4518 results about "Tobacco leaf" patented technology

The invention relates to the technical field of tobacco logistics and intelligent control, and discloses an intelligent temperature and humidity regulation and control system and method for tobacco transportation, and the system comprises a multi-dimensional environment sensing module, a self-adaptive strategy generation module and a closed-loop efficiency verification module. The method comprises the following steps: capturing three-dimensional space parameters in a transportation carrier in real time through distributed sensing nodes, outputting a structured environment situation matrix, and providing a space-time reference for a regulation and control decision; after receiving the environmental perception data, executing dynamic strategy optimization, establishing a transportation stage-spatial position two-dimensional regulation and control strategy library, processing sensitivity differences of tobacco leaves in different regions by adopting an asymmetric weighting algorithm, and generating a regulation and control scheme containing a gradient regulation instruction; real-time evaluation and strategy iteration of the regulation and control effect are achieved, microenvironment response detection is deployed, tobacco physical characteristic change data are collected, and a triangular verification model is constructed. The method effectively controls moisture content distribution, inhibits browning and mildew risks, and maximally retains tobacco leaf quality characteristics.

The present invention relates to the field of tobacco breeding, and more particularly to molecular markers for screening for spotted wilt-resistant tobacco plants free of linkage drag and their applications. A method for screening spotted wilt-resistant tobacco plants or germplasm with reduced linkage drag is provided, comprising: (a) screening for spotted wilt-resistant tobacco plants or germplasm and isolating nucleic acid thereof; (b) detecting a first linkage drag locus marker and / or a second linkage drag locus marker in the isolated nucleic acid; the first linkage drag locus marker comprising the NaChr4_2M marker shown in SEQ ID No. 10 and / or the NaChr4_8M marker shown in SEQ ID No. 11; the second linkage drag locus marker comprising the NaChr3_62.6M marker shown in SEQ ID No. 7 and / or the NaChr3_64.6M marker shown in SEQ ID No. 8; and (c) selecting a spotted wilt-resistant tobacco plant or germplasm that does not contain the first linkage drag locus marker and / or the second linkage drag locus marker. This method can be used to obtain spotted wilt-resistant tobacco plants free of linkage drag, providing superior varieties with high spotted wilt resistance for tobacco leaf production.

The invention provides a cigarette station violation operation early warning method and system based on artificial intelligence. The method comprises the following steps: firstly, obtaining a multi-modal monitoring data set of a target cigarette station, wherein the multi-modal monitoring data set comprises tobacco leaf quality, equipment operation logs and environmental parameters; performing time sequence behavior feature extraction on the set to obtain a tobacco processing flow time sequence behavior track sequence, equipment operation compliance and environment abnormal fluctuation feature set, and then calling a pre-trained multi-mode violation identification model to perform dynamic weight distribution on the features to generate a fusion violation feature vector; the method comprises the following steps: obtaining a fusion rule-violation feature vector, determining rule-violation operation probability distribution based on the fusion rule-violation feature vector, further generating a cigarette station rule-violation early warning strategy, finally feeding back the cigarette station rule-violation early warning strategy to a cigarette station supervision terminal, triggering a rule-violation operation interception instruction, and realizing effective early warning and interception of cigarette station rule-violation operation by using multi-modal data and an artificial intelligence technology.

The invention discloses a tobacco leaf bundle loosening degree detection method and system based on YOLOv8, and particularly relates to the technical field of tobacco leaf detection. An illumination sensor is installed in a detection area to monitor illumination intensity changes in real time, automatic camera equipment is combined to collect tobacco image data under different illumination conditions, the tobacco image data are preprocessed, shadow distribution abnormal features and color change amplitude features are extracted, a machine learning model for predicting the detection precision of a YOLOv8 model is trained, and the detection precision of the YOLOv8 model is predicted. According to a precision result output by the model, the detection is divided into a high-precision type and a low-precision type, the high-precision result is directly applied to production, and the low-precision result is used for improving the detection precision of the model by further analyzing an abnormal condition and dynamically adjusting a detection threshold value; the problem of abnormal detection precision caused by complex background and illumination change is effectively solved, the accuracy of tobacco classification is optimized, and the quality control of the production link is improved.

The invention discloses a tea tree CsU3 gene promoter and application thereof, and belongs to the technical field of plant biotechnology and gene engineering. Tea tree RNA polymerase III type promoters-tea tree endogenous U3 gene promoters CsU3a, CsU3b, CsU3c and CsU3d are successfully cloned for the first time, a tea tree U3 gene promoter activity detection carrier is successfully constructed, the transcriptional activities of the four CsU3 promoters are compared through instantaneous tobacco leaf conversion, GUS dyeing and GUS enzyme activity determination, and the CsU3 gene promoter activity detection carrier can be used for detecting the activity of the tea tree U3 gene promoter. CsU3a and CsU6b promoters with strong transcriptional activity are selected to be used for constructing a tea tree gene editing carrier, the feasibility of the promoter applied to a tea tree CRISPR / Cas9 gene editing system is verified in a tea tree protoplast, and CRISPR / Cas9 mediated tea tree genome targeted editing is realized.

The invention relates to the technical field of tobacco leaf storage, in particular to an intelligent regulation and control method and system for a tobacco leaf storage environment, and the method comprises the following steps: based on a tobacco leaf storage bin, fusing temperature, humidity and oxygen concentration sensor data, obtaining environment characteristics, analyzing airflow velocity and stacking density, identifying abnormal regions, counting variety deviation, and carrying out the control grading of associated equipment. And environment regulation and control are optimized. According to the method, multiple types of sensor data are integrated, the environment states of different storage partitions are reflected through space correlation and weighting operation, the sensitive partitions with local abnormity are effectively locked by means of correlation analysis of airflow and stacking density, tobacco variety characteristics and storage stage parameters are combined, grading dynamic recognition of environment sensitive points is achieved, and the method is suitable for large-scale popularization and application. The equipment response sequence is configured in a layered manner, and the regulated and controlled parameter trend adjustment operation is combined, so that the long-term quality stability of various tobacco leaves in the storage space is enhanced, and the quality deviation risk caused by environmental disturbance is reduced.

The invention provides a method for intelligently and accurately judging the color shape state of tobacco leaves in the curing process, and belongs to the technical field of tobacco leaf curing. The method comprises the steps that firstly, near infrared spectrum data and image data of the tobacco leaves are collected to establish a maturity grading standard, and internal chemical component characteristics and external chromaticity morphological characteristics of the tobacco leaves are extracted through preprocessing; respectively carrying out dimensionality reduction on the two types of data by utilizing a principal component analysis method to obtain principal component characteristics of the near infrared spectrum and principal component characteristics of the image; secondly, performing data fusion on the two types of features, performing feature importance weighting by applying a bimodal feature attention model, and learning different modal feature association and mapping relationships through a multi-head self-attention and mutual attention mechanism by the model; and according to the signal-to-noise ratio of the spectral data, the image definition score and the data consistency evaluation value, dynamically adjusting the modal weight, and finally constructing a tobacco state discrimination model based on weighted fusion data to realize accurate discrimination of the maturity grade of the tobacco.

The invention discloses an intelligent tobacco impurity removal method, a storage medium and a system. A material monolayer processing device, an optical imaging unit, a detection processing unit, a time sequence and rejection control unit, an electrical control unit and a blowing electromagnetic valve are adopted to form the tobacco impurity removal method based on the intelligent tobacco impurity removal system of an image. According to the invention, an image recognition technology combining a color search algorithm and an AI intelligent algorithm is used, the types, distribution conditions and the like of sundries in the material can be counted, and according to different weights, forms and motion tracks of the sundries, the track change and floating of the sundries in the flying process are reduced through the algorithm, so that the accuracy of the sundries is improved. Richer and more accurate sundry movement data are provided for execution of subsequent sundry removal actions, and data support is provided for quality control analysis; and sundries in the fragments can be accurately removed, so that the purity of the tobacco leaves is improved.

The invention relates to the technical field of image processing, in particular to a tobacco leaf disease spot segmentation method and system based on multi-scale residual cavity convolution, and the method comprises the steps: collecting a plurality of tobacco leaf disease images as original images, and carrying out the data expansion of each collected original image through an image enhancement method, establishing a training set, a verification set and a test set based on the original image and the extended data; a semantic segmentation model is constructed, the semantic segmentation model is formed by stacking two sub-networks, and the two sub-networks are connected through an ROIE + module; in combination with the training set, training the semantic segmentation model by using the constructed loss function; verifying the trained semantic segmentation model by adopting a verification set, and selecting an optimal semantic segmentation model; the test set is adopted to test the optimal semantic segmentation model, and the performance of the optimal semantic segmentation model is evaluated; and inputting a to-be-segmented tobacco leaf disease image into the trained semantic segmentation model to obtain a tobacco leaf disease spot segmentation map. According to the method, the tobacco leaf scab area can be accurately and efficiently segmented.

The invention relates to bacillus velezensis for producing alpha-amylase from a tobacco source and application of the bacillus velezensis, and belongs to the technical field of microorganisms. The bacillus velezensis for producing the alpha-amylase from the tobacco source is A8-1, and the preservation number of the bacillus velezensis is CCTCC (China Center For Type Culture Collection) NO: M 20232632. The activity of the alpha-amylase produced by the bacillus velezensis A8-1 can reach up to 147.85 + / -0.05 U / mL at the high temperature of 70 DEG C through determination, and the content of tobacco starch in tobacco products can be effectively reduced when the alpha-amylase is applied to the tobacco products, so that the quality of the tobacco products is improved. On one hand, the quality, applicability and utilization rate of low-grade and low-grade tobacco leaves can be improved; on the other hand, the quality grade of tobacco leaves can be improved, and defects of high-quality tobacco leaves are overcome. Meanwhile, valuable microbial resources are provided for the tobacco industry, and a new technology is provided for promoting high-quality development of tobacco industry enterprises.

The invention relates to the technical field of tobacco curing, in particular to a nitrogen preparation and storage oxygen content automatic control system which comprises a purity and pressure joint control module, a humidity regulation and optimization module, an oxygen content dynamic regulation and control module, a moisture response regulation module and a multi-parameter coupling linkage module. According to the system, intelligent dynamic adjustment is achieved through multi-parameter real-time collection and linkage feedback, synchronous judgment and optimal adjustment path formation between the nitrogen outlet purity and the pressure of each compression section, and matching of the airflow temperature, the wet film area and the nitrogen humidity, it is guaranteed that humidification is uniform and controllable in combination with automatic comparison of the outlet humidity and the storage target standard, and the system is suitable for large-scale popularization and application. The nitrogen injection flow rate and the outlet humidity directly participate in the active response process of oxygen content change, self-adaptive balance of the storage oxygen environment is achieved, moisture monitoring penetrates through the surface layer and the interior, temperature setting and the wet film area are finely adjusted along with the moisture state, and the nitrogen humidity state is finely matched with the tobacco leaf requirement.

The invention relates to the technical field of tobacco leaf curing modulation, and discloses a rainy weather tobacco leaf curing temperature and humidity control method and system.The rainy weather tobacco leaf curing temperature and humidity control method comprises the following steps that temperature and humidity data of multiple positions in a tobacco loading chamber of a bulk curing barn are collected and analyzed in real time based on a temperature and humidity sensor; the influence of rainy weather on humiture fluctuation in a tobacco loading chamber of the bulk curing barn is evaluated, the change trend of humiture is identified, and humiture monitoring data is generated; by collecting and analyzing temperature and humidity data of multiple positions in the tobacco loading chamber of the bulk curing barn in real time, the actual influence of air temperature and humidity in rainy weather on the curing environment is evaluated, power input and response of curing heat supply equipment are analyzed and adjusted, the stability and reliability of the curing process under the severe weather condition are ensured, and the curing efficiency is improved. The infrared spectrum sensor is used for monitoring changes of various compounds in the tobacco leaf curing process in real time, curing parameters are adjusted, and the tobacco leaf bulk curing quality is improved.

The invention relates to the technical field of threshing and redrying equipment, in particular to an automatic tobacco flake feeding mechanism and a feeding method.The feeding mechanism is integrally arranged on the upstream of a feeding machine conveying belt and used for automatically grabbing, laying and accurately feeding tobacco flakes in a tobacco frame, and the feeding mechanism comprises a rack, a mechanical arm and a tobacco frame carrying and moving mechanism; a weighing conveyor and a control main board; the rack is erected above the weighing conveyor; the manipulator is arranged above the weighing conveyor and is mounted on the rack; the two tobacco frame carrying and moving mechanisms are arranged below the machine frame and installed on the two sides of the weighing conveyor respectively. Manual operation is completely replaced, upstream and downstream information intercommunication is achieved, and the tobacco feeding efficiency is remarkably improved.

The invention discloses bacillus vallismortis S7 and application thereof to improvement of tobacco leaf quality, and belongs to the technical field of bioengineering. The strain is preserved in the China General Microbiological Culture Collection Center on September 6, 2024, and the preservation number is CGMCC (China General Microbiological Culture Collection Center) No.31894. The strain can produce cellulase at high yield, can inhibit tobacco mould, has the capability of reducing nicotine, and can degrade starch, protein, pectin, cellulose and other macromolecular compounds in tobacco. After the strain or the prepared microbial agent is applied to tobacco leaves, the quality of the tobacco leaves can be improved, and the use value of the tobacco leaves is improved.

The invention discloses a tobacco leaf quality prediction method based on prior feature weight optimization and a CNN-LSTM fusion model and a readable storage medium. Comprising steps; the method comprises the following steps: 1, collecting and preprocessing data; step 2, priori feature weight optimization is carried out; step 3, constructing a CNN-LSTM fusion model; 4, evaluating the model; and step 5, generating a quality evaluation result of the to-be-predicted tobacco leaves, inputting historical production data and images of the to-be-predicted tobacco leaves into the trained CNN-LSTM fusion model, and generating the quality evaluation result of the to-be-predicted tobacco leaves. According to the method, efficient processing of multi-dimensional data in the tobacco leaf redrying process is achieved, and the accuracy of tobacco leaf quality prediction and the stability of the model are remarkably improved.

The invention discloses a production motor operation frequency prediction model training method, which comprises the following steps: acquiring a tobacco image group, extracting tobacco image features by using a three-dimensional point cloud model, converting the tobacco image features into a tobacco cross section area change sequence, dividing production stages, and screening out pre-selected stage information of which the fluctuation ratio meets requirements; synchronously acquiring motor operation information and matching to obtain pre-selected motor information and operation frequency thereof; a Gaussian process regression algorithm is adopted to construct a prediction model, trend features and local fluctuation features are obtained through multi-scale feature extraction to serve as input, the preselected operation frequency serves as an output label for training, and hyper-parameters are optimized to obtain a final prediction model; the established dynamic confidence interval evaluation mechanism can realize model increment training. The operation frequency of the motor is dynamically adjusted according to the actual state of the tobacco leaves, and the drying quality and the batch stability are remarkably improved.

The invention discloses an automatic grabbing and feeding device for tobacco leaf redrying, and relates to the technical field of tobacco leaf production and processing. The device comprises a rotating frame and three telescopic arms, a lifting assembly is mounted outside the telescopic arm; the telescopic arm comprises a fixed seat, four sleeves are fixedly connected to the interior of the fixed seat, sliding rods are movably connected to the interiors of the four sleeves in a sleeved mode, the ends, located outside the sleeves, of the four sliding rods are fixedly connected with a mounting seat, a fixed plate is fixedly connected to the exteriors of the four sleeves, and a first electric cylinder is fixedly connected between the fixed plate and the fixed seat; the lifting assembly comprises a second electric cylinder and a mounting frame, an identification camera is fixedly connected to the interior of the mounting frame, a leaf suction assembly and a cleaning assembly are arranged outside the mounting frame, the leaf suction assembly comprises a fixing pipe, the fixing pipe is fixedly connected to the bottom of the mounting frame, and a suction cup is mounted at the bottom of the fixing pipe. The rotation stroke of the mechanical arm is reduced through rotation of the three telescopic arms, the grabbing efficiency is improved, and tobacco leaves are sucked through the suction cups to guarantee the integrity of the leaves.

The invention discloses a thick slurry method reconstituted tobacco and tobacco shred preparation technology, and belongs to the technical field of tobaccos, the technology utilizes puffing and crushing technologies to treat external fibers to form a light fiber filler with loose and porous inside, the light fiber filler is blended into slurry to adsorb volatile flavor substances and sugar, the surface of the reconstituted tobacco is prevented from being sticky, and the quality of the reconstituted tobacco is improved. Meanwhile, the porosity and combustibility of the thick-slurry-method reconstituted tobacco are improved. Further anti-sticking and high-temperature and high-humidity treatment are carried out on the prepared thick-slurry-method reconstituted tobacco, the filling value of the thick-slurry-method reconstituted tobacco is increased, the thick-slurry-method reconstituted tobacco and tobacco shreds are higher in compatibility and better in combustibility when blended and rolled, and compared with paper-making-method reconstituted tobacco, the thick-slurry-method reconstituted tobacco is high in tobacco effective substance content and small in additional fiber consumption.

The present invention discloses a baking method for the upper leaves of GZ36 flue-cured tobacco, comprising the following steps: S1, judging the baking characteristics of the upper leaves of GZ36 flue-cured tobacco; S2, harvesting fresh tobacco leaves when ripe: harvesting fresh tobacco leaves when ripe according to the ripe characteristics of fresh tobacco leaves in low-altitude areas and high-altitude areas; S3, classifying and stringing fresh tobacco leaves and loading them into the baking barn; S4, baking fresh tobacco leaves: scientifically baking according to the baking characteristics and ripe characteristics of tobacco leaves in different regions, wherein during the yellowing stage, the dry-bulb temperature cyclic rise and fall method is adopted to promote the tobacco leaves to fully soften and wither. By judging the baking characteristics of the upper leaves of GZ36 flue-cured tobacco, formulating key baking strategies, harvesting fresh tobacco leaves when ripe according to the ripe characteristics of fresh tobacco leaves in different regions, classifying and stringing them and loading them into the baking barn, and scientifically baking according to the baking characteristics and ripe characteristics of tobacco leaves under different ecological conditions in different regions, and adopting the dry-bulb temperature cyclic rise and fall method during the yellowing stage to promote the tobacco leaves to fully soften and wither, the internal quality of the upper tobacco leaves after baking of GZ36 can be effectively improved.

The invention discloses pseudomonas TB392 and application thereof in degradation of pectin and generation of flavor substances in tobacco leaves, and belongs to the technical field of biology. The strain is preserved in the China General Microbiological Culture Collection Center on October 16, 2024, and the preservation number is CGMCC (China General Microbiological Culture Collection Center) No.32230. The strain can produce pectinase at high yield, has the capability of reducing nicotine, can degrade macromolecular compounds such as carotenoid, starch, pectin, cellulose and the like in tobacco leaves, and can remarkably improve the content of flavor substances in the tobacco leaves. After the strain or the prepared microbial agent is applied to tobacco leaves, the quality of the tobacco leaves can be improved, and the use value of the tobacco leaves is improved.

According to the film uncovering device and the film uncovering mode, a single-ridge mulching film is firstly separated into two parts through the film uncovering mechanism, then the mulching film is collected from the two sides through the film rolling mechanism, tobacco leaf losses are reduced, and the film uncovering effect is effectively improved; the technical scheme comprises a main body, a transmission mechanism, a film lifting mechanism, a film rolling mechanism, a walking mechanism and a control mechanism, a walking and transmission mechanism is arranged below the main body, a control mechanism is arranged above the main body, and a film lifting mechanism and a film rolling mechanism are arranged at the front end; the film rolling machine fixing plate consists of two vertical beams and a cross beam and is fixed at the front end of the main body; the film lifting mechanism is located below the film rolling mechanism, two adjusting plates are connected to a vertical beam of the fixing plate, one end of each adjusting plate is connected with the fixing plate, the other end of each adjusting plate is provided with a film lifting shovel, and a film cutting blade is arranged at the position close to the film lifting shovel and connected through a connecting roller. A limiting plate is arranged at the lower end of the vertical beam of the fixing plate, and the limiting plate and the adjusting plate form a buried depth adjusting mechanism.

The invention discloses an intelligent tobacco leaf picking manipulator and a picking method.The manipulator comprises a mechanical arm, the tail end of the mechanical arm is provided with a binocular camera and an end effector, the end effector comprises a driving motor, a connecting module, a tobacco leaf cutting mechanical claw and an anti-scraping ball mechanical claw, and the two sets of mechanical claws are arranged in parallel up and down; the tobacco cutting mechanical grippers are arranged in parallel, are connected with an output shaft of the driving motor through a connecting module and are driven by the driving motor to perform opening and closing actions, two concentric circles surrounding a tobacco rod can be formed when the tobacco cutting mechanical grippers are closed, a cutting circle formed by the upper tobacco cutting mechanical grippers is larger than the periphery of the tobacco rod, and an anti-scraping circle formed by the lower anti-scraping ball mechanical grippers makes contact with the periphery of the tobacco rod. During working, the binocular camera positions the position of a tobacco stem and transmits the tobacco stem to the upper computer, the mechanical arm moves the end effector to the positioning position according to position information, the closed mechanical claw surrounds the tobacco stem, and when the anti-scraping ball mechanical claw moves upwards, the tobacco cutting mechanical claw cuts tobacco from bottom to top. The device has the advantages of high picking efficiency, low breakage rate, high adaptability and the like.

The belt-type mobile loader disclosed in the present invention relates to the technical field of transportation equipment; it includes a frame 13, a transportation device, a lifting device and a moving device; the moving device includes a pair of universal wheels 6 and a pair of running wheels 25; the lifting device includes a hydraulic station 16, an oil pipe assembly and two identical lifting cylinder assemblies; A. the universal wheels 6 and the running wheels 25 are respectively installed at the lower position of the front part of the transportation device and the rear end of the frame 13; B. the lower position of the front rear of the transportation device is rotatably hingedly connected to the front end of the frame 13. It has the characteristics of simple and compact structure, convenient use, good stability, safety and reliability, etc. It can be used for the transportation of agricultural and sideline products such as kelp, tobacco leaves, beets, dried hemp, industrial products, semi-finished products and luggage, and is suitable for use in factories, shopping malls, stations, docks and agricultural and sideline products purchasing sites.

The invention discloses an ultra-low illumination tobacco leaf image enhancement method and system based on multi-scale fusion, and belongs to the technical field of tobacco leaf image enhancement. The method comprises the following steps: S1, acquiring extremely low illumination tobacco leaf image data; s2, splitting the colored ultra-low illumination tobacco leaf image into R, G and B color channels; s3, enabling the fuzzy region to be clearer through a histogram equalization method, and obtaining a first image; s4, adapting to different illumination conditions by using a dual Gamma correction algorithm, and improving visual consistency to obtain a second image; s5, using an improved CLAHE algorithm to retain channels and collaterals of the flue-curing barn tobacco leaf image, and improving the image quality to obtain a third image; and S6, using a detail enhancement algorithm to improve specific area details of the curing barn tobacco leaf image, and retaining detail features to finally obtain a curing barn tobacco leaf curing enhancement image. Through the combination of various algorithms, the tobacco leaf image can be effectively enhanced even under the extremely low illumination conditions of serious degradation such as low signal-to-noise ratio, detail information loss and color distortion.

The invention provides a tobacco leaf grade intelligent classification and quality evaluation method and system based on machine vision, and relates to the technical field of grade classification, and the method comprises the steps: collecting a tobacco leaf multi-angle image to obtain three-dimensional point cloud data, calculating the size, shape contour, surface fluctuation, color distribution and texture trend information of a leaf, and constructing a multi-scale feature descriptor; recursive feature screening is adopted to obtain an optimal weight coefficient, and a comprehensive evaluation index is generated; and determining the tobacco quality grade based on a preset grading threshold. According to the method, objective quantitative evaluation of the tobacco leaf quality is realized, the classification precision is improved, and the subjective difference of manual discrimination is reduced.

The invention provides an intelligent precise baking method and system for improving the tobacco leaf quality, and belongs to the technical field of tobacco leaf baking. The method comprises the steps that a basic process parameter set is established, and domain division is conducted according to the tobacco leaf maturity; acquiring a basic process parameter set in real time; constructing a first optimization vector, and determining a weight contribution rate through an intelligent process adaptation model; constructing a second optimization vector through a machine vision and near infrared spectrum fusion technology; establishing a stable change threshold judgment mechanism to start parameter adjustment; performing internal iterative optimization processing on the first optimization vector; calculating a process effect contribution rate; and intelligent and accurate parameter adjustment is realized through a gating weight function of the intelligent process adaptation model. The system comprises a curing barn structure unit, an environment sensing unit, a tobacco leaf information acquisition unit, a data processing unit and a control execution unit, all the units are integrated into a complete system through an industrial bus, and whole-process closed-loop management from environment sensing, tobacco leaf state monitoring to intelligent control is achieved.

The invention provides a tobacco leaf drying kinetic model-based baking process parameter optimization method, and belongs to the technical field of electrical digital data process.The tobacco leaf drying kinetic model-based baking process parameter optimization method comprises the following steps of: firstly, establishing a tobacco leaf drying differential equation model and a curing barn computational fluid mechanics model; temperature and humidity field distribution is obtained through simulation analysis; calculating a tobacco leaf surface heat and mass transfer coefficient, and establishing a moisture migration prediction function; a moisture transfer optimization function is introduced to perform parameter preliminary screening, and a pre-trained quality evaluation neural network model is adopted to evaluate a parameter scheme; respectively optimizing three stages of a yellowing stage, a color fixing stage and a stem drying stage to form a parameter set; and finally, an optimal parameter combination is searched by applying a genetic algorithm, an optimization target is a comprehensive score of tobacco leaf quality consistency and energy consumption, real-time optimization of parameters in the baking process is realized, and the technical problem that tobacco leaf baking process parameters are difficult to accurately optimize aiming at different tobacco leaf characteristics in the prior art is solved.

The invention discloses a baking method suitable for upper leaves of a flue-cured tobacco variety K326. The method comprises the following steps: S1, harvesting upper leaves of mature tobacco plants and loading them into a tobacco loading chamber of a flue-curing barn; and S2, baking the loaded upper leaves, wherein the baking comprises an early yellowing stage, a middle yellowing stage, a late yellowing stage, an early color fixation stage, a middle color fixation stage, a late color fixation stage, and a tendon drying stage. The dry-bulb temperature steadily increases in the seven stages of the early yellowing stage, the middle yellowing stage, the late yellowing stage, the early color fixation stage, the middle color fixation stage, the late color fixation stage, and the tendon drying stage. The wet-bulb temperature exhibits a "V"-shaped change in the five stages of the middle yellowing stage, the late yellowing stage, the early color fixation stage, the middle color fixation stage, and the late color fixation stage. In the middle yellowing stage and the late yellowing stage, the dry-bulb temperature remains unchanged, showing "double 39-40°C and double 41-42°C", respectively, while the wet-bulb temperature decreases by 0.5-1°C in the latter stage of each stage. The method bakes the upper leaves, significantly reducing the ash content and proportion of the upper leaves, increasing the hue of the tobacco leaves, and improving the proportion of tobacco leaf grades, thereby significantly improving the baking quality of the upper leaves and the income of tobacco farmers.

The utility model discloses a suspension type rotary tillage, ridging, fertilization and film mulching all-in-one machine which comprises a rack, a cultivation device, a ridging device, a fertilization device, a film mulching device and a soil covering device, wherein the cultivation device, the ridging device, the fertilization device, the film mulching device and the soil covering device are arranged on the rack. The cultivation device comprises a cutter shaft, a rotary tillage cutter and a rotary driving mechanism; the ridging device comprises a ridging cutter and a ridging piece; the fertilizing device comprises a fertilizer box and a fertilizer feeder; in the operation advancing direction, the film mulching device is arranged behind the ridging device, and the soil covering device is arranged behind the film mulching device; the film covering device comprises a mold hanging frame, a film covering roller and a film pressing wheel; and the soil covering device comprises a soil covering wheel. The suspension type rotary tillage, ridging, fertilization and film mulching all-in-one machine can achieve tilling, ridging, fertilization and film mulching work, is higher in automation degree and intelligent degree, can improve production efficiency, relieve burden of workers, improve planting efficiency and reduce labor cost, and therefore promotes the mechanization process of the whole tobacco planting process.

The invention provides a tobacco area nitrogen management and efficiency evaluation system, which comprises a data acquisition module for acquiring meteorological data, soil nitrogen data, crop growth data and historical fertilization data in real time; the data preprocessing module is used for carrying out noise filtering, space-time alignment and multi-source data fusion; the dynamic nitrogen prediction module is coupled with the soil nitrogen migration and crop absorption model to generate a prediction value; the optimization decision module is used for generating an application strategy based on a dynamic programming algorithm and calculating the optimal application amount and the fertilization time; the efficiency evaluation module is used for calculating nitrogen utilization efficiency (NUE) and environmental benefit index (EBI) by combining the application amount, the environmental loss amount and the crop yield; the self-adaptive feedback module is used for dynamically correcting prediction model parameters according to the deviation degree of the NUE and the EBI; and the visual output module is used for generating a multi-dimensional evaluation report and a fertilization decision map. The nitrogen utilization efficiency and the environmental benefit index can be improved, the environmental risk is reduced, and the tobacco yield and quality are improved.