CN103760111A - Tobacco leaf picking monitoring method - Google Patents
Tobacco leaf picking monitoring method Download PDFInfo
- Publication number
- CN103760111A CN103760111A CN201410016924.0A CN201410016924A CN103760111A CN 103760111 A CN103760111 A CN 103760111A CN 201410016924 A CN201410016924 A CN 201410016924A CN 103760111 A CN103760111 A CN 103760111A
- Authority
- CN
- China
- Prior art keywords
- tobacco leaf
- won
- ratio
- analyze
- supervising
- 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
Landscapes
- Manufacture Of Tobacco Products (AREA)
Abstract
The invention relates to the field of agriculture, and particularly relates to a tobacco leaf picking monitoring method. The tobacco leaf picking monitoring method comprises the following steps: weighing lengths of tobacco leaves to be picked to obtain length values; measuring the foliar damage ratio of the tobacco leaves to be picked to obtain damage values; obtaining the mature color ratio of the tobacco leaves to be picked; and analyzing according to the length values, the damage values and the mature color ratio to obtain a monitoring result, wherein the monitoring result comprises picking of the tobacco leaves or no picking of the tobacco leaves. The tobacco leaf picking monitoring method provided by the invention can facilitate the industrialized cyclic operation, improve science and accuracy in tobacco leaf picking and further improve the quality of flue-cured tobacco.
Description
Technical field
The present invention relates to agriculture field, in particular to tobacco leaf, win method for supervising.
Background technology
The factor that determines Flue-cured tobacco Quality is a lot, the quality that wherein comparatively crucial factor is fresh tobacco leaf, the quality of fresh tobacco leaf has the plucking time that depends primarily on fresh tobacco leaf, if also prematurity of fresh tobacco leaf is toasted by harvesting, the water percentage of tobacco leaf is larger, dry-matter accumulation is less, is difficult for baking, cured tobacco leaf poor quality, if fresh tobacco leaf is too ripe, just plucked, the water percentage of fresh tobacco leaf own is low, and dry in-fighting is too much, and cured tobacco leaf quality is also poor.And the plucking time of tobacco leaf is mainly artificial definite at present, and " people " is that personalization is strong, changeability is the strongest, and therefore, the quality of tobacco of harvesting varies, and directly causes Flue-cured tobacco Quality uncontrollable.
Summary of the invention
The object of the present invention is to provide tobacco leaf to win method for supervising, to solve because tobacco leaf is plucked the inaccurate skimble-scamble problem of Flue-cured tobacco Quality that causes.
Provide in an embodiment of the present invention a kind of tobacco leaf to win method for supervising, having comprised:
The length that measures tobacco leaf to be won, obtains length value;
Described in measurement, the damaged ratio in the blade face of tobacco leaf to be won, obtains damaged value;
The ripe color-ratio of tobacco leaf to be won described in obtaining;
According to described length value, described damaged value, described ripe color-ratio, analyze, draw monitored results, described monitored results comprises: win tobacco leaf or do not win tobacco leaf.
In certain embodiments, be preferably, described in tobacco leaf to be won be the more than one tobacco leaf of randomly drawing from the tobacco leaf of farmland planting.
In certain embodiments, be preferably, described in obtain described in the ripe color-ratio of tobacco leaf to be won comprise: the scan image of tobacco leaf to be won described in scanning; By described scan image and Mature Tobacco Leaves with reference to image ratio, obtain the ripe color-ratio of tobacco leaf to be won.
In certain embodiments, be preferably, described color comprises: blade face color and/or vein color.
In certain embodiments, be preferably, describedly according to described length value, described damaged value, described ripe color-ratio, also analyze and comprise: according to the one-tenth of described tobacco leaf, analyze for a long time.
In certain embodiments, be preferably, described according to described length value, described damaged value, described ripe color-ratio, analyze before, described tobacco leaf is won method for supervising and is also comprised: the mesophyll fraction void of tobacco leaf to be won described in detection; , describedly according to described length value, described damaged value, described ripe color-ratio, also analyze and comprise: according to described mesophyll fraction void, analyze.
In certain embodiments, be preferably, described according to described length value, described damaged value, described ripe color-ratio, analyze before, described tobacco leaf is won method for supervising and is also comprised: the elasticity that detects tobacco leaf to be won; , describedly according to described length value, described damaged value, described ripe color-ratio, also analyze and comprise: according to described elasticity, analyze.
In certain embodiments, be preferably, described according to described length value, described damaged value, described ripe color-ratio, analyze before, described tobacco leaf is won method for supervising and is also comprised: the thickness of determining tobacco leaf; , describedly according to described length value, described damaged value, described ripe color-ratio, also analyze and comprise: according to the thickness of described tobacco leaf, analyze.
The tobacco leaf that the embodiment of the present invention provides is won method for supervising, by the damaged ratio in length, blade face of tobacco leaf to be won, ripe color-ratio, determine whether to win the monitored results of tobacco leaf, the index of winning tobacco leaf is quantized, facilitate industrialization cycling, improve the science that tobacco leaf is won, accuracy, and then further improved the quality of flue-cured tobacco.
Embodiment
Below by specific embodiment, the present invention is described in further detail.
Consider that current tobacco leaf plucking time is artificial definite, cause tobacco leaf plucking time not accurate enough, the huge problem of Flue-cured tobacco Quality difference of preparing after tobacco leaf baking, the embodiment of the present invention provides a kind of tobacco leaf to win method for supervising, comprising:
The length that measures tobacco leaf to be won, obtains length value;
The damaged ratio in blade face of measuring tobacco leaf to be won, obtains damaged value;
Obtain the ripe color-ratio of tobacco leaf to be won;
According to length value, damaged value, ripe color-ratio, analyze, draw monitored results, monitored results comprises: win tobacco leaf or do not win tobacco leaf.
By the damaged ratio in length, blade face of tobacco leaf to be won, ripe color-ratio, determine whether to win the monitored results of tobacco leaf, the index of winning tobacco leaf is quantized, facilitate industrialization cycling, improved the science that tobacco leaf is won, accuracy, and then further improve the quality of flue-cured tobacco.
Next, said method is being further described in more detail:
Step 102, the more than one tobacco leaf of randomly drawing from the tobacco leaf of farmland planting, is defined as tobacco leaf to be won;
Because tobacco leaf planting time, applying fertilizer, the absorption nutrient of same farmland planting are all comparatively unified, choose at random the science, the accuracy that more embody this method for supervising.The amount of randomly drawing is preferably based on 30-60 sheet fresh tobacco leaf.
Step 104, measures the length of tobacco leaf to be won, and obtains length value;
The length of tobacco leaf is along with the growth of tobacco leaf progressively increases, and adopting the length of tobacco leaf to weigh tobacco leaf plucking time is science comparatively.
Step 106, measures the damaged ratio in blade face of tobacco leaf to be won, and obtains damaged value;
The breakage rate of tobacco leaf is along with the growth meeting of tobacco leaf is more and more obvious, because early stage tobacco leaf is because water cut is large, elasticity is stronger, be subject to certain impact and can avoid destroying, still, if tobacco leaf grows to a certain degree, because blade face area is large, elasticity weakens, and water cut reduces, and is subject to impulsive force very easily destroyed.Therefore, adopt damaged value to weigh the comparatively science of plucking time of tobacco leaf.
Step 108, scans tobacco leaf to be won and obtains scan image; By scan image and Mature Tobacco Leaves with reference to image ratio, obtain the ripe color-ratio of tobacco leaf to be won;
Use at present comparatively superb scanning technique (such as: take pictures), and image comparison techniques, the very easy ratio of extracting ripe color in tobacco leaf to be won.
Along with the growth of tobacco leaf, the blade face of tobacco leaf, vein color can have greatly changed, and the blade face, the vein color that still grow to certain phase tobacco leaf possess unitarity, therefore, according to ripe color-ratio, determine comparatively science of tobacco leaf plucking time.
Color comprises blade face color and/or vein color.Color, with the variation tendency of degree of ripeness, sees the following form 1.
Table 1 tobacco leaf color is with the variation tendency of degree of ripeness
| Degree of ripeness (%) | Color description |
| 100% | The full Huang of leaf look, master pulse, one-level offshoot are entirely white |
| 90% | Ye Sejiben is complete yellow, master pulse is entirely white |
| 80% | Leaf look 8-9 becomes Huang, master pulse 2/3 to turn white |
| 70% | Leaf look 6-7 one-tenth is yellow, master pulse is slightly white |
| 60% | Leaf look yellowish green |
| 50% | Leaf look light green |
| 40% | Dark green leaf color |
| 30% | Improper color performance is greater than 10% |
Step 110, the one-tenth of transferring tobacco leaf is long-time;
Because the one-tenth of tobacco leaf is always monitored and record for a long time, therefore, the one-tenth of tobacco leaf is very easy to transfer for a long time.And tobacco leaf is along with the prolongation of growth time, progressively ripe, so, adopt into and determine that plucking tobacco leaf is science comparatively for a long time.
Step 112, detects the mesophyll fraction void of tobacco leaf to be won;
In tobacco leaf developmental process, the fraction void of mesophyll can change, and the mesophyll fraction void of growing up, reach the tobacco leaf of identical degree of ripeness with first phase is constant, therefore, utilizes the mesophyll fraction void of tobacco leaf to carry out the comparatively science of determining of tobacco leaf plucking time.
Step 114, detects the elasticity of tobacco leaf to be won;
The same analysis, owing to containing a large amount of moisture content in tobacco leaf, in the process that tobacco leaf is grown up can there is larger variation in water cut, but the water percentage of the tobacco leaf of identical degree of ripeness is basic identical, therefore utilizes the elasticity of tobacco leaf to determine comparatively science of tobacco leaf plucking time.
Mesophyll fraction void, elasticity are with the variation tendency of degree of ripeness, in Table 2:
Table 2 mesophyll fraction void, elasticity are with the variation tendency of degree of ripeness
| Degree of ripeness (%) | Mesophyll fraction void, elasticity |
| 100% | Loose, full of elasticity, a large amount of ripe spots |
| 90% | Loose, flexible, have a ripe spot |
| 80% | Loose, slightly elasticity, slightly ripe spot |
| 70% | Slightly loose, elasticity slightly |
| 60% | Slightly loose, slightly hard |
| 50% | Slightly close, slightly hard, |
| 40% | Slightly close, firmly crisp, |
| 30% | Breakage, scab etc. are greater than 20% |
Known according to table 2, can also determine by ripe spot the plucking time of tobacco leaf.
Step 116, determines the thickness of tobacco leaf;
The same analysis, tobacco leaf is along with growth, tobacco leaf can progressively thicken, still, along with tobacco leaf by maturation to transition maturation, the thickness of tobacco leaf is on a declining curve.But the water percentage of the tobacco leaf of identical degree of ripeness is basic identical, thickness is basic identical, therefore, utilizes the thickness of tobacco leaf to determine comparatively science of tobacco leaf plucking time.
The thickness of tobacco leaf is with the variation tendency of degree of ripeness, in Table 3
The thickness of table 3 tobacco leaf is with the variation tendency of degree of ripeness
| Degree of ripeness (%) | The thickness on blade face |
| 100% | Medium, substantial, shrinkage |
| 90% | Medium |
| 80% | Middle isogonic thin (thick) |
| 70% | Slightly thin (thick) |
| 60% | Base portion slightly thin (thick) |
| 50% | Thin (thick) |
| 40% | Light (thorn firmly) |
| 30% | Nutritional deficiency or harm influence, machinery wound etc. are greater than 20% |
Step 118, more than three index according to the one-tenth of length value, damaged value, ripe color-ratio, tobacco leaf for a long time, in the thickness of mesophyll fraction void, elasticity, tobacco leaf is analyzed, and draws monitored results.
This monitored results comprises: win tobacco leaf or do not win tobacco leaf.
When tobacco leaf is ripe, above-mentioned each index can keep the consistance of height, therefore, in order to determine more accurately the plucking time of tobacco leaf, three or more indexs fully need to be compared, analyzes, and draws monitored results.
The maturation performance of tobacco leaf is the closest with cured tobacco leaf relationship between quality: color performance is in close relations with cured tobacco leaf, and strong with maturation performance consistance.The fraction void of mesophyll, blade face elastic index to cured tobacco leaf just group rate have considerable influence, have correlativity with maturation performance, also relevant with the concrete grade of cured tobacco leaf; Vane thickness is with just group rate relation is relatively little, but larger with the quality relation of cured tobacco leaf; In special tobacco leaf performance, except de-fertile tobacco leaf and breakage, all directly cause tobacco leaf roasting rear with low quality, can be used as veto by one vote formula key element, de-fertilizer and the breakage of worm hole etc. are little to appearance effects after roasting, but affect concrete deciding grade and level, can be used as restrictive factor; The length value of fresh cigarette can be according to the shrinkage ratio of different parts, as restrictive factor.
The index of winning tobacco leaf is quantized, facilitate industrialization cycling, improved the science that tobacco leaf is won, accuracy, and then further improve the quality of flue-cured tobacco.
These are only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (8)
1. tobacco leaf is won a method for supervising, it is characterized in that, comprising:
The length that measures tobacco leaf to be won, obtains length value;
Described in measurement, the damaged ratio in the blade face of tobacco leaf to be won, obtains damaged value;
The ripe color-ratio of tobacco leaf to be won described in obtaining;
According to described length value, described damaged value, described ripe color-ratio, analyze, draw monitored results, described monitored results comprises: win tobacco leaf or do not win tobacco leaf.
2. tobacco leaf according to claim 1 is won method for supervising, it is characterized in that, described in tobacco leaf to be won be the more than one tobacco leaf of randomly drawing from the tobacco leaf of farmland planting.
3. tobacco leaf according to claim 1 is won method for supervising, it is characterized in that, described in obtain described in the ripe color-ratio of tobacco leaf to be won comprise:
The scan image of tobacco leaf to be won described in scanning;
By described scan image and Mature Tobacco Leaves with reference to image ratio, obtain the ripe color-ratio of tobacco leaf to be won.
4. tobacco leaf according to claim 3 is won method for supervising, it is characterized in that, described color comprises: blade face color and/or vein color.
5. tobacco leaf according to claim 1 is won method for supervising, it is characterized in that,
Describedly according to described length value, described damaged value, described ripe color-ratio, also analyze and comprise: according to the one-tenth of described tobacco leaf, analyze for a long time.
6. according to the tobacco leaf described in claim 1-5 any one, win method for supervising, it is characterized in that, described according to described length value, described damaged value, described ripe color-ratio, analyze before, described tobacco leaf is won method for supervising and is also comprised: the mesophyll fraction void of tobacco leaf to be won described in detection;
, describedly according to described length value, described damaged value, described ripe color-ratio, also analyze and comprise: according to described mesophyll fraction void, analyze.
7. according to the tobacco leaf described in claim 1-5 any one, win method for supervising, it is characterized in that, described according to described length value, described damaged value, described ripe color-ratio, analyze before, described tobacco leaf is won method for supervising and is also comprised: the elasticity that detects tobacco leaf to be won;
, describedly according to described length value, described damaged value, described ripe color-ratio, also analyze and comprise: according to described elasticity, analyze.
8. according to the tobacco leaf described in claim 1-5 any one, win method for supervising, it is characterized in that, described according to described length value, described damaged value, described ripe color-ratio, analyze before, described tobacco leaf is won method for supervising and is also comprised: the thickness of determining tobacco leaf;
, describedly according to described length value, described damaged value, described ripe color-ratio, also analyze and comprise: according to the thickness of described tobacco leaf, analyze.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410016924.0A CN103760111B (en) | 2014-01-14 | 2014-01-14 | tobacco leaf picking monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410016924.0A CN103760111B (en) | 2014-01-14 | 2014-01-14 | tobacco leaf picking monitoring method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103760111A true CN103760111A (en) | 2014-04-30 |
| CN103760111B CN103760111B (en) | 2017-01-04 |
Family
ID=50527386
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410016924.0A Active CN103760111B (en) | 2014-01-14 | 2014-01-14 | tobacco leaf picking monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103760111B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103960760A (en) * | 2014-05-05 | 2014-08-06 | 中国农业科学院烟草研究所 | Method for judging ripening enduring capacity of flue-cured tobacco |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102323221A (en) * | 2011-05-31 | 2012-01-18 | 河南农业大学 | Tobacco maturity detection method and device |
| WO2012073507A1 (en) * | 2010-12-02 | 2012-06-07 | 日本電気株式会社 | System, device, method and program for measurement of leaf area index |
| CN202770762U (en) * | 2012-06-07 | 2013-03-06 | 四川聚友生态农业科技有限公司 | Plant leaf change monitoring device |
| CN103245625A (en) * | 2013-05-24 | 2013-08-14 | 贵州省烟草科学研究院 | Method for nondestructive detection on maturity of fresh flue-cured tobacco leaves |
| CN103323455A (en) * | 2013-04-24 | 2013-09-25 | 南京文采科技有限责任公司 | Tobacco leaf grading method based on reflection, perspective and microscopic images |
-
2014
- 2014-01-14 CN CN201410016924.0A patent/CN103760111B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012073507A1 (en) * | 2010-12-02 | 2012-06-07 | 日本電気株式会社 | System, device, method and program for measurement of leaf area index |
| CN102323221A (en) * | 2011-05-31 | 2012-01-18 | 河南农业大学 | Tobacco maturity detection method and device |
| CN202770762U (en) * | 2012-06-07 | 2013-03-06 | 四川聚友生态农业科技有限公司 | Plant leaf change monitoring device |
| CN103323455A (en) * | 2013-04-24 | 2013-09-25 | 南京文采科技有限责任公司 | Tobacco leaf grading method based on reflection, perspective and microscopic images |
| CN103245625A (en) * | 2013-05-24 | 2013-08-14 | 贵州省烟草科学研究院 | Method for nondestructive detection on maturity of fresh flue-cured tobacco leaves |
Non-Patent Citations (1)
| Title |
|---|
| 杨庆民等: "烤烟分级技术", 《河北农业科技》, no. 09, 30 September 1988 (1988-09-30), pages 9 - 10 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103960760A (en) * | 2014-05-05 | 2014-08-06 | 中国农业科学院烟草研究所 | Method for judging ripening enduring capacity of flue-cured tobacco |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103760111B (en) | 2017-01-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103278458B (en) | A kind of fast non-destructive detection method of flue-cured tobacco harvest maturity | |
| CN104931430B (en) | A kind of redried natural alcoholization quality evaluation and model building method | |
| CN103245619A (en) | Nondestructive testing method for maturity level of organic flue-cured tobacco leaves at late growth stage | |
| Kikuzawa et al. | Effect of canopy structure on degree of asymmetry of competition in two forest stands in northern Japan | |
| CN102183617A (en) | Method for measuring harvest maturity of tobacco leaves | |
| Carus | Impact of defoliation by the pine processionary moth (Thaumetopoea pityocampa) on radial, height and volume growth of Calabrian pine (Pinus brutia) trees in Turkey | |
| CN111612777A (en) | Soybean mapping method based on leaf aging and water loss index | |
| Espírito-Santo et al. | Abundance of Neopelma baccharidis (Homoptera: Psyllidae) galls on the dioecious shrub Baccharis dracunculifolia (Asteraceae) | |
| CN109540894A (en) | A kind of lossless rapid detection method of cured tobacco leaf maturity | |
| CN103245625A (en) | Method for nondestructive detection on maturity of fresh flue-cured tobacco leaves | |
| CN105371956A (en) | Colorimetric mature harvesting method via flue-cured tobacco color card | |
| CN108108872B (en) | Method for accurately judging fruit maturity of Feizixiao litchi | |
| CN103760111A (en) | Tobacco leaf picking monitoring method | |
| Yen | Relationships of Chamaecyparis formosensis crown shape and parameters with thinning intensity and age | |
| CN103245618B (en) | A kind of fast non-destructive detection method of organic cured tobacco leaf degree of ripeness | |
| CN112541659A (en) | Agricultural planting agricultural product quality information acquisition sharing system based on big data | |
| Christensen | Response of'Thompson Seedless' Grapevines to the Timing of Preharvest Irrigation Cut-Off | |
| CN116267482A (en) | Three-time harvesting method for flue-cured tobacco in rice stubble | |
| CN106248591A (en) | A kind of Maturity of Tobacco Leaf differentiation utensil and differentiating method thereof | |
| CN110118700A (en) | A kind of method of non-destructive prediction corn kernel moisture content | |
| CN109005933A (en) | The collecting method of red kiwi fruit and the detection method of picking time | |
| CN104126347A (en) | Method for detecting seed maturity and method for picking mature seeds | |
| CN107211650A (en) | A kind of tobacco leaf picking method and its application | |
| CN114931230B (en) | Process execution index analysis characterization method for tobacco leaf baking process | |
| CN112931916B (en) | Selection method for wet bulb temperature in yellowing stage of flue-cured tobacco baking process |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |