CN111842191A - Sorting mechanism for distinguishing grades of fresh tea leaves - Google Patents
Sorting mechanism for distinguishing grades of fresh tea leaves Download PDFInfo
- Publication number
- CN111842191A CN111842191A CN202010765448.8A CN202010765448A CN111842191A CN 111842191 A CN111842191 A CN 111842191A CN 202010765448 A CN202010765448 A CN 202010765448A CN 111842191 A CN111842191 A CN 111842191A
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- China
- Prior art keywords
- sorting mechanism
- sorting
- tea leaves
- fresh tea
- infrared spectrum
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
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- A—HUMAN NECESSITIES
- A23—FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
- A23F—COFFEE; TEA; THEIR SUBSTITUTES; MANUFACTURE, PREPARATION, OR INFUSION THEREOF
- A23F3/00—Tea; Tea substitutes; Preparations thereof
- A23F3/06—Treating tea before extraction; Preparations produced thereby
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/363—Sorting apparatus characterised by the means used for distribution by means of air
- B07C5/365—Sorting apparatus characterised by the means used for distribution by means of air using a single separation means
- B07C5/366—Sorting apparatus characterised by the means used for distribution by means of air using a single separation means during free fall of the articles
Abstract
The invention discloses a sorting mechanism for distinguishing grades of fresh tea leaves, which comprises a sorting box and a feeding mechanism, wherein the sorting box is connected with the sorting box; the sorting box is arranged on one side of the feeding mechanism; the sorting box comprises a box body frame, a vibration feeding mechanism, a first sorting mechanism, a second sorting mechanism, a signal processor and a sensing device; the first sorting mechanism comprises an infrared spectrum scanning device; the infrared spectrum scanning device is arranged below the first sliding groove, and the light projection direction of the infrared spectrum scanning device is perpendicular to the sliding rail of the first sliding groove; the air compressor and the air injection device are both arranged below the infrared spectrum scanning device; the air injection device is communicated with the air compressor; and the air injection device and the infrared spectrum scanning device are both electrically connected with the sensing device. According to the invention, the fresh tea leaves with high grade are firstly screened out according to the special wave band of the near infrared spectrum, and then are further analyzed, screened and distinguished by the neural network system, so that the screening is rapid, accurate and effective.
Description
Technical Field
The invention relates to the technical field of fresh tea leaf sorting, in particular to a sorting mechanism for distinguishing grades of fresh tea leaves.
Background
The fresh tea leaves used for making the tea leaves are roughly divided into two types according to grades, wherein one type is the fresh single-bud tea leaves with excellent quality, and the other type is the poor fresh single-bud one-leaf or single-bud two-leaf tea leaves. In the prior art, tea leaves are rotated by a fan due to different qualities, so that the aim of sorting is fulfilled; the fresh leaves sorted in this way can often mix and clamp the fresh leaves of the single-bud tea with good quality in the inside with poor quality, and can often mix and enter other fine weed and weed leaves which can not be distinguished by air separation.
Therefore, it is necessary to design a sorting mechanism for classifying fresh tea leaves.
Disclosure of Invention
The invention aims to provide a sorting mechanism for distinguishing grades of fresh tea leaves, which is used for solving the problems in the prior art, the fresh tea leaves with high grades can be screened out firstly according to the special wave band of the existing near infrared spectrum, and then are further screened and distinguished through a neural network system, the screening is quick, accurate and effective, and the fresh tea leaves cannot be damaged.
In order to achieve the purpose, the invention provides the following scheme: the invention provides a sorting mechanism for distinguishing grades of fresh tea leaves, which comprises: the sorting box comprises a sorting box and a feeding mechanism; the sorting box is arranged on one side of the feeding mechanism;
the sorting box comprises a box body frame, a vibration feeding mechanism, a first sorting mechanism, a second sorting mechanism, a signal processor and a sensing device; the vibration feeding mechanism is fixedly arranged on the top surface of the box body rack; the bottom end of the top surface of the box body frame is provided with two reinforcing ribs which are obliquely arranged, and the first sorting mechanism and the second sorting mechanism are sequentially limited on the two reinforcing ribs from top to bottom; the first sorting mechanism and the second sorting mechanism are electrically connected with the signal processor through the sensing device; the bottom ends of the two reinforcing ribs are arranged on the base; the signal processor is arranged on the base;
the first sorting mechanism comprises a first shell, a first sliding chute, an air compressor, an air injection device and an infrared spectrum scanning device, wherein the first sliding chute, the air compressor, the air injection device and the infrared spectrum scanning device are arranged in the first shell; the infrared spectrum scanning device is arranged below the first sliding groove, and the light projection direction of the infrared spectrum scanning device is perpendicular to the sliding rail of the first sliding groove; the air compressor and the air injection device are both arranged below the infrared spectrum scanning device; the air injection device is communicated with the air compressor; and the air injection device and the infrared spectrum scanning device are electrically connected with the sensing device.
Preferably, the grade of the fresh tea leaves is mostly distinguished by winnowing, but the invention adopts an infrared spectrum scanning device to scan the fresh tea leaves in a chute, the fresh tea leaves are classified according to different grades of the fresh tea leaves and different special existing wave bands, the classification is uniformly fed back to a signal processor through a sensing device, and when the signal processor detects that the fresh tea leaves are not the wave bands of the single-bud fresh tea leaves, an air injection device is driven to be separated from the original track, the fresh tea leaves enter a material distribution channel, and then fall to a conveying belt corresponding to the center of a base and are collected.
The second sorting mechanism comprises a second shell, a second chute, an air duct, a spray valve and a neural network detection system, wherein the second chute, the air duct, the spray valve and the neural network detection system are arranged in the second shell; the neural network detection system is arranged below the second sliding chute; one end of the air duct extends into the first shell and is communicated with the air compressor, and the other end of the air duct is provided with the spray valve; the spray valve is arranged below the neural network detection system, and the spray valve and the neural network detection system are electrically connected with the sensing device.
Preferably, in the prior art, fresh leaves are often mixed into tender leaves of other plants other than fresh tea leaves during collection, and the tender leaves are distinguished according to sense organs such as vision, touch and the like of a human, however, the sensitivity of the sense organs of the human is easily influenced by the physiological condition at that time, external conditions such as weather, temperature and humidity and the like, and has great subjectivity and randomness; in addition, when the tea leaves are touched, the tea leaves can be damaged, and the quality of the tea leaves is influenced; in view of the above situation, the present invention transmits data obtained by the infrared spectrum scanning device to the neural network detection system in the signal processor for principal component analysis and calculation to obtain an approximate deviation value, transmits the approximate deviation value back to the signal processor, and controls the spray valve to guide the air flow in the air compressor into the air duct for spraying, so that the deviation value is greatly separated from the original track, enters the classification channel, and the rest enters the finished product channel, and then respectively falls to the conveyor belt corresponding to the center of the base, and is collected, thereby achieving the purpose of removing weed and miscellaneous leaves in fresh leaves, and providing scientific support for ensuring the quality of fresh tea leaves.
Preferably, the neural network detection system can adopt an Elman network structure cyclic neural network, and each cyclic layer of the Elman network is independent, so that the design of the network structure can be more flexible.
The vibration feeding mechanism comprises a square hopper and a vibration feeder; the vibration feeder comprises a feeding plate, a connecting rod, a bottom plate and a built-in motor; the feeding plate is hinged with the bottom plate through the connecting rod; the bottom end of the feeding plate faces the top end of the first sliding chute; the built-in motor is arranged on the bottom plate, and the bottom plate is arranged on the top surface of the box body rack; one side face of the square funnel is fixedly connected with the feeding mechanism, and the bottom end of the side face and the bottom end of the feeding plate are both of a wave tooth structure.
Preferably, the fresh tea leaves transferred in the feeding mechanism are vibrated and broken up, so that the identification and classification of a following device are facilitated; the baffle is arranged to prevent the loss of fresh tea leaves; the angle of the feeding plate can be adjusted through the connecting rod according to the requirement.
The first machine shell and the second machine shell are both vertical to the reinforcing rib and are obliquely arranged; the first machine shell is provided with a first through hole for mounting a first sliding chute and a material distributing hole opposite to the air injection device; a material distributing channel is arranged at the material distributing hole; the second shell is provided with a second through hole for mounting a second sliding chute and a classification channel opposite to the spray valve; the first through hole corresponds to the second through hole in position; and a finished product channel is arranged at the bottom of the second through hole.
Preferably, the outlet of the first sliding chute automatically slides into the second sliding chute according to a natural sliding track, and a baffle is arranged at an unnecessary part exposed out of the second sliding chute to prevent the influence of airflow.
Preferably, the inclination angle is 20 degrees, and the arrangement mechanism is inclined by gravity to save cost.
The center of the plane of the base is provided with a through hole; a conveyor belt is arranged below the through hole; three independently operating tracks are arranged on the conveyor belt, and three collecting boxes are correspondingly arranged at the conveying end of each track; the positions of the tracks respectively correspond to the material distributing channel, the classifying channel and the finished product channel.
The first sliding groove and the second sliding groove are both rebounding sliding grooves.
Preferably, the fresh tea leaves are prevented from falling out of the rail above the casing.
And a plurality of transverse partition plates with the same interval are arranged on the ascending track of the feeding mechanism.
Preferably, set up the baffle, can be convenient for control the fresh tea leaf volume of throwing in at every turn, and can be with the great miscellaneous leaf of other volumes directly drop the department track, prevent that the miscellaneous leaf of large tracts of land from getting into the separation box.
The infrared spectrum scanning device can adopt a near infrared spectrometer.
The built-in motor is electrically connected with the signal processor; the feed plate is electrically connected with the sensing device.
Preferably, built-in motor can provide special power supply for signal processor alone as emergency power source, prevents that information data from losing, and signal processor passes through sensing device and can control the vibration frequency of feed plate, controls screening speed, cooperates the angular adjustment of feed plate, and the fresh tea leaf volume that the spout of control entering slope.
The invention discloses the following technical effects: according to the invention, the fresh tea leaves with high grade are firstly screened out according to the special wave band of the near infrared spectrum, and then are further analyzed, screened and distinguished through the neural network system, so that the screening is rapid, accurate and effective, the false picking rate is reduced, the picking rate is increased, the automatic control is realized, the machine sorting efficiency is high, the damage of the fresh tea leaves is avoided, the potential pollution is avoided, and the purpose of clean and standardized processing is achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic view of the structure of the present invention.
FIG. 2 is a schematic view of the structure of the sorting box of the present invention.
Wherein, 1-sorting box, 11-box body frame, 12-reinforcing rib, 13-base, 2-feeding mechanism, 21-transverse clapboard, 3-vibration feeding mechanism, 31-square funnel, 32-vibration feeder, 33-feeding plate, 34-connecting rod, 35-bottom plate, 36-built-in motor, 4-first sorting mechanism, 41-first machine shell, 42-first chute, 43-infrared spectrum scanning device, 44-air compressor, 45-air injector, 46-sorting channel, 5-second sorting mechanism, 51-second machine shell, 52-second chute, 53-air duct, 54-spray valve, 55-neural network detecting system, 56-sorting channel, 57-finished product channel, 6-signal processor, 7-sensing device, 8-conveyor belt and 9-collecting box.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
The invention provides a sorting mechanism for distinguishing grades of fresh tea leaves, which comprises: a sorting box 1 and a feeding mechanism 2; the sorting box 1 is arranged on one side of the feeding mechanism 2;
the sorting box 1 comprises a box body frame 11, a vibration feeding mechanism 3, a first sorting mechanism 4, a second sorting mechanism 5, a signal processor 6 and a sensing device 7; the top surface of the box body frame 11 is fixedly provided with a vibration feeding mechanism 3; two reinforcing ribs 12 which are obliquely arranged are arranged at the bottom end of the top surface of the box body frame 11, and the first sorting mechanism 4 and the second sorting mechanism 5 are sequentially limited on the two reinforcing ribs 12 from top to bottom; the first sorting mechanism 4 and the second sorting mechanism 5 are electrically connected with the signal processor 6 through the sensing device 7; the bottom ends of the two reinforcing ribs 12 are arranged on the base 13; the signal processor 6 is arranged on the base 13;
the first sorting mechanism 4 comprises a first casing 41, a first chute 42 arranged in the first casing 41, an air compressor 44, an air injection device 45 and an infrared spectrum scanning device 43; the infrared spectrum scanning device 43 is arranged below the first sliding chute 42, and the light projection direction of the infrared spectrum scanning device 43 is perpendicular to the sliding rail of the first sliding chute 42; the air compressor 44 and the air injection device 45 are both arranged below the near infrared spectrum scanner 43; the air injection device 45 is communicated with the air compressor 44; the air injection device 45 and the infrared spectrum scanning device 43 are both electrically connected with the sensing device 7.
The second sorting mechanism 5 comprises a second casing 51, a second chute 52 arranged in the second casing 51, an air duct 53, a spray valve 54 and a neural network detection system 55; the neural network detection system 55 is arranged below the second chute 52; one end of the air duct extends into the first casing 41 to be communicated with the air compressor 44, and the other end of the air duct is provided with a spray valve 54; the spray valve 54 is disposed below the neural network detection system 55, and both the spray valve 54 and the neural network detection system 55 are electrically connected to the sensing device 7.
The vibration feeding mechanism 3 comprises a square hopper 31 and a vibration feeder 32; the vibration feeder 32 comprises a feeding plate 33, a connecting rod 34, a bottom plate 35 and an internal motor 36; the feeding plate 33 is hinged with the bottom plate 35 through a connecting rod 34; the bottom end of the feeding plate 33 faces the top end of the first chute 42; the built-in motor 36 is arranged on the bottom plate 35, and the bottom plate 35 is arranged on the top surface of the box body frame 11; one side of the square funnel 31 is fixedly connected with the feeding mechanism 2, and the bottom end of the side and the bottom end of the feeding plate 33 are both in a wave tooth structure.
The first case 41 and the second case 51 are both perpendicular to the reinforcing rib 12 and are arranged obliquely; the first casing 41 is provided with a first through hole for installing the first sliding chute 42 and a material distributing hole opposite to the air injection device 45; a material distributing channel 46 is arranged at the material distributing hole; the second casing 51 is provided with a second through hole for mounting the second chute 52 and a classification channel 56 opposite to the spray valve 54; the first through hole corresponds to the second through hole in position; the bottom of the second through hole is provided with a finished product channel 57.
The center of the plane of the base 13 is provided with a through hole; a conveyor belt 8 is arranged below the through hole; three independently running tracks are arranged on the conveyor belt 8, and three collecting boxes 9 are correspondingly arranged at the conveying end of each track; the track positions correspond to the distribution channel 46, the classification channel 56 and the product channel 57, respectively.
The first runner 42 and the second runner 52 are both rebound runners.
A plurality of transverse clapboards 21 with the same space are arranged on the ascending track of the feeding mechanism 2.
The near infrared spectrum scanner 43 may employ a near infrared spectrometer.
The built-in motor 36 is electrically connected with the signal processor 6; the feeding plate 33 is electrically connected to the sensing device 7.
The invention discloses the following technical effects: according to the invention, the fresh tea leaves with high grade are firstly screened out according to the special wave band of the near infrared spectrum, and then are further analyzed, screened and distinguished through the neural network system, so that the screening is rapid, accurate and effective, the false picking rate is reduced, the picking rate is increased, the automatic control is realized, the machine sorting efficiency is high, the damage of the fresh tea leaves is avoided, the potential pollution is avoided, and the purpose of clean and standardized processing is achieved.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, are merely for convenience of description of the present invention, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
The above-described embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solutions of the present invention can be made by those skilled in the art without departing from the spirit of the present invention, and the technical solutions of the present invention are within the scope of the present invention defined by the claims.
Claims (9)
1. The utility model provides a distinguish sorting mechanism of fresh tea leaf grade which characterized in that includes: the sorting box (1) and the feeding mechanism (2); the sorting box (1) is arranged on one side of the feeding mechanism (2);
the sorting box (1) comprises a box body rack (11), a vibration feeding mechanism (3), a first sorting mechanism (4), a second sorting mechanism (5), a signal processor (6) and a sensing device (7); the vibration feeding mechanism (3) is fixedly arranged on the top surface of the box body frame (11); two reinforcing ribs (12) which are obliquely arranged are arranged at the bottom end of the top surface of the box body frame (11), and the first sorting mechanism (4) and the second sorting mechanism (5) are sequentially limited on the two reinforcing ribs (12) from top to bottom; the first sorting mechanism (4) and the second sorting mechanism (5) are electrically connected with the signal processor (6) through the sensing device (7); the bottom ends of the two reinforcing ribs (12) are arranged on the base (13); the signal processor (6) is mounted on the base (13);
the first sorting mechanism (4) comprises a first machine shell (41), a first sliding chute (42) arranged in the first machine shell (41), an air compressor (44), an air injection device (45) and an infrared spectrum scanning device (43); the infrared spectrum scanning device (43) is arranged below the first sliding chute (42), and the light projection direction of the infrared spectrum scanning device (43) is perpendicular to the sliding rail of the first sliding chute (42); the air compressor (44) and the air injection device (45) are arranged below the infrared spectrum scanning device (43); the air injection device (45) is communicated with the air compressor (44); and the air injection device (45) and the infrared spectrum scanning device (43) are electrically connected with the sensing device (7).
2. The sorting mechanism for grading fresh tea leaves as claimed in claim 1, wherein: the second sorting mechanism (5) comprises a second machine shell (51), a second chute (52) arranged in the second machine shell (51), an air duct (53), a spray valve (54) and a neural network detection system (55); the neural network detection system (55) is arranged below the second chute (52); one end of the air duct (53) extends into the first shell (41) to be communicated with the air compressor (44), and the other end of the air duct is provided with the spray valve (54); the spray valve (54) is arranged below the neural network detection system (55), and the spray valve (54) and the neural network detection system (55) are both electrically connected with the sensing device (7).
3. The sorting mechanism for grading fresh tea leaves as claimed in claim 1, wherein: the vibration feeding mechanism (3) comprises a square hopper (31) and a vibration feeder (32); the vibration feeder (32) comprises a feeding plate (33), a connecting rod (34), a bottom plate (35) and a built-in motor (36); the feed plate (33) is hinged with the bottom plate (35) through the connecting rod (34); the bottom end of the feeding plate (33) faces the top end of the first sliding chute (42); the built-in motor (36) is arranged on the bottom plate (35), and the bottom plate (35) is arranged on the top surface of the box body frame (11); one side surface of the square hopper (31) is fixedly connected with the feeding mechanism (2), and the bottom end of the side surface and the bottom end of the feeding plate (33) are both of a wave tooth structure.
4. The sorting mechanism for grading fresh tea leaves as claimed in claim 2, wherein: the first machine shell (41) and the second machine shell (51) are perpendicular to the reinforcing ribs (12) and are obliquely arranged, and the inclination angles of the first machine shell and the second machine shell are 18-22 degrees; the first shell (41) is provided with a first through hole for installing a first sliding chute (42) and a material distributing hole opposite to the air injection device (45); a material distributing channel (46) is arranged at the material distributing hole; the second machine shell (51) is provided with a second through hole for mounting a second sliding chute (52) and a classification channel (56) opposite to the spray valve (54); the first through hole corresponds to the second through hole in position; and a finished product channel (57) is arranged at the bottom of the second through hole.
5. The sorting mechanism for grading fresh tea leaves as claimed in claim 4, wherein: the center of the plane of the base (13) is provided with a through hole; a conveyor belt (8) is arranged below the through hole; three independent running tracks are arranged on the conveyor belt (8), and three collecting boxes (9) are correspondingly arranged at the conveying end of each track; the track positions respectively correspond to the material distributing channel (46), the classifying channel (56) and the finished product channel (57).
6. The sorting mechanism for grading fresh tea leaves as claimed in claim 2, wherein: the first sliding groove (42) and the second sliding groove (52) are both rebounding sliding grooves.
7. The sorting mechanism for grading fresh tea leaves as claimed in claim 1, wherein: and a plurality of transverse partition plates (21) with the same interval are arranged on the ascending track of the feeding mechanism (2).
8. The sorting mechanism for grading fresh tea leaves as claimed in claim 1, wherein: the infrared spectrum scanning device (43) adopts a near infrared spectrometer.
9. The sorting mechanism for distinguishing the grade of fresh tea leaves as claimed in claim 3, wherein: the built-in motor (36) is electrically connected with the signal processor (6); the feeding plate (33) is electrically connected with the sensing device (7).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010765448.8A CN111842191A (en) | 2020-08-03 | 2020-08-03 | Sorting mechanism for distinguishing grades of fresh tea leaves |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010765448.8A CN111842191A (en) | 2020-08-03 | 2020-08-03 | Sorting mechanism for distinguishing grades of fresh tea leaves |
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| CN111842191A true CN111842191A (en) | 2020-10-30 |
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| CN202010765448.8A Pending CN111842191A (en) | 2020-08-03 | 2020-08-03 | Sorting mechanism for distinguishing grades of fresh tea leaves |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114405862A (en) * | 2022-01-06 | 2022-04-29 | 湖南省水稻研究所 | Method for sorting seeds based on spectral imaging |
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| CN110918480A (en) * | 2019-12-17 | 2020-03-27 | 安徽农业大学 | Grading treatment equipment and grading treatment method for fresh tea leaves |
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| US20080308471A1 (en) * | 2004-08-05 | 2008-12-18 | Reinhold Huber | Method for Detecting and Removing Foreign Bodies |
| CN205914417U (en) * | 2016-08-26 | 2017-02-01 | 福建品品香茶业有限公司 | Tea leaf color selector |
| CN106568738A (en) * | 2016-10-31 | 2017-04-19 | 湖北省农业科学院果树茶叶研究所 | Method of using near infrared spectroscopy to rapidly determine fresh leaves of tea in different quality grades |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114405862A (en) * | 2022-01-06 | 2022-04-29 | 湖南省水稻研究所 | Method for sorting seeds based on spectral imaging |
| CN114405862B (en) * | 2022-01-06 | 2024-03-29 | 湖南省水稻研究所 | Method for sorting seeds based on spectral imaging |
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Application publication date: 20201030 |
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