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CN-121986622-A - Comprehensive treatment method and system for improving germination rate of epimedium seeds

CN121986622ACN 121986622 ACN121986622 ACN 121986622ACN-121986622-A

Abstract

The application discloses a comprehensive treatment method and a system for improving the germination rate of epimedium seeds, wherein the method comprises the steps of S1, intelligently judging a harvesting period, S2, carrying out standardized after-ripening treatment, namely, putting the harvested seeds with fruits in a ventilation environment with the temperature of 20-22 ℃ and the humidity of 50-60% for in-vitro after-ripening, turning over every day until the fruit state reaches a preset after-ripening end point, S3, carrying out dynamic controlled atmosphere storage, namely, mixing the seeds after the after-ripening treatment with sterilized river sand, storing in an air-conditioned environment with the temperature of 6-10 ℃ C, CO 2 % and the concentration of 5%, carrying out regular ventilation, and simultaneously adding vitamin E antistaling agent into a mixed matrix, S4, carrying out dormancy breaking and germination acceleration, and S5, carrying out process monitoring and parameter optimization. The application overcomes the limitation of simply relying on appearance experience by constructing a dual-channel intelligent judgment model of image morphology recognition and physiological index (soluble sugar) detection, combines morphology maturation with physiological maturation indexes, ensures the optimal initial quality of harvested seeds, and lays a foundation for high germination rate from the source.

Inventors

  • SU WENYIN
  • WANG XU
  • WEN LI
  • ZHANG SHIJIE

Assignees

  • 会理佳禾农业有限责任公司

Dates

Publication Date
20260508
Application Date
20260128

Claims (10)

  1. 1. The comprehensive treatment method for improving the germination rate of the epimedium seeds is characterized by comprising the following steps of: S1, intelligently judging a harvesting period, namely collecting an image of fruits to be harvested and detecting the content of soluble sugar in seeds of the fruits to be harvested, and judging to enter an optimal harvesting period and executing harvesting when the image is identified to meet a preset morphological maturity standard and the content of the soluble sugar reaches 12% -15%; S2, carrying out standardized post-ripening treatment, namely placing the harvested seeds with fruits in a ventilation environment with the temperature of 20-22 ℃ and the humidity of 50-60% for in-vitro post-ripening, and turning over every day until the state of the fruits reaches a preset post-ripening end point; S3, dynamic modified atmosphere storage, namely mixing the seeds after post-ripening treatment with sterilized river sand, storing in a modified atmosphere environment with the concentration of 5% at the temperature of 6-10℃, CO 2 , regularly ventilating, and simultaneously adding vitamin E preservative into the mixed matrix; S4, dormancy breaking and germination accelerating, wherein the dormancy breaking comprises physiological dormancy breaking and morphological dormancy breaking; S5, process monitoring and parameter optimization, namely, in the post-ripening treatment, storage and germination accelerating processes, monitoring environmental parameters in real time, periodically sampling and detecting physiological and biochemical indexes of seeds, and dynamically optimizing treatment parameters of each stage through a machine learning model based on historical and real-time monitoring data.
  2. 2. The comprehensive treatment method for improving the germination rate of epimedium seeds according to claim 1, wherein the intelligent judgment of the harvest time in S1 adopts a two-channel parallel detection and information fusion strategy, and the comprehensive treatment method comprises the following steps: the first channel is used for detecting the content of soluble sugar in seeds based on a handheld digital refractometer, and generating a physiological maturity standard signal when the average value of continuous multipoint detection is stabilized between 12.0% and 15.0%; A second channel, which is to collect images of fruits and seeds based on an image collection terminal, identify the morphological maturity through color space conversion, feature extraction and a classifier model, and generate a morphological maturity standard signal when the color matching degree of the peel is more than 90%, the identification rate of the microcrack of the fruit flap is more than 80%, and the peel is light brown and the texture is clear; and only when the two-channel signals reach the standard at the same time, judging the optimal harvesting period.
  3. 3. The comprehensive treatment method for improving the germination rate of epimedium seeds according to claim 1, wherein the dynamic air-conditioning storage in the step S3 adopts a packaging bag or an intelligent air-conditioning box with a gas exchange membrane, a built-in gas sensor monitors the concentrations of O 2 and CO 2 in real time, and a PID controller is used for maintaining a low-oxygen high-carbon environment with the concentration of O 2 of 3-5% and the concentration of CO 2 of 5-8%.
  4. 4. The comprehensive treatment method for improving germination rate of epimedium seeds according to claim 1, wherein S4 comprises: S4.1, breaking physiological dormancy, namely soaking the materials in 0.5mg/L GA 3 solution for 8 hours; s4.2, morphological dormancy breaking, wherein the method comprises three stages, namely a first stage of 15-18 ℃ dark environment lasting 10 days, a second stage of 4-6 ℃ low-temperature lamination for 30 days, and a third stage of 20-22 ℃ intelligent germination accelerating environment with illumination of 1500-2000 Lux.
  5. 5. The comprehensive treatment method for improving the germination rate of epimedium seeds according to claim 1, wherein the machine learning model in S5 adopts a support vector regression algorithm, is trained based on historical batch data, and is used for predicting and optimizing treatment parameters of each stage so as to improve the final germination rate.
  6. 6. An integrated treatment system for improving the germination rate of epimedium seeds, which is characterized in that the system is applied to the integrated treatment method for improving the germination rate of epimedium seeds according to any one of the claims 1 to 6, and comprises the following steps: the intelligent monitoring and decision-making module is used for performing intelligent judgment of the harvesting period in the step S1 in the claim 1 and monitoring environmental parameters of the whole seed treatment process in real time; The standardized processing execution module is in data connection with the intelligent monitoring and decision-making module and is used for executing the after-ripening processing and dynamic air conditioning storage in the S2 and the S3; The dormancy breaking and germination accelerating regulation module is in data connection with the standardized processing execution module and is used for executing dormancy breaking and germination accelerating processing in the step S4; The quality tracing and optimizing module is in data connection with the modules and is used for executing the process monitoring and parameter optimization in the step S5; The central processing unit is respectively in communication connection with the intelligent monitoring and decision module, the standardized processing execution module, the dormancy breaking and germination accelerating regulation module and the quality tracing and optimizing module, and is used for receiving monitoring data, running decision and optimizing algorithm and sending control instructions to each execution unit.
  7. 7. The integrated treatment system for improving germination percentage of epimedium seeds of claim 6, wherein the intelligent monitoring and decision-making module comprises a physical and physiological index monitoring unit for performing a two-channel harvest time decision; The environment sensing network comprises distributed deployed temperature, humidity, CO 2 concentration, illumination intensity and matrix water content sensors, and is used for acquiring environment data in real time and uploading the environment data to the central processing unit.
  8. 8. The integrated treatment system for improving germination percentage of epimedium seeds of claim 6, wherein the standardized treatment execution module comprises: the harvesting and after-ripening treatment unit is used for performing accurate harvesting and in-vitro after-ripening treatment in stages; and the storage regulation and control unit is used for executing dynamic air-conditioning storage and antioxidation fresh-keeping treatment.
  9. 9. The integrated treatment system for improving germination percentage of epimedium seeds according to claim 6, wherein the dormancy breaking and germination accelerating control module comprises a hormone treatment unit for performing GA 3 solution soaking treatment; The variable-temperature lamination accelerating germination unit is used for executing three-stage variable-temperature lamination treatment; and the sterile environment guaranteeing unit is used for guaranteeing the sterile operation environment of the treatment process.
  10. 10. The integrated treatment system for improving germination rate of epimedium seeds of claim 6, wherein said quality tracing and optimizing module comprises: the germination process dynamic monitoring unit is used for periodically sampling and detecting physiological and biochemical indexes of seeds; And the data feedback and optimization unit is used for dynamically optimizing the processing parameters through the machine learning model based on the monitoring data and updating the model parameters.

Description

Comprehensive treatment method and system for improving germination rate of epimedium seeds Technical Field The application belongs to the technical field of herba epimedii germination acceleration, and particularly relates to a comprehensive treatment method and system for improving the germination rate of herba epimedii seeds. Background The epimedium as an important medicinal plant has the characteristics of typical morphological dormancy and physiological dormancy, and has tiny seed, incomplete embryo development, long dormancy period, natural germination rate of less than 15 percent, irregular germination and long period, thereby severely restricting the large-scale artificial cultivation and germplasm resource utilization. At present, the treatment technology of epimedium seeds is mainly concentrated on the improvement of the traditional agronomic method, and has the following outstanding problems: The traditional method mainly judges the harvest period according to the change of the appearance and color of the fruits, has great influence on the acceptor, and can not accurately reflect the physiological maturity (such as embryo development state and accumulation of storage substances) in the seeds, so that the harvest is too early or too late, and the initial vigor of the seeds is low. The post-ripening and storage technology is extensive, the vitality is lost quickly, the post-harvest treatment mostly adopts simple drying in the shade and sand storage at normal temperature, the temperature and humidity control on the post-ripening environment is inaccurate, the seed respiration is vigorous during the storage period, the seeds are easy to mildew or enter deep dormancy, and the vitality is rapidly reduced within a few months. The dormancy breaking method is single and has low efficiency, the conventional lamination germination accelerating technology has long period (usually several months), and the application of temperature changing program, hormone type and concentration is not accurately regulated, so that the morphology and physiological dormancy are difficult to break synchronously, and the germination rate is limited and unstable. The whole process from harvesting to germination is lack of intellectualization and data support, environmental parameters of each link are mostly manually monitored and manually adjusted, seed differences of different batches and different sources cannot be effectively identified and adapted, the treatment process is stiff, and dynamic optimization based on the real-time physiological state of the seeds cannot be realized. Therefore, a comprehensive processing method and system integrating intelligent judgment, accurate regulation and control and data driving are needed to realize the whole-process controllable management of the life cycle of the epimedium seeds, and fundamentally improve the germination efficiency and quality of the epimedium seeds. Disclosure of Invention The application provides a comprehensive treatment method and a comprehensive treatment system for improving the germination rate of epimedium seeds, and aims to solve the problems in the prior art. In a first aspect, a comprehensive treatment method for improving germination rate of epimedium seeds, the method comprising: S1, intelligently judging a harvesting period, namely collecting an image of fruits to be harvested and detecting the content of soluble sugar in seeds of the fruits to be harvested, and judging to enter an optimal harvesting period and executing harvesting when the image is identified to meet a preset morphological maturity standard and the content of the soluble sugar reaches 12% -15%; S2, carrying out standardized post-ripening treatment, namely placing the harvested seeds with fruits in a ventilation environment with the temperature of 20-22 ℃ and the humidity of 50-60% for in-vitro post-ripening, and turning over every day until the state of the fruits reaches a preset post-ripening end point; S3, dynamic modified atmosphere storage, namely mixing the seeds after post-ripening treatment with sterilized river sand, storing in a modified atmosphere environment with the concentration of 5% at the temperature of 6-10℃, CO 2, regularly ventilating, and simultaneously adding vitamin E preservative into the mixed matrix; S4, dormancy breaking and germination accelerating, wherein the dormancy breaking comprises physiological dormancy breaking and morphological dormancy breaking; S5, process monitoring and parameter optimization, namely, in the post-ripening treatment, storage and germination accelerating processes, monitoring environmental parameters in real time, periodically sampling and detecting physiological and biochemical indexes of seeds, and dynamically optimizing treatment parameters of each stage through a machine learning model based on historical and real-time monitoring data. Optionally, the intelligent harvest time determination in S1 adopts a dual-channel parallel d