CN106644998B - A kind of fruit thinning method based near infrared spectrum - Google Patents
A kind of fruit thinning method based near infrared spectrum Download PDFInfo
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- CN106644998B CN106644998B CN201610881157.9A CN201610881157A CN106644998B CN 106644998 B CN106644998 B CN 106644998B CN 201610881157 A CN201610881157 A CN 201610881157A CN 106644998 B CN106644998 B CN 106644998B
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- 235000013399 edible fruits Nutrition 0.000 title claims abstract description 92
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000002329 infrared spectrum Methods 0.000 title claims abstract description 21
- 229930006000 Sucrose Natural products 0.000 claims abstract description 61
- 229960004793 sucrose Drugs 0.000 claims abstract description 61
- CZMRCDWAGMRECN-UGDNZRGBSA-N Sucrose Chemical compound O[C@H]1[C@H](O)[C@@H](CO)O[C@@]1(CO)O[C@@H]1[C@H](O)[C@@H](O)[C@H](O)[C@@H](CO)O1 CZMRCDWAGMRECN-UGDNZRGBSA-N 0.000 claims abstract description 58
- 239000005720 sucrose Substances 0.000 claims abstract description 48
- 238000001514 detection method Methods 0.000 claims abstract description 8
- 238000005259 measurement Methods 0.000 claims abstract description 8
- 241000196324 Embryophyta Species 0.000 claims abstract description 5
- 244000061458 Solanum melongena Species 0.000 claims abstract description 4
- 235000002597 Solanum melongena Nutrition 0.000 claims abstract description 4
- 240000004160 Capsicum annuum Species 0.000 claims abstract 2
- 235000008534 Capsicum annuum var annuum Nutrition 0.000 claims abstract 2
- 238000001228 spectrum Methods 0.000 claims description 7
- 238000010219 correlation analysis Methods 0.000 claims description 3
- 125000000185 sucrose group Chemical group 0.000 claims description 3
- 240000003768 Solanum lycopersicum Species 0.000 abstract description 31
- 235000007688 Lycopersicon esculentum Nutrition 0.000 abstract description 27
- 239000000284 extract Substances 0.000 abstract description 3
- 235000013311 vegetables Nutrition 0.000 abstract 2
- 230000012010 growth Effects 0.000 description 12
- 238000004519 manufacturing process Methods 0.000 description 8
- 238000009395 breeding Methods 0.000 description 5
- 230000001488 breeding effect Effects 0.000 description 5
- 238000004497 NIR spectroscopy Methods 0.000 description 4
- 240000000111 Saccharum officinarum Species 0.000 description 3
- 235000007201 Saccharum officinarum Nutrition 0.000 description 3
- 230000003698 anagen phase Effects 0.000 description 3
- 210000003608 fece Anatomy 0.000 description 3
- 239000010871 livestock manure Substances 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000003898 horticulture Methods 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 241000607479 Yersinia pestis Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 238000013138 pruning Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000002792 vascular Effects 0.000 description 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
- 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
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G22/00—Cultivation of specific crops or plants not otherwise provided for
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- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Chemical & Material Sciences (AREA)
- Environmental Sciences (AREA)
- Health & Medical Sciences (AREA)
- Botany (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Cultivation Of Plants (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a kind of new fruit thinning methods, utilize the sucrose solution of near infrared spectrometer scanning various concentration, extract characteristic wavelength, the math equation of sucrose concentration and near infrared spectrum reflected intensity under characteristic wavelength is established, to obtain the detection method of cane sugar content in the carpopodium using near infrared spectrometer measurement fruit；Using the carpopodium for fruit of tentatively bearing fruit near infrared spectrometer scanning plant, near infrared spectrum data is obtained, obtains sucrose concentration in the carpopodium according to math equation described in step 1；It by sucrose concentration in the carpopodium, is compared with sucrose concentration in the carpopodium of adjacent fruit, chooses the fruit that sucrose concentration is minimum in carpopodium and extract progress vegetables and fruits.The validity of vegetables and fruits can be improved in the present invention, can be applied to the fruit thinning to tomato, pimento, eggplant etc..
Description
Technical field
The invention belongs to facilities horticulture cultivation fields, and in particular to a kind of to be accurately positioned greenhouse kind using near infrared spectrum
The technology of eggplant fruit thinning position.
Background technique
Facilities horticulture is quickly grown in China, developed to from 1.03 ten thousand hectares of nineteen eighty-two 2015 410.9 ten thousand hectares, always
Area ranks first in the world.Tomato pruning technique is mainly transplanted from field production technology in China's facility cultivation at present, i.e.,
By the experience of the producer, the fruit that selection needs to remove carries out fruit thinning, and this method tool needs the producer raw to tamato fruit
The very deep understanding of long law of development, and there is subjectivity and randomness.But crop field tomato cultivation and greenhouse tomato cultivation exist
Many differences, be specifically mainly reflected in it is following 3 aspect:
1) facility cultivation medium temperature chamber tomato breeding time remote super large field.In current Production of Large Fields, due to the limitation of breeding time,
Breeding time terminates tomato generally after the harvesting of 3-4 fruit branch.And the breeding time of greenhouse tomato can extend to 270 days in North China
Left and right,
2) microclimate environment for createing suitable tomato growth in greenhouse in facility cultivation by facility makes tomato be in best
Upgrowth situation in.And environment conditioning can not be carried out in field production, therefore make tomato often in unfavorable growing environment.
3) it mostly uses soilless cultivation, nutrient solution to pour mode in facility cultivation greatly at present, and applies fertilizer and use in field production
The mode of base manure and top dressing.Facility cultivation medium temperature chamber tomato is often located in field production in the state that no liquid manure wanes
It wanes under state in liquid manure.
Compared with field production, the tomato of facility cultivation is in optimal upgrowth situation, and has longer breeding time,
The dynamic rule and field production in source library have very big difference.Therefore the fruit thinning method in crop field is simply transplanted to facility cultivation
In, the growth potential of Tomato in Protected Cultivation can not be given full play of.
Therefore hothouse production person frequently encounters following situation when carrying out fruit thinning: in Autumn cultivation, each fruit ear
It needing to stay 3 fruits as required, but has 4 fruits on fruit ear at present, and in the same size, is this when which fruit of the removal actually?
For this problem, the present invention is by studying a kind of method for establishing greenhouse tomato fruit thinning.
The quality of fruit growth depends primarily on the amount that assimilation products is distributed to fruit, the input of assimilation products amount number take
Certainly in Sink strength.The calculation method of greenhouse tomato Sink strength is the letter of fruit growth rate under potential growth state at present
Number.This method can be very good to explain the upgrowth situation of greenhouse tomato fruit.But exist following insufficient: firstly, fruit growth
Rate needs practical measurement to obtain, and is difficult look-ahead, has hysteresis quality.Secondly, the S-type life of the growth of greenhouse tomato fruit
It is long, following growth phase, slow growth phase, exponential growth and linear growth rank can be divided into according to growth rate
Section.In different growth phases, there are great differences for fruit growth rate, and Sink strength is caused to be difficult to accurately calculate.Therefore compel
A kind of method for capableing of accurate Characterization Sink strength will be sought by being essential.
Greenhouse tomato assimilation products is mainly transported in fruit by the vascular bundle of bast from blade in the form of sucrose,
The assimilation products that assimilation products is transported to single fruit is more, then the cane sugar content at this fruit carpopodium position is higher, then fruit
It is real the better with regard to what is grown.Therefore an effectively evaluating of the height of cane sugar content as the following fruit growth quality in carpopodium
Standard.
More and more researchs at present think that near infrared spectrum can have lossless, real with the sucrose in Accurate Determining plant
When the advantages of, therefore the present invention initially sets up the detection model using near infrared ray carpopodium cane sugar content, passes through detection
The cane sugar content that model inspection carpopodium goes out predicts the upgrowth situation of the following fruit with the height of cane sugar content.By comparing acquisition
Carpopodium at cane sugar content, remove carpopodium in cane sugar content low fruit, provide guidance for greenhouse tomato fruit thinning.
Summary of the invention
The fruit thinning method based near infrared spectrum that the purpose of the present invention is to provide a kind of, to improve the validity of fruit thinning.
In order to solve the above technical problems, the present invention is according near infrared spectrum reflected intensity under sucrose concentration and specific wavelength
Closely related feature devises a kind of tomato fruit thinning method based near infrared spectrum, and specific technical solution is as follows:
A kind of fruit thinning method based near infrared spectrum, it is characterised in that the following steps are included:
Step 1 extracts characteristic wavelength, establishes characteristic wave using the sucrose solution of near infrared spectrometer scanning various concentration
The math equation of long lower sucrose concentration and near infrared spectrum reflected intensity, to obtain using near infrared spectrometer measurement fruit
The detection method of cane sugar content in carpopodium；
Step 2 obtains near infrared spectrum number using the carpopodium for fruit of tentatively bearing fruit near infrared spectrometer scanning plant
According to according to sucrose concentration in the acquisition of math equation described in the step 1 carpopodium；
Sucrose concentration in the carpopodium is compared by step 3 with sucrose concentration in the carpopodium of adjacent fruit, is chosen
The fruit that sucrose concentration is minimum in carpopodium, which is extractd, carries out fruit thinning.
The establishment process of math equation in the step 1 is as follows:
Process 2.1 scans the sucrose solution that concentration is 10%, 20%, 30%, 40% using near infrared spectrometer respectively,
Obtain spectrum picture；
Process 2.2 handles spectrum picture using ENVI software, text data is extracted, using SPSS software to different characteristic
The relationship of sucrose concentration and corresponding reflected intensity carries out correlation analysis under wavelength；The characteristic wavelength be 927.61 nanometers,
1129.52 nanometer, 1316.69 nanometers；
Process 2.3 obtains sucrose concentration mathematics using the relationship between the reflected intensity and concentration under the characteristic wavelength
Equation:
Y=-72.9377-0.004*X1+0.031*X2-0.0051*X3
Y is sucrose concentration X1, X2, X3Respectively wavelength 927.61, the reflected intensity under 1129.52,1316.69.
Detection method includes the following steps for cane sugar content in carpopodium in the step 1:
Step 3.1, using the carpopodium for fruit of tentatively bearing fruit near infrared spectrometer scanning plant, carpopodium near infrared light is obtained
Spectrogram picture；
Step 3.2, the carpopodium near infrared spectrum image is analyzed, obtains the reflected intensity of each characteristic wavelength, generation
Enter the math equation, sucrose concentration in fruit carpopodium is calculated；
Step 3.3, the sucrose concentration tentatively beared fruit in fruit carpopodium is compared, it is minimum with sucrose concentration in carpopodium
Fruit is fruit thinning object.
The present invention has beneficial effect.
The near infrared spectroscopy that the present invention uses is more succinct, efficient, and has perspective.Traditional fruit thinning method is needed according to people
Subjective judgement, will development it is normal, carpopodium is slightly grown, and uniform in size consistent, the bud green fruit of color leaves, dredge go to be fertilized it is bad,
Protrude outward, the especially short or elongated fruit of fruit top Xiang Lichang, carpopodium among fruit ear, and modest fruit, lopsided fruit and
Disease pest fruit；And after the near infrared spectroscopy that the present invention uses only needs to be scanned carpopodium using near infrared spectrometer
Compared according to equation and is judged.Comparing with traditional fruit thinning method, the near infrared spectroscopy that the present invention uses is more succinct efficient,
Convenient for operation.Near infrared spectroscopy has fully taken into account the developmental potentiality of fruit, avoids that the better fruit of later but quality will be developed
It is real to reject.
Specific embodiment
Below by taking the fruit thinning of greenhouse tomato as an example, technical solution of the present invention is described in further detail.One kind is based on
The fruit thinning method of near infrared spectrum, it comprising the following three steps:
The first step obtains the detection method of measurement cane sugar content.
Using the sucrose solution of near infrared spectrometer scanning various concentration, characteristic wavelength is extracted, sugarcane under characteristic wavelength is established
The math equation of sugared concentration and near infrared spectrum reflected intensity is obtained using sugarcane near infrared spectrometer measurement greenhouse tomato carpopodium
The detection method of sugared content；
Second step obtains the sucrose concentration in tomato carpopodium.
Using the carpopodium for fruit of tentatively bearing fruit near infrared spectrometer scanning greenhouse tomato plant, near-infrared in carpopodium is obtained
The reflected intensity of spectrum obtains the sucrose concentration in tomato carpopodium according to the math equation established above.
Third step compares and judges.
Tentatively bear fruit on the greenhouse tomato plant of the acquisition of foundation the sucrose concentration of carpopodium, and in adjacent fruit carpopodium
Sucrose concentration is compared, and is chosen the fruit that sucrose concentration is minimum in carpopodium and is carried out fruit thinning.
The acquisition of parameter in the present invention:
1. designing the near infrared spectrum test of sucrose concentration, characteristic wavelength is extracted, and dense with sucrose different under specific wavelength
The reflected intensity of degree is independent variable, and sucrose concentration establishes the number of cane sugar content in measurement greenhouse tomato carpopodium as dependent variable
Equation is learned, carries out fruit thinning according to the equation.
2. specific method
2.1 establish math equation
1) sucrose solution that concentration is 10%, 20%, 30%, 40% is scanned respectively using near infrared spectrometer, obtain light
Spectrogram picture.
2) spectrum picture is handled using ENVI software, text data is extracted, using SPSS software to sucrose under different wave length
The relationship of concentration and corresponding reflected intensity carries out correlation analysis, and selecting characteristic wavelength is 927.61,1129.52,1316.69.
3) polynomial function is calculated using the data under three characteristic wavelengths:
Y=-72.9377-0.004*X1+0.031*X2-0.0051*X3
Wherein, Y is sucrose concentration X1, X2, X3Respectively wavelength 927.61, the reflected intensity under 1129.52,1316.69.
Sucrose concentration in 2.2 measurement tomato carpopodiums
Using the carpopodium for fruit of tentatively bearing fruit near infrared spectrometer scanning greenhouse tomato plant, atlas of near infrared spectra is obtained
Picture chooses the region of same size on carpopodium spectrum picture, takes the average value of reflected intensity under each characteristic wavelength on the region,
Bring the sucrose concentration in the math equation acquisition tomato carpopodium established above into.
The selection of 2.3 fruit thinnings
According to the sucrose concentration of carpopodium of tentatively bearing fruit on the greenhouse tomato plant obtained, and with sugarcane in adjacent fruit carpopodium
Sugared concentration is compared, and is chosen the fruit that sucrose concentration is minimum in carpopodium and is carried out fruit thinning.
Claims (2)
1. a kind of fruit thinning method based near infrared spectrum, it is characterised in that the following steps are included:
Step 1 is extracted characteristic wavelength, is established under characteristic wavelength using the sucrose solution of near infrared spectrometer scanning various concentration
The math equation of sucrose concentration and near infrared spectrum reflected intensity, to obtain the carpopodium using near infrared spectrometer measurement fruit
The detection method of interior cane sugar content；
Step 2 obtains near infrared spectrum data using the carpopodium for fruit of tentatively bearing fruit near infrared spectrometer scanning plant, according to
Sucrose concentration in the carpopodium is obtained according to math equation described in step 1；
Sucrose concentration in the carpopodium is compared by step 3 with sucrose concentration in the carpopodium of adjacent fruit, chooses carpopodium
The minimum fruit of interior sucrose concentration, which is extractd, carries out fruit thinning；
The establishment process of math equation in the step 1 is as follows:
Process 2.1 scans the sucrose solution that concentration is 10%, 20%, 30%, 40% using near infrared spectrometer respectively, obtains
Spectrum picture；
Process 2.2 handles spectrum picture using ENVI software, text data is extracted, using SPSS software to different characteristic wavelength
The relationship of lower sucrose concentration and corresponding reflected intensity carries out correlation analysis；The characteristic wavelength is 927.61 nanometers, 1129.52
Nanometer, 1316.69 nanometers；
Process 2.3 obtains sucrose concentration math equation using the relationship between the reflected intensity and concentration under the characteristic wavelength:
Y=-72.9377-0.004*X1+0.031*X2-0.0051*X3
Y is sucrose concentration X1, and X2, X3 are respectively the reflected intensity under wavelength 927.61,1129.52,1316.69.
2. a kind of fruit thinning method based near infrared spectrum according to claim 1, it is characterised in that the fruit is kind
Eggplant, it is any in pimento, eggplant.
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| CN108184564B (en) * | 2017-12-28 | 2020-03-31 | 江苏大学 | Method for constructing assimilation product distribution model of greenhouse solanaceous fruit crops |
| CN111912815B (en) * | 2019-12-20 | 2023-03-14 | 南开大学 | Near infrared spectrum analysis method for evaluating quality of oil crops |
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| JP3646620B2 (en) * | 2000-04-24 | 2005-05-11 | 住友金属鉱山株式会社 | Non-destructive transmission optical measurement device calibrator, calibration method using the calibrator, and non-destructive transmission optical measurement device incorporating the calibrator |
| CN2779390Y (en) * | 2004-09-08 | 2006-05-10 | 江苏大学 | Diffuse reflection detector for near infrared konfyt acidity analysis |
| US8026483B2 (en) * | 2005-10-13 | 2011-09-27 | Baylor University | Spectroscopic determination of sucrose |
| CN101393122B (en) * | 2008-10-31 | 2011-02-16 | 中国农业大学 | Honey quality rapid detection method |
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