Tracing system and method based on kiwi fruit planting industry

Abstract

The invention discloses a traceability system and method based on the kiwi fruit planting industry in the technical field of agricultural product traceability, and the system comprises a supply chain block chain, an enterprise block chain, a quality detection module, a traceability error correction module and an alarm feedback module. The kiwi fruit quality detection device is used for detecting the kiwi fruit quality in the sorting process, the product integrity of farmer households is reversely verified, then the feedback error correction module is used for correcting traceability data of the farmer households, and the traceability data comprises the types and brands of fertilizers used for kiwi fruit planting, fertilizer use records, pest and disease damage occurrence records and pesticide use types and brands. The authenticity of data uploaded by a subsequent block chain traceability system is ensured, legal informed rights and interests of consumers and partners at all levels are maintained, and food safety is maintained.

Description

Technical Field

[0001] The present invention belongs to the technical field of agricultural product traceability, and specifically relates to a traceability system and method based on the kiwifruit planting industry. Background Art

[0002] Blockchain is a distributed ledger technology that stores data on multiple nodes of the network in a decentralized manner and ensures the security and authenticity of the data through encryption algorithms. Each block contains the corresponding transaction record, and the block nodes are connected in chronological order through a chain structure to form a blockchain. In agricultural product traceability, the introduction of blockchain technology to encrypt and store data can eliminate data storage intermediaries and avoid data loss caused by single point failures in the traditional model. In addition, the immutability and transparency of blockchain stored data ensure the authenticity and convenience of blockchain data.

[0003] But behind these advantages, blockchain technology still has the problem of being incompatible with current agricultural production scenarios, especially in the kiwifruit planting industry and the traceability of kiwifruit processing and production products.

[0004] Kiwifruit is a vine plant with the characteristic of climbing growth. Kiwifruit needs sufficient sunlight and is suitable for growing in places with sufficient sunshine, with at least 8 hours of sunshine per day. Kiwifruit is suitable for growing in warm climates, and the ideal growth temperature range is 15 degrees Celsius to 25 degrees Celsius. When planting kiwifruit, priority should be given to hillsides or flat land with high altitude and good drainage. The soil is preferably loose, fertile, and sandy loam with high organic matter content. At present, there are dozens of varieties of kiwifruit being planted, and most of them are planted in mountainous areas of various places. Under such planting conditions, it is difficult for the kiwifruit planting industry to achieve large-scale mechanized agricultural planting, and the technical requirements for the direct transmission of blockchain multi-sensor data to the chain are also difficult to achieve. There are still many areas that retain the traditional production method of buyers purchasing products from individual growers. The planting information reported by growers may be false. The differences in environment and planting technology between growers also cause the uneven quality of kiwifruit agricultural products, which causes great difficulties in the establishment and operation of the traceability system.

[0005] To this end, it is necessary to propose a traceability system and method based on the kiwifruit planting industry that can verify the authenticity of the planting information reported by growers, detect the quality of kiwifruit agricultural products, and take into account the advantages and characteristics of the blockchain traceability system. Summary of the invention

[0006] In order to solve the above problems, the purpose of the present invention is to provide a traceability system and method based on the kiwifruit planting industry, which uses a kiwifruit quality detection device to detect the quality of kiwifruit during the sorting process, reversely verify the product integrity of the growers, and then use a feedback error correction module to correct the growers' traceability data, thereby ensuring the authenticity of the data uploaded to the subsequent blockchain traceability system, safeguarding the legitimate rights and interests of consumers and partners at all levels to know, and maintaining food safety.

[0007] In order to achieve the above-mentioned purpose, the technical scheme of the present invention is as follows: a traceability system based on the kiwifruit planting industry, including a supply chain blockchain, an enterprise blockchain, a quality detection module, a traceability error correction module and an alarm feedback module,

[0008] Supply chain blockchain, which is used to collect supply chain traceability data through smart contracts and encrypt and store it in corresponding nodes for consumers, regulators and partners to view;

[0009] Enterprise blockchain, which is used to collect and encrypt the private data of enterprises in the supply chain through smart contracts for viewing by enterprise stakeholders and regulatory authorities;

[0010] The quality inspection module is used to inspect the size, appearance, sweetness, and hardness of kiwifruit during the kiwifruit sorting process, and calculate the qualified rate of a single batch of kiwifruit;

[0011] The traceability and error correction module is used to trace the source of kiwifruit according to the qualified rate of kiwifruit and mark the source grower;

[0012] The alarm feedback module is used to remind the corresponding growers to pay attention to the quality of the integrity report according to the marked source growers, and trace and review the supply chain traceability data of the grower node, including the type and brand of fertilizers used in kiwifruit planting, fertilizer use records, pest and disease occurrence records, and the type and brand of pesticides used, and make corrections.

[0013] The principle of the basic solution is: to conduct quality inspection on kiwifruit during the sorting process through the quality inspection module, reversely verify the integrity of the growers based on the inspection results, and use the traceability and error correction module to mark and correct the problematic data. Finally, the growers are notified and their data is reviewed through the alarm feedback module to ensure that the data on the blockchain truly reflects the quality and source of the kiwifruit.

[0014] The beneficial effects of the basic solution are: 1. By introducing a quality inspection module in the sorting process, key indicators such as the size, appearance, sweetness, and hardness of kiwifruit are accurately measured to ensure that the quality data of each batch of kiwifruit can be accurately recorded. This step not only improves the authenticity of the data, but also significantly enhances the transparency of the supply chain, allowing consumers, regulators, and partners to make decisions based on real and reliable data.

[0015] 2. When consumers buy kiwifruit, they often pay attention to the quality and source of the product. The present invention uses blockchain technology to review and correct the information of the entire process of kiwifruit planting, growth, picking, and sorting. Consumers can easily obtain this information by simply scanning the QR code on the product or visiting the relevant platform. This high degree of information transparency helps to enhance consumers' trust in the product, thereby enhancing consumer satisfaction and loyalty.

[0016] 3. The introduction of the traceability error correction module and the alarm feedback module has brought farmers' behavior under stricter supervision. Once the quality test results of kiwifruit show that they are unqualified, the system will automatically trace the source of the problem and mark the relevant farmers. This mechanism helps to promote farmers' honest management, enhance their quality awareness and sense of responsibility, and thus promote the healthy development of the entire kiwifruit planting industry.

[0017] 4. The present invention collects and encrypts and stores the traceability data of the supply chain through smart contracts, so that each link in the supply chain can achieve information sharing and collaborative operation. This not only helps to optimize the supply chain management process and reduce operating costs, but also improves resource utilization efficiency and promotes the sustainable development of the kiwifruit planting industry.

[0018] 5. Food safety is a matter of great importance to people's livelihood. By constructing a comprehensive traceability system, the present invention enables regulatory authorities to grasp the dynamic information of the kiwifruit planting industry in real time, and promptly discover and deal with potential food safety risks. At the same time, by regularly publishing food safety reports and early warning information, it helps to enhance the public's confidence in food safety.

[0019] Furthermore, the supply chain blockchain includes grower nodes, sorting nodes, warehousing nodes, logistics nodes, sales nodes, consumer nodes and regulatory department nodes. The information stored between the nodes is interconnected.

[0020] The grower node is used to collect and encrypt the traceability data of growers through some smart contracts and some reports. The traceability data of growers includes kiwifruit tree species information, planting location, planting time, fertilizer application information, pesticide use information, pest and disease occurrence information and picking time;

[0021] Sorting nodes are used to collect and encrypt the traceability data of the sorting center through smart contracts. The sorting traceability data includes kiwifruit quality, processing enterprise information, raw material information, product information and operation information;

[0022] Warehouse nodes are used to collect and encrypt the traceability data of the warehouse center through smart contracts. The warehouse traceability data includes storage conditions, warehousing information, and outbound information.

[0023] Logistics nodes are used to collect and encrypt the traceability data of logistics centers through smart contracts. The logistics traceability data includes information on transportation tools and transportation time.

[0024] Sales nodes are used to collect sales network traceability data through smart contracts and store them in encrypted form. The sales traceability data includes product information, retailer information, price information, and deadline regulations.

[0025] Consumer nodes are used to provide traceability query channels for consumers to trace the source of kiwifruit products;

[0026] The regulatory department node is used to provide a traceability query channel for regulatory departments to supervise the supply chain and decrypt private data in the enterprise blockchain for regulatory departments to access.

[0027] The beneficial effects of the basic solution are: 1. The information stored between each node is interconnected, forming a complete information chain. From growers to consumers, the data of each link is recorded in detail and stored in encrypted form, ensuring the transparency and traceability of the information. This helps consumers and regulatory authorities to fully understand the source, production process and quality of kiwifruit products, and improves the trust and safety of the products.

[0028] 2. The data is collected and stored through smart contracts, ensuring the authenticity and accuracy of the data. The automated execution of smart contracts avoids the possibility of human intervention and tampering, making the data more reliable. This helps reduce information asymmetry and fraud, and maintains market fairness and consumer rights.

[0029] 3. The information connectivity between nodes promotes efficient coordination of the supply chain. Each link such as growers, sorting centers, storage centers, logistics centers and sales networks can share information in real time to achieve optimal allocation and scheduling of resources. This helps reduce operating costs and improve the responsiveness and flexibility of the supply chain.

[0030] 4. The consumer node provides a convenient traceability query channel, allowing consumers to easily obtain detailed information about kiwifruit products. This high level of information transparency enhances consumers' trust in the product, improves consumer satisfaction and loyalty. At the same time, it also helps consumers make more informed purchasing decisions.

[0031] 5. The regulatory department nodes can decrypt the private data in the enterprise blockchain and conduct more in-depth supervision and analysis. This helps the regulatory department to promptly discover and deal with potential risks and problems, improve regulatory efficiency and accuracy. At the same time, it also helps to maintain fair competition in the market and the legitimate rights and interests of consumers.

[0032] Furthermore, the enterprise blockchain includes planting enterprise blockchain, sorting enterprise blockchain, warehousing enterprise blockchain, logistics enterprise blockchain and sales enterprise blockchain.

[0033] The planting enterprise blockchain is used to collect and encrypt the privacy data of growers through some smart contracts and some reporting. The privacy data of growers includes kiwifruit production and planting environment information;

[0034] Sorting enterprise blockchain, which is used to collect and encrypt sorting center privacy data through smart contracts. Sorting privacy data includes kiwifruit sorting loss rate, sorting equipment information, and grower purchase information;

[0035] Warehousing enterprise blockchain is used to collect and encrypt the privacy data of the warehousing center through smart contracts. The privacy data of the warehousing center includes warehousing costs and warehouse order information.

[0036] The logistics enterprise blockchain is used to collect and encrypt the private data of the logistics center through smart contracts. The private logistics data includes transportation routes, transportation costs and outsourced transportation company information;

[0037] The sales enterprise blockchain is used to collect and encrypt sales network privacy data through smart contracts. The sales privacy data includes inventory information, price change information and market statistics.

[0038] The beneficial effects of the basic solution are: 1. The enterprise blockchain system collects and encrypts and stores the private data of each enterprise through smart contracts, ensuring the security and privacy of the data. Only authorized enterprise stakeholders and regulatory authorities can access the relevant data, effectively preventing data leakage and abuse. This helps to maintain the business secrets and legal rights of enterprises.

[0039] 2. Although the data is encrypted and stored, the enterprise blockchain system still achieves a high degree of information transparency. Each enterprise can understand the relevant information of the upstream and downstream of the supply chain through the system, which enhances mutual trust and cooperation between enterprises. This helps to reduce transaction costs and improve the overall efficiency of the supply chain.

[0040] 3. The enterprise blockchain system provides rich data support for various enterprises, which helps them make more scientific and reasonable decisions. For example, planting enterprises can optimize planting strategies based on kiwifruit production and planting environment information; sorting enterprises can adjust sorting processes based on sorting loss rate and equipment information; warehousing enterprises can optimize inventory management based on warehousing costs and order information; logistics enterprises can choose the best transportation plan based on transportation routes and cost information; sales enterprises can formulate sales strategies based on inventory, price changes and market statistics.

[0041] 4. The enterprise blockchain system can monitor and analyze the operational data of each enterprise in real time and promptly identify potential risks and problems. For example, if the sorting loss rate suddenly increases, the sorting enterprise can immediately take measures to check the equipment or adjust the sorting process; if the inventory backlog is serious, the sales enterprise can promptly adjust the sales strategy or carry out promotional activities. This risk warning and response mechanism helps enterprises respond to market changes in a timely manner and reduce operational risks.

[0042] Furthermore, the quality inspection module includes a detection unit, a sorting unit and a calculation unit.

[0043] The detection unit is used to detect the quality of kiwifruit;

[0044] The sorting unit is used to sort the kiwifruit according to their size;

[0045] The calculation unit is used to calculate the kiwifruit quality rate according to the detection and sorting results.

[0046] The beneficial effects of the basic scheme are: 1. Through advanced detection technology (such as near-infrared spectroscopy detection, etc.), the internal quality of kiwifruit, such as sugar content, moisture content, maturity, etc., can be accurately and quickly detected. The errors caused by human factors in traditional detection methods are avoided, and the accuracy and objectivity of the detection are improved. The kiwifruit is accurately sorted according to its size to ensure that each kiwifruit can be assigned to the appropriate category. The sorting process is fast and stable, reducing the damage and waste of kiwifruit during the sorting process.

[0047] 2. The results of the detection unit and the sorting unit are combined to evaluate the overall quality of kiwifruit. Through the calculation of the calculation unit, the superior rate of kiwifruit can be obtained, which provides a reliable basis for the grading of kiwifruit. Accurate grading helps to meet the needs of different consumer groups and enhance the market competitiveness of products. High-quality kiwifruit can be sold at a higher price, thereby improving the economic benefits of growers.

[0048] 3. The application of the quality inspection module marks an important step for the kiwifruit planting and processing industry to move towards intelligence and automation. The application of this technology not only improves production efficiency, but also provides strong support for the intelligent upgrading of the industry. By improving the efficiency and accuracy of detection, the quality inspection module helps to reduce resource waste and environmental pollution. Accurate grading and calculation of the rate of superior products help growers optimize planting strategies, improve the yield and quality of kiwifruit, and thus promote the sustainable development of the industry.

[0049] Furthermore, the traceability error correction module includes a traceability comparison unit and a marking unit.

[0050] The traceability comparison unit is used to compare the kiwifruit quality rate obtained by the calculation unit with the grower's purchase information, and to identify dishonest growers whose quality rate difference is greater than 10%;

[0051] A marking unit is used to mark dishonest growers in the system.

[0052] The beneficial effects of the basic solution are: 1. The traceability comparison unit can accurately identify dishonest growers whose quality rate difference is greater than 10% by comparing the kiwifruit quality rate obtained by the calculation unit with the grower's purchase information. This function effectively exposes dishonest behavior in the supply chain and improves the transparency of the entire supply chain. The marking unit immediately marks the dishonest growers in the system after they are identified. This marking mechanism not only makes it easier for other companies in the supply chain to quickly identify and avoid cooperating with these dishonest growers, but also sends a clear signal to the entire industry: dishonest behavior will be punished. This helps to improve the integrity of the entire industry.

[0053] 2. Through the traceability and error correction module, companies can more accurately evaluate the quality and production capacity of growers, thereby making more reasonable purchasing decisions. This helps avoid purchasing low-quality kiwis and reduce returns and losses caused by quality issues. At the same time, the traceability and error correction module can also help companies identify high-quality growers and establish long-term and stable cooperative relationships. This helps optimize supply chain resource allocation, reduce procurement costs, and improve overall operational efficiency.

[0054] 3. The application of the traceability and error correction module enables consumers to have greater trust in the quality and origin of kiwifruit products. By scanning the QR code on the product or visiting the relevant platform, consumers can easily obtain detailed information on kiwifruit products, including data on growers, sorting, warehousing, logistics and sales. This high level of information transparency helps to enhance consumers' trust in the product and improve brand loyalty. When consumers know that the products they buy are strictly screened and quality guaranteed, they are more willing to pay a higher price for these products.

[0055] Furthermore, the alarm feedback module includes a feedback error correction unit, a reminder unit,

[0056] Feedback error correction unit, traces the traceability data of dishonest growers in the supply chain blockchain, and makes corrections by referring to the traceability information of neighboring growers and the detected kiwifruit quality information;

[0057] The reminder unit reminds dishonest growers that their kiwifruit quality rate does not meet the standards, and reminds corresponding buyers to pay attention to the marked growers.

[0058] The beneficial effects of the basic scheme are: 1. By tracing the traceability data of dishonest growers and referring to the traceability information of neighboring growers and the detected kiwifruit quality information, errors or inaccuracies in the data can be more accurately identified and corrected. This error correction mechanism based on cross-validation of multi-party information greatly improves the accuracy and reliability of supply chain data, thereby improving the accuracy and efficiency of supply chain management.

[0059] 2. By updating and correcting the traceability data of growers in real time, the feedback error correction unit ensures the integrity and consistency of information in the supply chain. This helps to enhance the transparency and traceability of the supply chain, so that all links in the supply chain can clearly understand the source, quality and production process of kiwifruit products, thereby improving the trust and security of the entire supply chain.

[0060] 3. By promptly reminding dishonest growers that their kiwifruit quality rate is not up to standard and reminding corresponding buyers to pay attention to the marked growers, this module can effectively motivate growers to improve product quality and operate with integrity. This combination of positive incentives and negative warnings helps to promote growers to consciously abide by industry norms and quality standards, thereby improving the quality and competitiveness of the entire industry.

[0061] 4. The reminder unit provides timely information about dishonest growers to buyers, which helps buyers make more informed purchasing decisions and avoid purchasing low-quality kiwifruit products. This not only optimizes resource allocation in the supply chain, but also reduces quality risks and economic losses caused by purchasing low-quality products.

[0062] A tracing method based on the kiwi fruit planting industry comprises the following steps:

[0063] Step 1: Data collection: The five nodes of growers, sorting centers, storage centers, logistics providers, and sellers and the enterprise blockchain use GPS, sensor technology, and manual reporting to collect traceability data and privacy data from the five departments;

[0064] Step 2: Data verification. Supply chain nodes first verify the data. In particular, the sorting center uses the kiwifruit quality inspection device to trace the quality inspection data and compare it with the grower's purchase information, marking and correcting the grower's traceability data of dishonest growers.

[0065] Step 3: Data upload: The supply chain node divides the valid data into traceability data and privacy data and uploads them to the corresponding supply chain blockchain node and enterprise blockchain for encrypted storage;

[0066] Step 4: Data storage. The uploaded data is encrypted through blockchain technology to ensure that the data is not tampered with. The successfully uploaded data will be included in the block and connected to the previous block to form a chain. The nodes in the supply chain use the contract consensus mechanism to ensure that the uploaded data maintains consistent standards and ensure that all companies in the supply chain agree to upload the data to the chain.

[0067] Step 5: Data tracing. After the data is uploaded to the chain, consumers and partners can check the data in the supply chain blockchain through the data query channels in the corresponding supply chain nodes.

[0068] Step six, data supervision. The regulatory authorities detect the real-time information on the supply chain through the regulatory authorities’ nodes, and also access the private data on the enterprise blockchain through decryption.

[0069] Furthermore, the kiwifruit quality detection device in step 2 includes a conveyor belt, a frame and a controller, the frame is fixedly connected with a surface cleaning component, a near-infrared detection component and a roller sorting component in sequence from a position close to the conveyor belt, a storage tray is fixedly connected to the front end of the conveying direction of the conveyor belt, and the bottom wall of the storage tray close to the conveyor belt is lower than the bottom wall away from the conveyor belt;

[0070] The surface cleaning component includes a plurality of cleaning rollers arranged in an upper and lower double layer. The spacing between the double-layer cleaning rollers is greater than the diameter of the kiwi fruit. A plurality of brushes are fixedly connected to the surface of the cleaning rollers. The upper and lower cleaning rollers rotate in opposite directions. The lower cleaning roller rotates away from the conveyor belt. The upper cleaning roller and the lower cleaning roller are driven by an upper motor and a lower motor respectively. The conveyor belt, the upper motor and the lower motor are all connected to the controller signal.

[0071] The beneficial effects of the basic solution are: 1. The device greatly improves the speed and accuracy of kiwifruit quality detection through integrated design and automated operation process. Compared with traditional manual detection methods, automated detection can process a large number of samples more quickly while reducing errors caused by human factors. This not only saves time, but also ensures the objectivity and consistency of the test results, providing a reliable basis for kiwifruit quality grading and grower traceability data verification.

[0072] 2. The near-infrared detection component can penetrate deep into the kiwifruit and accurately determine key quality indicators such as its sugar content and maturity. This high-precision detection technology makes the quality of sorted kiwifruit more consistent, meeting the needs of different consumer groups. Whether it is high-end kiwifruit for the high-end market or ordinary kiwifruit for the mass market, the device can achieve accurate sorting, thereby improving the overall quality and market competitiveness of the product.

[0073] 3. The ingenious design of the surface cleaning component and roller sorting component effectively reduces the damage of kiwifruit during the inspection and sorting process. This not only reduces the loss rate, but also improves the utilization rate and added value of kiwifruit. At the same time, the automated process reduces manual intervention, reduces labor costs, and further improves economic benefits.

[0074] Furthermore, the near-infrared detection component includes a dark box, with blackout curtains hung at the entrance and exit of the dark box, a detection conveyor belt fixedly connected to the bottom of the dark box, a number of spectrometers fixedly connected to the center of the top wall of the dark box, and the detection directions of the spectrometers are all downward, a number of spectral light sources are fixedly connected to both sides of the top wall of the dark box, and the irradiation directions of the spectral light sources are all toward the detection conveyor belt, and the detection conveyor belt, spectral light source and spectrometer are all connected to the controller signal.

[0075] The beneficial effects of the basic solution are: 1. The dark box provides a testing environment without light interference, and the blackout curtain further ensures the closedness of light during the testing process. This design avoids the interference of external light on the near-infrared spectrum detection, thereby improving the accuracy and stability of the detection. The spectrometer can accurately receive and analyze the near-infrared spectrum emitted by the spectral light source and reflected or transmitted by the kiwifruit. This precise coordination enables the testing process to accurately reflect the internal quality characteristics of kiwifruit, such as sugar content, moisture content, maturity, etc.

[0076] 2. The detection conveyor belt allows kiwifruit to quickly pass through the near-infrared detection component in an automated process, thereby greatly improving the detection efficiency. This not only saves time, but also makes large-scale detection possible, meeting the kiwifruit planting industry's demand for efficient and rapid detection. The detection conveyor belt, spectral light source and spectrometer are all connected to the controller signal, realizing the automated control of the entire detection process. This automated control not only improves the detection efficiency, but also reduces the risk of manual intervention, ensuring the objectivity and consistency of the test results.

[0077] 3. The near-infrared detection component can accurately detect the internal quality characteristics of kiwifruit, which allows kiwifruit to be accurately graded according to its quality. Kiwifruits of different qualities can meet the needs of different consumer groups, thereby improving the overall quality and market competitiveness of the product. Accurate grading helps reduce losses and waste caused by inconsistent quality. High-quality kiwifruit can be sold at a higher price, while low-quality kiwifruit can be used for other purposes, such as processing into juice or jam, thereby improving the utilization rate and added value of the product.

[0078] Furthermore, the roller sorting assembly includes a plurality of sorting rollers, which are all driven by sorting motors. The spacing distance between the sorting rollers gradually increases with the distance from the near-infrared detection assembly. A plurality of sorting slots are fixedly connected to the frame below the sorting rollers. The inner walls of the sorting slots are paved with elastic layers. The sorting slots are all guided to the sides and the openings at the ends of the sorting sides are detachably connected with sorting frames. The sorting motors are all connected to the controller signals.

[0079] The beneficial effects of the basic scheme are: 1. The sorting motor is connected to the controller signal to realize the automatic control of the sorting process. This not only improves the sorting efficiency, but also reduces manual intervention, making the sorting process more stable and reliable. The spacing between the sorting rollers gradually increases according to the distance from the near-infrared detection component. This design helps to sort the kiwifruit step by step according to its size and shape. This step-by-step sorting method ensures that the kiwifruit will not squeeze or collide with each other during the sorting process, thereby improving the accuracy of sorting.

[0080] 2. The inner wall of the sorting trough is paved with an elastic layer, which helps to protect the quality of kiwifruit during the sorting process. The elastic layer can reduce the friction and collision between the sorting roller and the kiwifruit, thereby reducing the damage rate of the kiwifruit. The end opening of the sorting side is detachably connected with a sorting frame to facilitate the collection of sorted kiwifruit. This design not only facilitates the collection work after sorting, but also avoids secondary damage to the kiwifruit during the sorting process.

[0081] 3. The spacing between the sorting rollers can be adjusted as needed, which enables the roller sorting assembly to adapt to the sorting needs of kiwifruits of different sizes and shapes. The sorting frame can be detachably connected, which is convenient for replacement according to actual needs. This design enables the roller sorting assembly to be suitable for sorting tasks of kiwifruits of different types and specifications. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 It is a schematic diagram of a traceability system based on the kiwi fruit planting industry in an embodiment of the present invention.

[0083] Figure 2 It is a schematic diagram of a traceability method based on the kiwi fruit planting industry in an embodiment of the present invention.

[0084] Figure 3 It is a schematic diagram of a quality detection module of a traceability system based on the kiwi fruit planting industry in an embodiment of the present invention.

[0085] Figure 4 It is a schematic diagram of a traceability error correction module of a traceability system based on the kiwi fruit planting industry in an embodiment of the present invention.

[0086] Figure 5 It is a schematic diagram of an alarm feedback module of a traceability system based on the kiwifruit planting industry in an embodiment of the present invention.

[0087] Figure 6 It is an axonometric diagram of a kiwi fruit quality detection device in an embodiment of the present invention.

[0088] The figure marks in the drawings of the specification include: 1. storage tray; 2. conveyor belt; 3. double-layer cleaning roller; 4. detection conveyor belt; 5. blackout curtain; 6. controller; 7. sorting frame; 8. sorting slot; 9. sorting roller; 10. dark box. DETAILED DESCRIPTION

[0089] The following is further described in detail through specific implementation methods:

[0090] Example 1

[0091] Basically as attached Figure 1 , Figure 3 , Figure 4 and Figure 5 Shown: A traceability system based on the kiwifruit planting industry, including a supply chain blockchain, an enterprise blockchain, a quality inspection module, a traceability error correction module and an alarm feedback module.

[0092] The supply chain blockchain is used to collect traceability data of the supply chain through smart contracts and encrypt and store it in the corresponding nodes for consumers, regulators and partners to view. The supply chain blockchain includes grower nodes, sorting nodes, warehousing nodes, logistics nodes, sales nodes, consumer nodes and regulatory department nodes. The information stored between the nodes is interconnected. The grower node is used to collect and encrypt the grower traceability data through some smart contracts and some reports. The grower traceability data includes kiwifruit tree species information, planting location, planting time, fertilizer application information, pesticide use information, pest and disease occurrence information and picking time; the sorting node is used to collect and encrypt the sorting center traceability data through smart contracts. The sorting traceability data includes kiwifruit quality, processing enterprise information, raw material information, product information and operation information; the warehousing node is used to collect and encrypt the sorting center traceability data through smart contracts. The sorting traceability data includes kiwifruit quality, processing enterprise information, raw material information, product information and operation information. The smart contract is used to collect the traceability data of the logistics center and encrypt the data for storage. The warehouse traceability data includes storage conditions, warehousing information and outbound information. The logistics node is used to collect the traceability data of the logistics center through smart contracts and encrypt the data for storage. The logistics traceability data includes transportation tools and transportation time information. The sales node is used to collect the traceability data of the sales network through smart contracts and encrypt the data for storage. The sales traceability data includes commodity information, retailer information, price information and time limit regulations. The consumer node is used to provide a traceability query channel for consumers to trace the kiwi products. The regulatory department node is used to provide a traceability query channel for regulatory departments to supervise the supply chain, and decrypt the privacy data in the enterprise blockchain for regulatory departments to access.

[0093] Enterprise blockchain is used to collect and encrypt the privacy data of enterprises in the supply chain through smart contracts for viewing by enterprise stakeholders and regulatory authorities. Enterprise blockchain includes planting enterprise blockchain, sorting enterprise blockchain, warehousing enterprise blockchain, logistics enterprise blockchain and sales enterprise blockchain. Planting enterprise blockchain is used to collect and encrypt the privacy data of growers through some smart contracts and partially report them. The privacy data of growers includes kiwifruit production and planting environment information; sorting enterprise blockchain is used to collect and encrypt the privacy data of sorting centers through smart contracts. The sorting privacy data includes kiwifruit sorting loss rate, sorting equipment information and grower acquisition information; warehousing enterprise blockchain is used to collect and encrypt the privacy data of warehousing centers through smart contracts. The storage privacy data includes warehousing costs and warehouse order information; logistics enterprise blockchain is used to collect and encrypt the privacy data of logistics centers through smart contracts. The logistics privacy data includes transportation routes, transportation costs and outsourced transportation company information; sales enterprise blockchain is used to collect and encrypt the privacy data of sales networks through smart contracts. The sales privacy data includes inventory information, price change information and market statistics.

[0094] The quality inspection module is used to detect the size, appearance, sweetness and hardness of kiwifruit in the kiwifruit sorting process and calculate the qualified rate of a single batch of kiwifruit. The quality inspection module includes a detection unit, a sorting unit and a calculation unit. The detection unit is used to detect the quality of kiwifruit; the sorting unit is used to sort kiwifruit according to its size; and the calculation unit is used to calculate the kiwifruit quality rate based on the detection and sorting results.

[0095] The traceability error correction module is used to trace the source of kiwifruit according to the qualified rate of kiwifruit and mark the source growers. The traceability error correction module includes a traceability comparison unit and a marking unit. The traceability comparison unit is used to compare the grower's purchase information with the kiwifruit quality rate obtained by the calculation unit, and to identify dishonest growers whose traceability quality rate difference is greater than 10%; the marking unit is used to mark dishonest growers in the system.

[0096] The alarm feedback module is used to remind the corresponding growers to pay attention to the quality of the integrity report according to the marked source growers, and trace and review the supply chain traceability data of the grower node, including the type and brand of fertilizers used in kiwifruit planting, fertilizer use records, pest and disease occurrence records, and the type and brand of pesticides used, and make corrections. The alarm feedback module includes a feedback error correction unit and a reminder unit. The feedback error correction unit traces the grower traceability data of dishonest growers in the supply chain blockchain, and corrects it with reference to the traceability information of adjacent growers and the detected kiwifruit quality information; the reminder unit reminds dishonest growers that the kiwifruit quality rate does not meet the standard, and reminds the corresponding buyers to pay attention to the marked growers.

[0097] The specific implementation process is as follows: The collected data needs to be verified before being uploaded to the blockchain. However, since the kiwifruit growing environment is mostly in mountainous areas and the planting conditions are difficult to achieve large-scale mechanized planting, the cultural quality of growers is uneven. Most areas still implement the model of buyers purchasing kiwifruit, and the traceability information of many growers can only be entered into the system by manual reporting. This leaves opportunities for tampering with the growers' traceability information, and the security of the blockchain traceability system is also threatened.

[0098] In this case, the system uses the quality inspection module to inspect the quality of kiwifruit in the sorting link of the verification stage, including the hardness, sugar content, appearance and pesticide residues of kiwifruit, and sorts the kiwifruit according to its size to increase the added value of kiwifruit. By comparing the test results with the results reported by the growers when the buyers purchase the kiwifruit, it can be determined whether the growers conceal or falsely report the quality and weight, so that the traceability and error correction module can mark the dishonest growers. After comparing the growers' traceability information again, the traceability information of the adjacent growers and the detected kiwifruit quality information are used to correct the growers' possible false traceability information, such as tree species information, sugar content information, etc., to eliminate possible hidden dangers for the blockchain traceability system, while complying with the current development status of kiwifruit planting and overcoming the problem that the existing blockchain traceability system is not suitable for agricultural planting. For example, the base fertilizer, compound fertilizer and foliar fertilizer used in the kiwifruit planting process. The application of these fertilizers not only affects the growth and development of kiwifruit trees, but also affects the accumulation of nutrients in kiwifruit fruits, and ultimately affects the quality of kiwifruit fruits. It is necessary to provide them to consumers for inquiries after correcting them as traceability data.

[0099] The records of pests and diseases in the traceability data give consumers more basis for purchasing choices. The main pests of kiwifruit include scarab beetles, large fruit flies, small firewood beetles, leafhoppers and stink bugs, which can be controlled by spraying a variety of pesticides, including highly effective cypermethrin, avermectin benzoate, thiamethoxam, imidacloprid, phoxim, etc., or by physical measures such as bagging. The main diseases of kiwifruit include canker, brown spot, leaf spot, etc., which can be prevented in advance by cleaning, pruning and turning the soil in winter, or by spraying fungicides such as streptomycin, methyl thiophanate and mancozeb when the disease occurs. The use of these pesticides will form residues on the surface of the fruit, and excessive pesticide residues and banned pesticide residues may become a potential threat to consumers' consumption of kiwifruit agricultural products. The records of pests and diseases during the planting process and the use of pesticides in the traceability data will become an important basis for consumers to choose high-quality pollution-free kiwifruit.

[0100] The corrected traceability data of growers, together with other supply chain traceability data, are automatically uploaded by smart contracts to the corresponding nodes of the supply chain blockchain for encrypted storage. After that, partners, growers, consumers and regulatory authorities at each node can query the traceability information through the query channels provided by the system, such as scanning the QR code on the kiwifruit label, to check whether the kiwifruit supply chain data meets the planting requirements and storage conditions that are different from other fruits. For example, the optimal growth temperature of kiwifruit is between 12-25℃. Too high or too low temperature will not only affect the growth of kiwifruit, but also the development and maturity of the fruit; whether the kiwifruit is picked at an appropriate time, etc. Kiwifruit for fresh consumption is harvested when it is nearly 90% ripe. The fruit for making juice or jam can be harvested when it is 90% ripe if it can be processed in time. The fruit for making syrup slices and canned food can be harvested when it is 80% ripe. The fruit for storage is harvested when it is 70% ripe. Only by harvesting at the right time can we obtain fruits with excellent quality and good storage performance. Different picking times also have a great impact on the storage performance of the fruit. If harvested too early, the fruit is not yet ripe, and the fruit is light in weight, low in sugar, light and sour in flavor, and not resistant to storage. If harvested too late, the fruit is already ripe, the hardness is significantly reduced, and it is easy to ferment and deteriorate, and the storage resistance is reduced. The best storage temperature for kiwifruit is 1-4℃. These kiwifruit planting supply chain data are the basis for kiwifruit consumers to judge the quality of the various kiwifruit agricultural products on the market. Through the real-time traceability of these data by consumers and regulatory authorities, it can help truly meticulous kiwifruit growers and suppliers gain an advantage in the market. It not only ensures the authenticity and transparency of the entire traceability system information, improves consumers' trust in products and brands, but also promotes healthy competition in the kiwifruit planting industry and the advancement of planting technology.

[0101] At the same time, privacy data about production and business is automatically encrypted and uploaded to each company's own enterprise blockchain, and can only be viewed by the partners themselves and regulatory authorities, protecting the information security of the partner companies and providing data support for industrial development.

[0102] Example 2

[0103] As attached Figure 2 As shown: A traceability method based on the kiwi fruit planting industry includes the following steps:

[0104] Step 1: Data collection: The five nodes of growers, sorting centers, storage centers, logistics providers, and sellers and the enterprise blockchain use GPS, sensor technology, and manual reporting to collect traceability data and privacy data from the five departments;

[0105] Step 2: Data verification. Supply chain nodes first verify the data. In particular, the sorting center uses the kiwifruit quality inspection device to trace the quality inspection data and compare it with the grower's purchase information, marking and correcting the grower's traceability data of dishonest growers.

[0106] Step 3: Data upload: The supply chain node divides the valid data into traceability data and privacy data and uploads them to the corresponding supply chain blockchain node and enterprise blockchain for encrypted storage;

[0107] Step 4: Data storage. The uploaded data is encrypted through blockchain technology to ensure that the data is not tampered with. The successfully uploaded data will be included in the block and connected to the previous block to form a chain. The nodes in the supply chain use the contract consensus mechanism to ensure that the uploaded data maintains consistent standards and ensure that all companies in the supply chain agree to upload the data to the chain.

[0108] Step 5: Data tracing. After the data is uploaded to the chain, consumers and partners can check the data in the supply chain blockchain through the data query channels in the corresponding supply chain nodes.

[0109] Step six, data supervision. The regulatory authorities detect the real-time information on the supply chain through the regulatory authorities’ nodes, and also access the private data on the enterprise blockchain through decryption.

[0110] Example 3

[0111] The difference from the above embodiment is that, as shown in the attached Figure 6 As shown: the kiwifruit quality detection device in step 2 of the above-mentioned traceability method based on the kiwifruit planting industry has all the functions of the detection unit and the sorting unit in the quality detection module, including a conveyor belt 2, a frame and a controller 6, and the frame is fixedly connected with a surface cleaning component, a near-infrared detection component and a roller sorting component in sequence from a position close to the conveyor belt. The near-infrared detection component is used to detect the sweetness, hardness and dry matter content of the kiwifruit, and the roller sorting component is used to sort the kiwifruit according to the size of the kiwifruit. A storage tray 1 is fixedly connected to the front end of the conveying direction of the conveyor belt 2, and the bottom wall of the storage tray 1 close to the conveyor belt 2 is lower than the bottom wall away from the conveyor belt 2.

[0112] The surface cleaning component includes a plurality of cleaning rollers 3 arranged in a double layer, the spacing between the double-layer cleaning rollers 3 is greater than the diameter of the kiwi fruit, a plurality of brushes are fixedly connected to the surface of the cleaning rollers 3, the upper and lower cleaning rollers 3 rotate in opposite directions, and the lower cleaning roller 3 rotates in a direction away from the conveyor belt 2, the upper cleaning roller 3 and the lower cleaning roller 3 are driven by an upper motor and a lower motor respectively, and the conveyor belt 2, the upper motor and the lower motor are all connected to the controller 6 signal.

[0113] The near-infrared detection component includes a dark box 10, and blackout curtains 5 are hung at the entrance and exit of the dark box 10. A detection conveyor belt 4 is fixedly connected to the bottom of the dark box 10, and a plurality of spectrometers are fixedly connected to the center of the top wall of the dark box 10. The detection directions of the spectrometers are all downward. A plurality of spectral light sources are fixedly connected to both sides of the top wall of the dark box 10. The irradiation directions of the spectral light sources are all toward the detection conveyor belt 4. The detection conveyor belt 4, the spectral light source and the spectrometer are all connected to the controller 6 signal.

[0114] The roller sorting assembly includes a plurality of sorting rollers 9, which are driven by sorting motors. The spacing between the sorting rollers 9 gradually increases as they move away from the near-infrared detection assembly. A plurality of sorting slots 8 are fixedly connected to the frame below the sorting rollers 9. The inner walls of the sorting slots 8 are paved with elastic layers. The sorting slots 8 are all guided to the side and the openings at the ends of the sorting sides are detachably connected with sorting frames 7. The sorting motors are all connected to the controller 6 signals.

[0115] The specific implementation process is as follows: During the sorting process, the quality of the kiwifruit is first inspected, and then the kiwifruit needs to be sorted according to its size. The kiwifruit in the transport vehicle is directly unloaded onto the storage tray 1. Since the bottom wall of the plant tray is inclined, the kiwifruit on the storage tray 1 slides to the front of the conveyor belt 2 and is input into the next component by the conveyor belt 2. In the surface cleaning component, the kiwifruit enters between the double-layer cleaning rollers 3. The brushes on the cleaning rollers continuously brush the surface of the kiwifruit to remove attached stains and fluff. At the same time, the kiwifruit is transported to the next component by the double-layer cleaning rollers 3. The interlayer spacing of the double-layer cleaning rollers 3 is greater than the size of the kiwifruit to avoid kiwifruit clogging. At the same time, the lower cleaning roller rotates toward the next component due to the transportation function, and the upper cleaning roller rotates in the opposite direction to provide the brush with sufficient cleaning ability.

[0116] After cleaning, the kiwifruit is transported into the dark box 10 of the near-infrared detection component to reduce the impact of other light sources on the detection. The spectral light source emits near-infrared rays to the kiwifruit, and the spectrometer receives and analyzes the reflected light to obtain the detection data of the kiwifruit. These data are important bases for ensuring the quality of kiwifruit agricultural products, including the detection of the size, appearance, sweetness and hardness of the kiwifruit, as well as the testing of pesticide residues on the surface of the kiwifruit, such as the residues of pesticides such as chlorpyrifos or chlorpyrifos. The kiwifruit that has been tested enters the roller sorting component. According to the gap from small to large between the sorting rollers 9 in the roller sorting component, the kiwifruit falls into different sorting slots 8 and sorting frames 7. The elastic layer in the sorting slot 8 can avoid damage to the kiwifruit during the sorting process. The device as a whole uses the controller 6 to achieve automation, which improves the sorting and detection efficiency of kiwifruit, and also drives the overall quality standard of supply chain products to rise.

[0117] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0118] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A traceability system based on the kiwifruit planting industry, characterized by: Including supply chain blockchain, enterprise blockchain, quality inspection module, traceability and error correction module and alarm feedback module. Supply chain blockchain, which is used to collect supply chain traceability data through smart contracts and encrypt and store it in corresponding nodes for consumers, regulators and partners to view; Enterprise blockchain, which is used to collect and encrypt the private data of enterprises in the supply chain through smart contracts for viewing by enterprise stakeholders and regulatory authorities; The quality inspection module is used to inspect the size, appearance, sweetness, and hardness of kiwifruit during the kiwifruit sorting process, and calculate the qualified rate of a single batch of kiwifruit; The traceability and error correction module is used to trace the source of kiwifruit according to the qualified rate of kiwifruit and mark the source grower; The alarm feedback module is used to remind the corresponding growers to pay attention to the quality of the integrity report according to the marked source growers, and trace and review the supply chain traceability data of the grower node, including the type and brand of fertilizers used in kiwifruit planting, fertilizer use records, pest and disease occurrence records, and the type and brand of pesticides used, and make corrections.

2. The traceability system based on the kiwifruit planting industry according to claim 1 is characterized in that: The supply chain blockchain includes grower nodes, sorting nodes, warehousing nodes, logistics nodes, sales nodes, consumer nodes and regulatory department nodes. The information stored in each node is interconnected. The grower node is used to collect and encrypt the traceability data of growers through some smart contracts and some reports. The traceability data of growers includes kiwifruit tree species information, planting location, planting time, fertilizer application information, pesticide use information, pest and disease occurrence information and picking time; Sorting nodes are used to collect and encrypt the traceability data of the sorting center through smart contracts. The sorting traceability data includes kiwifruit quality, processing enterprise information, raw material information, product information and operation information; Warehouse nodes are used to collect and encrypt the traceability data of the warehouse center through smart contracts. The warehouse traceability data includes storage conditions, warehousing information, and outbound information. Logistics nodes are used to collect and encrypt the traceability data of logistics centers through smart contracts. The logistics traceability data includes information on transportation tools and transportation time. Sales nodes are used to collect sales network traceability data through smart contracts and store them in encrypted form. The sales traceability data includes product information, retailer information, price information, and deadline regulations. Consumer nodes are used to provide traceability query channels for consumers to trace the source of kiwifruit products; The regulatory department node is used to provide a traceability query channel for regulatory departments to supervise the supply chain and decrypt private data in the enterprise blockchain for regulatory departments to access.

3. The traceability system based on the kiwifruit planting industry according to claim 1 is characterized in that: Enterprise blockchains include planting enterprise blockchains, sorting enterprise blockchains, warehousing enterprise blockchains, logistics enterprise blockchains, and sales enterprise blockchains. The planting enterprise blockchain is used to collect and encrypt the privacy data of growers through some smart contracts and some reporting. The privacy data of growers includes kiwifruit production and planting environment information; Sorting enterprise blockchain, which is used to collect and encrypt sorting center privacy data through smart contracts. Sorting privacy data includes kiwifruit sorting loss rate, sorting equipment information, and grower purchase information; Warehousing enterprise blockchain is used to collect and encrypt the privacy data of the warehousing center through smart contracts. The privacy data of the warehousing center includes warehousing costs and warehouse order information. The logistics enterprise blockchain is used to collect and encrypt the private data of the logistics center through smart contracts. The private logistics data includes transportation routes, transportation costs and outsourced transportation company information; The sales enterprise blockchain is used to collect and encrypt sales network privacy data through smart contracts. The sales privacy data includes inventory information, price change information and market statistics.

4. The traceability system based on the kiwifruit planting industry according to claim 1 is characterized in that: The quality inspection module includes a detection unit, a sorting unit and a calculation unit. The detection unit is used to detect the quality of kiwifruit; The sorting unit is used to sort the kiwifruit according to their size; The calculation unit is used to calculate the kiwifruit quality rate according to the detection and sorting results.

5. The traceability system based on the kiwifruit planting industry according to claim 1 is characterized in that: The traceability error correction module includes a traceability comparison unit and a marking unit. The traceability comparison unit is used to compare the kiwifruit quality rate obtained by the calculation unit with the grower's purchase information, and to identify dishonest growers whose quality rate difference is greater than 10%; A marking unit is used to mark dishonest growers in the system.

6. The traceability system based on the kiwifruit planting industry according to claim 1 is characterized in that: The alarm feedback module includes a feedback error correction unit, a reminder unit, Feedback error correction unit, traces the traceability data of dishonest growers in the supply chain blockchain, and makes corrections by referring to the traceability information of neighboring growers and the detected kiwifruit quality information; The reminder unit reminds dishonest growers that their kiwifruit quality rate does not meet the standards, and reminds corresponding buyers to pay attention to the marked growers.

7. A traceability method based on the kiwifruit planting industry, characterized by: The following steps are included: Step 1: Data collection: The five nodes of growers, sorting centers, storage centers, logistics providers, and sellers and the enterprise blockchain use GPS, sensor technology, and manual reporting to collect traceability data and privacy data from the five departments; Step 2: Data verification. Supply chain nodes first verify the data. In particular, the sorting center uses the kiwifruit quality inspection device to trace the quality inspection data and compare it with the grower's purchase information, marking and correcting the grower's traceability data of dishonest growers. Step 3: Data upload: The supply chain node divides the valid data into traceability data and privacy data and uploads them to the corresponding supply chain blockchain node and enterprise blockchain for encrypted storage; Step 4: Data storage. The uploaded data is encrypted through blockchain technology to ensure that the data is not tampered with. The successfully uploaded data will be included in the block and connected to the previous block to form a chain. The nodes in the supply chain use the contract consensus mechanism to ensure that the uploaded data maintains consistent standards and ensure that all companies in the supply chain agree to upload the data to the chain. Step 5: Data tracing. After the data is uploaded to the chain, consumers and partners can check the data in the supply chain blockchain through the data query channels in the corresponding supply chain nodes. Step six, data supervision. The regulatory authorities detect the real-time information on the supply chain through the regulatory authorities’ nodes, and also access the private data on the enterprise blockchain through decryption.

8. The traceability method based on the kiwifruit planting industry according to claim 7 is characterized in that: The kiwifruit quality detection device in step 2 comprises a conveyor belt (2), a frame and a controller (6); a surface cleaning component, a near-infrared detection component and a roller sorting component are fixedly connected to the frame in sequence from a position close to the conveyor belt; the near-infrared detection component is used to detect the sweetness, hardness and dry matter content of the kiwifruit; the roller sorting component is used to sort the kiwifruit according to its size; a storage tray (1) is fixedly connected to the front end of the conveyor belt (2) in the conveying direction; a bottom wall of the storage tray (1) close to the conveyor belt (2) is lower than a bottom wall away from the conveyor belt (2); The surface cleaning component comprises a plurality of cleaning rollers (3) arranged in an upper and lower double layer, the spacing between the double layer cleaning rollers (3) is greater than the diameter of the kiwi fruit, a plurality of brushes are fixedly connected to the surface of the cleaning rollers (3), the upper and lower cleaning rollers (3) rotate in opposite directions, the lower cleaning roller (3) rotates in a direction away from the conveyor belt (2), the upper cleaning roller (3) and the lower cleaning roller (3) are driven by an upper motor and a lower motor respectively, and the conveyor belt (2), the upper motor and the lower motor are all connected to the controller (6) by signals.

9. The traceability method based on the kiwifruit planting industry according to claim 8, characterized in that: The near-infrared detection component comprises a dark box (10), the entrance and exit of the dark box (10) are both hung with blackout curtains (5), the bottom of the dark box (10) is fixedly connected to a detection conveyor belt (4), the center of the top wall of the dark box (10) is fixedly connected to a plurality of spectrometers, the detection directions of the spectrometers are all downward, both sides of the top wall of the dark box (10) are fixedly connected to a plurality of spectral light sources, the irradiation directions of the spectral light sources are all toward the detection conveyor belt (4), and the detection conveyor belt (4), the spectral light source and the spectrometer are all connected to the controller (6) by signal.

10. The traceability method based on the kiwifruit planting industry according to claim 8, characterized in that: The roller sorting assembly comprises a plurality of sorting rollers (9), the sorting rollers (9) are all driven by sorting motors, the spacing between the sorting rollers (9) gradually increases as they move away from the near-infrared detection assembly, a plurality of sorting slots (8) are fixedly connected to a frame below the sorting rollers (9), the inner walls of the sorting slots (8) are all paved with elastic layers, the sorting slots (8) are all directed to the side and the openings at the ends of the sorting sides are all detachably connected to sorting frames (7), and the sorting motors are all connected to the controller (6) by signal.

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