Vineyard full-life-cycle green authentication system

Abstract

The invention discloses a vineyard full life cycle green authentication system, which comprises a multi-mode Internet of Things sensing module, a production area specificity green authentication rule dynamic generation engine, an edge computing gateway, a block chain evidence storage module and a hierarchical authentication report generation module, and relates to the technical field of agricultural informatization. Automatic, continuous and credible collection of full-life-cycle data is realized, dependence on manual intervention is reduced, and data objectivity and traceability are improved; the authentication rule can be automatically adapted according to different production areas, varieties and ecological environments, so that the same system is suitable for various typical grape planting areas, and the disjunction of the standard and the actual production is avoided; by means of the zero-knowledge certification technology, the three-party requirements of concisely checking by consumers, completely checking by supervision departments and protecting the privacy of farmers are met on the basis of the same set of uplink data, and the practicability and credibility of an authentication report are improved.

Description

Technical Field

[0001] This invention relates to the field of agricultural information technology, specifically to a green certification system for the entire life cycle of a vineyard. Background Technology

[0002] Current green certification for grapes and wines primarily relies on manual records, periodic random inspections, and paper or ordinary electronic files. This system suffers from several drawbacks, including difficulty in ensuring data authenticity, potential disruptions to the traceability chain, a disconnect between certification standards and actual agronomic practices in different production regions, data loss due to unstable networks in remote areas, and challenges in balancing the data access needs of consumers, regulatory authorities, and growers. These shortcomings undermine the credibility and effectiveness of green certification. Summary of the Invention

[0003] To address the shortcomings of existing technologies, the technical solution adopted by this invention is: a green certification system for the entire life cycle of a vineyard, which includes a multimodal IoT sensing module, a dynamic generation engine for green certification rules specific to the production area, an edge computing gateway, a blockchain evidence storage module, and a graded certification report generation module; The multimodal IoT sensing module is used to collect data from the entire chain of vineyard seedling selection to market circulation; After receiving the data, the region-specific green certification rule dynamic generation engine generates adaptation rules based on planting area, grape variety, altitude, slope aspect, and soil characteristic parameters. The edge computing gateway preprocesses and performs consistency checks on the data; The blockchain evidence storage module stores the verification data on the blockchain. The graded authentication report generation module evaluates the on-chain data according to the adaptation rules and generates a graded report.

[0004] Preferably, the production area-specific green certification rule dynamic generation engine has a built-in decision tree structure based on a machine learning model. This structure first extracts feature parameters from historical certification data, and then periodically iterates and optimizes the rules based on external feedback data to ensure that the rules match the actual environment.

[0005] Preferably, the multimodal IoT sensing module includes an integrated sensor for soil thickness and underground temperature and humidity. This sensor acquires the soil depth, underground temperature and humidity information sequentially through a measurement unit, which is used to monitor key agronomic processes during the overwintering period.

[0006] Preferably, after receiving data, the edge computing gateway not only performs basic verification, but also includes a network interruption detection function: when an interruption is detected, a local hash chain cache is started, and after the network is restored, the data is sequentially retransmitted and the chain integrity is verified.

[0007] Preferably, the tiered authentication report generation module achieves tiered access through a zero-knowledge proof protocol. Consumers only confirm the authentication level and anti-counterfeiting mark, while regulators view the complete original data using an authorized key, and sensitive information of growers remains confidential throughout the process.

[0008] Preferably, the evaluation process of the graded certification report generation module adopts a weighted scoring model, which includes at least three items from soil tillage compliance, pesticide and fertilizer deduction, water resource utilization efficiency, overwintering compliance, and carbon footprint. The scores of each item are calculated separately and then weighted and summed to obtain the total score.

[0009] Preferably, the system also includes a sub-module for determining the compliance of the new shoot growth rate after emergence. After receiving the sensing data, the sub-module compares the actual growth rate with a preset benchmark range. If the deviation exceeds the range, it automatically generates an early warning signal and notifies the relevant parties.

[0010] Preferably, the system is additionally equipped with a precision irrigation decision unit, which combines soil moisture status and plant physiological parameters for joint judgment: when the judgment result is abnormal, an irrigation plan is generated and the plan is recorded in the blockchain storage module.

[0011] A method for green certification of vineyards throughout their entire lifecycle, based on a green certification system for the entire lifecycle of vineyards, includes the following steps: Step 1: Collect data from the entire chain in real time through the multimodal IoT sensing module; Step 2: The production area-specific green certification rule dynamic generation engine generates adaptation rules based on environmental parameters; Step 3: After the edge computing gateway verifies the data, it is uploaded to the blockchain by the blockchain evidence storage module; Step 4: The graded authentication report generation module evaluates the on-chain data according to the rules and outputs a graded report.

[0012] Preferably, the specific process of generating rules in step two is as follows: first, the preset industry or local green production standards are converted into calculable threshold parameters, and then these parameters are periodically optimized through a machine learning model.

[0013] The beneficial effects of this invention are as follows: It achieves automatic, continuous, and reliable data collection throughout the entire lifecycle, reducing reliance on manual intervention and improving data objectivity and traceability; the certification rules can automatically adapt to different production areas, varieties, and ecological environments, making the same system applicable to multiple typical grape-growing regions and avoiding the disconnect between standards and actual production; with the help of zero-knowledge proof technology, it simultaneously meets the needs of consumers for simple viewing, regulatory authorities for complete verification, and growers for privacy protection based on the same set of on-chain data, thereby improving the practicality and credibility of certification reports. Attached Figure Description

[0014] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0015] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments. The embodiments of the present invention are given for illustrative and descriptive purposes only, and are not intended to be exhaustive or to limit the invention to the forms disclosed. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described to better illustrate the principles and practical application of the invention, and to enable those skilled in the art to understand the invention and design various embodiments with various modifications suitable for a particular purpose.

[0016] Example: Please see Figure 1 This invention provides a technical solution: a green certification system for the entire lifecycle of a vineyard. The system adopts a closed-loop data flow architecture of "sensing—edge—blockchain—intelligent assessment—tiered output," with its core lying in the collaborative work of five modules: First, through multimodal IoT sensing modules, various dedicated sensors are deployed in the vineyard to automatically collect data from each stage, including overwintering, unearthing and trellising, growing season management, harvesting, winemaking, and logistics. Second, the collected raw data is pushed in real-time to a region-specific green certification rule dynamic generation engine. This engine incorporates a machine learning decision tree, which can dynamically generate a set of certification thresholds and scoring rules perfectly suited to the vineyard based on parameters such as local altitude, slope aspect, soil gravel content, and variety-rootstock combination. Next, the edge computing gateway performs consistency verification and local backup of all data, and automatically activates the hash chain caching mechanism when the network is interrupted to ensure that the data is not lost or tampered with under any circumstances. Subsequently, the verified data is packaged and uploaded to the blockchain by the blockchain notarization module to form a permanently traceable notarization chain. Finally, the graded authentication report generation module performs weighted scoring on the uploaded data according to dynamic rules and generates three types of reports through a zero-knowledge proof protocol: consumers only see the "green A+" level and anti-counterfeiting QR code, regulatory authorities can unlock all original records with the key, and sensitive fields such as the farmer's plot coordinates and actual yield are never disclosed throughout the entire proof process.

[0017] The region-specific green certification rule dynamic generation engine automatically iterates rule parameters quarterly based on historical certification results and expert feedback, ensuring that certification standards continuously reflect actual production changes. A multimodal IoT sensing module features a specially developed integrated sensor for soil thickness and underground temperature and humidity, used for precise monitoring of the most critical overwintering stage in northern production areas. The weighted scoring model covers at least three of the following five indicators: soil and cultivation practices, negative deductions for pesticides and fertilizers, water resource utilization efficiency, overwintering management standards, and carbon footprint, ensuring a comprehensive and objective assessment. The system also integrates a submodule for determining compliance of new shoot growth rate 7 days after emergence and a precise irrigation decision unit, providing real-time alerts and recording the basis for any anomalies.

[0018] A 1,000-mu wine grape base in Helan County, on the eastern foothills of Helan Mountain in Ningxia, is located at 38° north latitude, at an altitude of 1,100-1,300 meters, with a soil gravel content of 42%, and mainly grows Cabernet Sauvignon and Merlot.

[0019] Actual deployment of multimodal IoT sensing modules: A total of 612 sensors have been deployed throughout the park, including: 120 sets of integrated sensors for soil thickness and underground temperature and humidity (1 set per 10 mu). The sensor shell is made of engineering plastic that can withstand low temperature of -40℃. The thickness measurement uses an ultrasonic probe with an accuracy of ±5mm. The underground temperature and humidity probe is placed 30cm below the soil layer. 180 sets of soil-water potential-blade thickness combined sensor; 312 sets of equipment, including conventional weather stations and pest and disease image recognition cameras. All sensors use NB-IoT+LoRa dual-mode communication.

[0020] The production area-specific rule engine generated the first version of the rules based on local standards for the eastern foothills of the Helan Mountains and five years of agricultural records from this orchard. The main adjustments include: The acceptable threshold for soil burial thickness has been adjusted to ≥48cm; the negative penalty weight for pesticide use has been increased from 20% to 28% (due to strong local winds that make it easy for pesticides to drift).

[0021] Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art and related fields based on the embodiments of the present invention without inventive effort should fall within the scope of protection of the present invention. Structures, devices, and operating methods not specifically described and explained in the present invention, unless otherwise specified or limited, shall be implemented according to conventional means in the art.

Claims

1. A green certification system for the entire life cycle of a vineyard, characterized in that, The system includes a multimodal IoT sensing module, a dynamic generation engine for green certification rules specific to production areas, an edge computing gateway, a blockchain evidence storage module, and a tiered certification report generation module; The multimodal IoT sensing module is used to collect data from the entire chain of vineyard seedling selection to market circulation; After receiving the data, the region-specific green certification rule dynamic generation engine generates adaptation rules based on planting area, grape variety, altitude, slope aspect, and soil characteristic parameters. The edge computing gateway preprocesses and verifies the consistency of the data; The blockchain evidence storage module stores the verification data on the blockchain. The graded authentication report generation module evaluates the on-chain data according to the adaptation rules and generates a graded report.

2. The vineyard lifecycle green certification system according to claim 1, characterized in that, The dynamic generation engine for region-specific green certification rules has a built-in decision tree structure based on a machine learning model. This structure first extracts feature parameters from historical certification data, and then periodically iterates and optimizes the rules based on external feedback data to ensure that the rules match the actual environment.

3. The vineyard lifecycle green certification system according to claim 1, characterized in that, The multimodal IoT sensing module includes an integrated sensor for soil thickness and underground temperature and humidity. This sensor acquires soil depth, underground temperature and humidity information sequentially through a measurement unit, which is used to monitor key agronomic processes during the overwintering period.

4. The vineyard lifecycle green certification system according to claim 1, characterized in that, After receiving data, the edge computing gateway not only performs basic verification, but also includes a network interruption detection function: when an interruption is detected, the local hash chain cache is started, and after the network is restored, the data is sequentially retransmitted and the chain integrity is verified.

5. The vineyard lifecycle green certification system according to claim 1, characterized in that, The tiered authentication report generation module enables layered access through a zero-knowledge proof protocol. Consumers only need to confirm the authentication level and anti-counterfeiting label, while regulators can view the complete original data using an authorized key. Meanwhile, sensitive information about growers remains confidential throughout the process.

6. The vineyard lifecycle green certification system according to claim 1, characterized in that, The evaluation process of the graded certification report generation module adopts a weighted scoring model, which includes at least three items from soil tillage compliance, pesticide and fertilizer deduction, water resource utilization efficiency, overwintering compliance, and carbon footprint. The scores of each item are calculated separately and then weighted and summed to obtain the total score.

7. The vineyard lifecycle green certification system according to claim 1, characterized in that, The system also includes a sub-module for determining the compliance of new shoot growth rate after emergence. After receiving the sensing data, this sub-module compares the actual growth rate with a preset benchmark range. If the deviation exceeds the range, it automatically generates an early warning signal and notifies the relevant parties.

8. The vineyard lifecycle green certification system according to claim 1, characterized in that, The system is additionally equipped with a precision irrigation decision unit, which combines soil moisture conditions and plant physiological parameters for joint judgment: when the judgment result is abnormal, an irrigation plan is generated and the plan is recorded in the blockchain storage module.

9. A method for green certification of vineyards throughout their entire lifecycle based on the system described in claim 1, characterized in that, Includes the following steps: Step 1: Collect data from the entire chain in real time through the multimodal IoT sensing module; Step 2: The production area-specific green certification rule dynamic generation engine generates adaptation rules based on environmental parameters; Step 3: After the edge computing gateway verifies the data, it is uploaded to the blockchain by the blockchain evidence storage module; Step 4: The graded authentication report generation module evaluates the on-chain data according to the rules and outputs a graded report.

10. The vineyard lifecycle green certification method according to claim 9, characterized in that, The specific process of generating rules in step two is as follows: first, the preset industry or local green production standards are converted into calculable threshold parameters, and then these parameters are periodically optimized through a machine learning model.

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