modelling | |
WO2019113997A1 (fr) | Procédé fondé sur la micro-tomodensitométrie pour mesurer la vitesse d'écoulement de produits d'assimilation de culture de rosacées | |
Campbell et al. | Efficiencies of conversion of residue C to soil C | |
CN114486786A (zh) | 土壤有机质测定方法及测定系统 | |
Lin-Sheng et al. | Continuous wavelet analysis for diagnosing stress characteristics of leaf powdery mildew | |
RU2603903C1 (ru) | Способ расчета биомассы растений в межполосном пространстве | |
Moreno et al. | 3D assessment of vine training systems derived from ground-based RGB-D imagery | |
CN114972160A (zh) | 一种基于无人机的天然牧场产草量快速测量方法及系统 | |
CN106092910A (zh) | 一种枣树冠层氮含量的检测方法 | |
CN108184564B (zh) | 一种构建温室茄果类作物同化产物分配模型的方法 | |
CN106092909A (zh) | 一种枣树冠层叶绿素含量的检测方法 | |
Mantovani et al. | Relationship between nitrogen resorption and leaf size in the aroid vine Rhodospatha oblongata (Araceae) | |
Jian et al. | Photosynthetic rate prediction of tomato plant population based on PSO and GA |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 17934391 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 10201900001001 Country of ref document: CH |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 17934391 Country of ref document: EP Kind code of ref document: A1 |