Tea garden cultivation intelligent management method and system based on block chain

Abstract

The invention discloses a tea garden cultivation intelligent management method and system based on a block chain, and relates to the technical field of intelligent agriculture, and the system distributes a unique Ta-Chain ID for each tea tree through a block chain data storage module, guarantees the non-tampering and traceability of tea production, and verifies the data integrity and non-tampering. The environment and tea tree data are collected in real time through the Internet of Things sensing module, and the processed information is uploaded to the block chain. And the intelligent contract module triggers farming tasks based on the data, such as intelligent irrigation, fertilization and pest control. And through the intelligent market analysis module, tea leaf demands are predicted through an AI model, and a production strategy is optimized. Through combination of an information service platform and a cross-chain technology, tea garden data sharing is promoted, whole-course tracing of tea leaves is provided through a block chain + NFT technology, and market transparency and consumer trust are enhanced.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of smart agriculture technology, in particular to a tea garden cultivation smart management system based on blockchain. BACKGROUND

[0002] As a global important economic crop, the production and management of tea is crucial to its quality and market competitiveness. However, traditional tea garden cultivation and management methods have many problems, such as lack of transparency, difficulty in tracing, and lack of unified management of tea production data including fertilization, irrigation, and pest control. Consumers have difficulty in obtaining complete growth and supply chain information, which affects market trust. Data is easily tampered with and difficult to secure: current tea garden data is usually stored locally or on centralized servers, making it vulnerable to human tampering or data loss, which affects tea quality regulation. Management efficiency is low and lacks intelligent decision-making: traditional management relies on human experience and is difficult to accurately adjust agricultural activities such as irrigation, fertilization, and pest control in response to environmental changes, resulting in waste of resources and low production efficiency. Market fluctuations are large and supply and demand are not accurately matched: lack of intelligent market analysis tools, tea farmers have difficulty in adjusting production and sales strategies in a timely manner, which can easily cause supply and demand imbalance, inventory accumulation, or market shortages, affecting income.

[0003] Therefore, a tea garden cultivation smart management method and system based on blockchain is proposed, which uses blockchain, IoT, AI, and new information technology services to achieve data transparency, agricultural intelligence, and market precision, and improve the sustainable development capacity of the tea industry. SUMMARY

[0004] In view of the deficiencies of the prior art, the present application provides a tea garden cultivation smart management system based on blockchain to solve the problems mentioned in the background art.

[0005] To achieve the above purpose, the present application realizes the following technical scheme: a tea garden cultivation smart management system based on blockchain, comprising a blockchain data storage module, an IoT sensing module, an intelligent contract-driven agricultural management module, an intelligent market analysis module, and an information service platform module.

[0006] The blockchain data storage module is used to assign a unique digital identity Tea-ChainID to each tea tree and identify its historical data, growth data, agricultural records, and supply chain information. The distributed ledger storage mechanism of blockchain is used to chain the data and calculate the data integrity verification coefficient Iix to ensure non-tamperability, tea production transparency, and traceability.

[0007] The IoT sensing module is used to collect environmental data, tea tree growth data, and pest data in real time and process the data, and then transmit the processed data to the blockchain data storage module.

[0008] The smart contract-driven farm management module is used to perform intelligent farm management by calculating an irrigation trigger coefficient Wreq, a fertilization trigger coefficient Freq and a pest threat index PDI to intelligently trigger farm tasks;

[0009] The intelligent market analysis module is used to establish an AI market prediction model to predict the market demand for tea and provide production adjustment and sales strategies;

[0010] The information service platform module is used to establish an information service platform module, combine cross-chain technology, realize tea garden data interconnection and sharing, interface with food safety chain, agricultural product supply chain and international certification agency blockchain network, improve global market credit, adopt blockchain+NFT technology, support consumers to scan codes to trace the whole process of tea growth, picking, processing and circulation, and enhance transparency and trust.

[0011] Preferably, the blockchain data storage module includes an identity establishment unit, a first acquisition unit, a first calculation unit, a second calculation unit and a data verification unit.

[0012] The identity establishment unit is used to assign a unique digital identity Tea-ChainID to each tea tree in the tea garden, identify its historical data, growth data, farm records and supply chain information, and number T1, T2, T3……Tn; and adopt a distributed ledger storage mechanism of blockchain to chain the data.

[0013] The first acquisition unit is used to acquire coordinate information, tea leaf DNA sampling information and timestamp information on the blockchain of the tea tree, and establish a first data set.

[0014] The first calculation unit is used to perform hash calculation using the Merkle Tree structure, combine the first data set data, and calculate the hash root HTea of the tea garden after non-dimensional processing, as follows:

[0015]

[0016] In the formula, n represents the number of tea trees in the tea garden, T i represents the hash value corresponding to the digital identity information of the i-th tea tree, LG i represents the hash value corresponding to the coordinate information of the i-th tea tree, VD i represents the hash value corresponding to the leaf DNA sampling information of the i-th tea tree, and BT i represents the hash value corresponding to the timestamp information of the i-th tea tree on the blockchain.

[0017] Preferably, the second computing unit is configured to calculate the data integrity check coefficient Iix based on the hash root HTea of the tea garden obtained by calculation, and the formula is as follows:

[0018]

[0019] In the formula, HTea cur represents the hash root value of the current tea garden, HTea sto represents the hash root value stored in the history of the tea garden.

[0020] The data verification unit is configured to obtain a first evaluation result by analyzing whether the data integrity check coefficient Iix is zero, including:

[0021] When the data integrity check coefficient Iix = 0, it indicates that the data is completely consistent and has no risk of tampering, and continuous monitoring is required.

[0022] When the data integrity check coefficient Iix ≠ 0, it indicates that the data does not match the stored data and has a risk of tampering, triggering a first warning instruction and generating a first strategy: tracing the change history and restoring the correct data state.

[0023] Preferably, the Internet of Things sensing module includes a second acquisition unit, a data processing unit and a transmission unit.

[0024] The second acquisition unit is configured to collect tea garden soil humidity values and nutrient content by installing a soil analyzer, collect tea tree pest distribution image data by installing a multispectral camera, and collect tea tree root depth by installing a geological radar.

[0025] The data processing unit is configured to perform data preprocessing in the edge computing layer, including outlier rejection, data denoising and formatting processing, and establish a second data set based on the processed data.

[0026] The transmission unit is configured to send the second data set data to the blockchain data storage module for storage using LoRa technology.

[0027] Preferably, the smart contract driven agricultural management module includes a smart irrigation unit, a smart fertilization unit and a smart pest control unit.

[0028] The smart irrigation unit includes a third computing subunit and a first analysis subunit, configured to monitor the tea garden environment in real time and perform intelligent irrigation on the tea garden.

[0029] The third computing subunit is configured to calculate the irrigation trigger coefficient Wreq based on the dimensionless processing of the second data set data, and the formula is as follows:

[0030]

[0031] wherein SM cur represents the soil moisture value, SM opt represents the ideal soil moisture value, Afie represents the tea garden area, Droot represents the tea tree root depth, and CSx represents the soil water holding coefficient;

[0032] The first analysis subunit is configured to preset a second threshold Q2 in advance, compare the irrigation trigger coefficient Wreq with the second threshold Q2, and obtain a second evaluation result.

[0033] When the irrigation trigger coefficient Wreq is less than the second threshold Q2, it indicates that the tea garden does not need irrigation.

[0034] When the irrigation trigger coefficient Wreq is greater than or equal to the second threshold Q2, it indicates that the tea garden needs irrigation, a second warning instruction is triggered, and a second strategy is generated, i.e., intelligent irrigation is performed on the tea garden.

[0035] Preferably, the intelligent fertilization unit comprises a fourth calculation subunit and a second analysis subunit, which are configured to monitor the soil environment of the tea garden in real time and perform intelligent fertilization on the tea garden.

[0036] The fourth calculation subunit is configured to calculate a fertilization trigger coefficient Freq by combining the second data set data after non-dimensional processing, and the formula is as follows:

[0037]

[0038] wherein N soil represents the nutrient content of nitrogen per kilogram of soil, N opt represents the standard value of nitrogen content, P soil represents the nutrient content of phosphorus per kilogram of soil, P opt represents the standard value of phosphorus content, K soil represents the nutrient content of potassium per kilogram of soil, K opt represents the standard value of potassium content, α represents the fertilization efficiency factor, and w1, w2, and w3 represent weight coefficients.

[0039] The second analysis subunit is configured to preset a third threshold Q3 in advance, compare the fertilization trigger coefficient Freq with the third threshold Q3, and obtain a third evaluation result.

[0040] When the fertilization trigger coefficient Freq is less than the third threshold Q3, it indicates that the tea garden soil does not need fertilization.

[0041] When the fertilization trigger coefficient Freq is greater than or equal to the third threshold Q3, it indicates that the tea garden soil needs fertilization, a third warning instruction is triggered, and a third strategy is generated, i.e., intelligent fertilization is performed on the tea garden.

[0042] Preferably, the intelligent pest control unit comprises a fifth computing subunit and a third analysis subunit, for monitoring the health status of tea trees in the tea garden in real time, and intelligently controlling pests and diseases of tea trees;

[0043] The fifth computing subunit is used to calculate the pest and disease threat index PDI by combining the second data set data after dimensionless processing, and the formula is as follows:

[0044]

[0045] In the formula, Abh t represents the proportion of pest damage area at time t, Abh t+1 represents the proportion of pest damage area at time t+1, Ach t represents the proportion of disease damage area at time t, Ach t+1 represents the proportion of disease damage area at time t+1, Δt represents the sampling interval, ρ represents the tea tree density value of the tea garden, R resis represents the historical disease resistance coefficient of tea trees;

[0046] The third analysis subunit is used to preset a fourth threshold Q4 in advance, and compare and analyze the pest and disease threat index PDI with the fourth threshold Q4 to obtain a fourth evaluation result, which includes:

[0047] When the pest and disease threat index PDI is less than the fourth threshold Q4, it indicates that the tea tree has no pest and disease threat, and does not need to be sprayed with pesticides;

[0048] When the pest and disease threat index PDI is greater than or equal to the fourth threshold Q4, it indicates that the tea tree has a pest and disease threat, triggers a fourth early warning instruction, and generates a fourth strategy: intelligently spraying pesticides on tea trees in the tea garden.

[0049] Preferably, the intelligent market analysis module comprises an AI market prediction model establishing unit, a fifth computing unit and a fourth analysis unit;

[0050] The AI market prediction model establishing unit is used to construct a convolutional neural network initial model by using a convolutional neural network, and train and test the convolutional neural network initial model with historical transaction data, and use the trained convolutional neural network initial model as an AI market prediction model. At the same time, use the intermediate layer output of the inventory factor and the market price fluctuation factor as a feature vector to identify feature information, and train and test the AI market prediction model through the obtained feature information, and use the trained AI market prediction model as data operation to predict the market demand for tea;

[0051] The fifth computing unit is used to calculate the market demand coefficient DPR by combining historical data after dimensionless processing, and the formula is as follows:

[0052] DPR = w4 * lsc + w5 * kc + w6 * Pprice;

[0053] wherein lsc represents the historical yield of the tea garden, kc represents the inventory, Pprice represents the fluctuation rate of the market price compared with the historical price, and w4, w5 and w6 represent weight coefficients;

[0054] The fourth analysis unit is configured to obtain a fifth evaluation result by presetting a fifth threshold Q5 in advance and comparing the market demand coefficient DPR with the fifth threshold Q5.

[0055] When the market demand coefficient DPR < the fifth threshold Q5, it indicates that the demand for tea is insufficient, which may lead to the risk of tea overstock and inventory accumulation, triggering a fifth early warning instruction and generating a fifth strategy: stimulating consumers to purchase through promotion and discount, and intelligently adjusting the production calculation.

[0056] When the market demand coefficient DPR = the fifth threshold Q5, it indicates that the demand for tea is unchanged, and no adjustment is needed, and the monitoring is continued.

[0057] When the market demand coefficient DPR > the fifth threshold Q5, it indicates that the demand for tea exceeds the supply level, which may lead to the risk of oversupply, triggering a sixth early warning instruction and generating a sixth strategy: adjusting the production calculation and increasing the price to balance the supply and demand, and expanding the scale of the tea garden.

[0058] Preferably, the information service platform module is configured to establish an information service platform, realize data interconnection and sharing of tea gardens in different regions by combining cross-chain technology, connect with the blockchain networks of the food safety chain, the agricultural product supply chain and international certification agencies, improve the credit of tea in the global market, and ensure the traceability certification of tea; the platform uses blockchain+NFT technology to provide visual tea garden traceability services for consumers, and consumers can scan the blockchain label on the tea packaging to view the growth, picking, processing and circulation data of the batch of tea, thereby enhancing the transparency and trust.

[0059] Preferably, a tea garden cultivation intelligent management method based on blockchain comprises the following steps:

[0060] Step 1: Assign a unique Tea-Chain ID to each tea tree or tea garden batch, and bind its growth data, farming records and supply chain flow information; use the blockchain distributed ledger storage mechanism to encrypt the data and upload it to the chain, ensuring the data's non-tamperability and traceability; calculate the data integrity verification coefficient Iix to verify the data consistency;

[0061] Step 2: Deploy Internet of Things sensing devices to collect environmental data, tea tree growth data and pest data in real time, and process the data, then transmit the processed data to the blockchain data storage module.

[0062] Step three, intelligently triggering agricultural tasks by calculating irrigation trigger coefficient Wreq, fertilization trigger coefficient Freq and pest threat index PDI respectively, and comparing with threshold values;

[0063] Step four, predicting the market demand for tea by establishing an AI market prediction model, and giving production adjustment and sales strategy;

[0064] Step five, realizing tea garden data intercommunication and sharing through the establishment of an information service platform combined with cross-chain technology; connecting food safety chain, agricultural product supply chain and international certification agency blockchain network to improve global market credit; supporting consumers to scan codes to trace the whole process of tea growth, picking, processing and circulation by using blockchain+NFT technology, and enhancing transparency and trust.

[0065] The application provides a tea garden cultivation intelligent management system based on blockchain.

[0066] (1) The tea garden cultivation intelligent management method and system based on blockchain uses blockchain distributed storage technology to allocate a unique Tea-Chain ID for each tea tree, encrypts growth data, agricultural records, supply chain information, etc. on the chain, calculates data integrity verification coefficient, ensures data cannot be tampered with, realizes full-chain traceability, and improves food safety supervision ability and market trust.

[0067] (2) The tea garden cultivation intelligent management method and system based on blockchain realizes intelligent monitoring and management of the whole tea production process through Internet of Things IoT and artificial intelligence AI. The system can automatically analyze soil moisture, nutrient content, pest and disease conditions, and based on intelligent contract, execute precise irrigation, intelligent fertilization and pest and disease control, improve agricultural management efficiency, and reduce resource waste.

[0068] (3) The tea garden cultivation intelligent management method and system based on blockchain combines emerging software to build an AI market prediction model, analyzes historical transaction data, market fluctuations and inventory level, calculates market demand coefficient DPR, accurately predicts tea demand, intelligently adjusts production and sales strategy, avoids inventory accumulation or market shortage, and improves tea farmer income and market competitiveness.

[0069] (4) The tea garden cultivation intelligent management method and system based on blockchain builds a new type of information service platform through blockchain+NFT technology, consumers can scan codes to view the whole process of tea planting, picking, processing and circulation, improve the transparency of tea quality and market credibility, and help the globalization development of tea brand. BRIEF DESCRIPTION OF DRAWINGS

[0070] Figure 1A block chain-based tea garden cultivation intelligent management system block diagram flow chart is provided in the present application;

[0071] Figure 2 A block chain-based tea garden cultivation intelligent management method step schematic diagram is provided in the present application. DETAILED DESCRIPTION

[0072] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0073] Embodiment 1

[0074] Please refer to Figure 1 The present application provides a block chain-based tea garden cultivation intelligent management system, comprising: a block chain data storage module, an Internet of Things sensing module, an intelligent contract-driven farm management module, an intelligent market analysis module and an information service platform module.

[0075] The block chain data storage module is used to assign a unique digital identity Tea-ChainID to each tea tree, and identify and bind its historical data, growth data, farm records and supply chain turnover information; a distributed ledger storage mechanism of block chain is adopted to chain the data and calculate the data integrity verification coefficient Iix, to ensure the non-tamperability, tea production transparency and traceability;

[0076] The Internet of Things sensing module is used to collect environmental data, tea tree growth data and pest data in real time, and process the data, and transmit the processed data to the block chain data storage module;

[0077] The intelligent contract-driven farm management module is used to execute intelligent farm management, and intelligently trigger farm tasks by calculating the irrigation trigger coefficient Wreq, the fertilization trigger coefficient Freq and the pest threat index PDI;

[0078] The intelligent market analysis module is used to establish an AI market prediction model to predict the market demand for tea, and to give production adjustment and sales strategies;

[0079] The information service platform module is used to establish an information service platform module, combine cross-chain technology, realize tea garden data interconnection and sharing; interface with food safety chain, agricultural product supply chain and international certification agency block chain network, improve global market credit; adopt block chain+NFT technology, support consumers to scan the code to trace the whole process of tea growth, picking, processing and circulation, and enhance transparency and trust.

[0080] In this embodiment, by using the distributed storage technology of blockchain, a unique Tea-ChainID is given to each tea tree, and combined with emerging software and Internet of Things sensing module, the tea tree growth environment and farm management data are collected in real time, ensuring that the data is tamper-proof and traceable. At the same time, through the smart contract driven farm management, combined with AI analysis of market demand, precise planting and supply chain optimization are realized. With the help of blockchain+NFT technology, consumers can scan the code to obtain the tea planting, picking, processing and flow process, enhance the market transparency and brand credibility, and help the digital upgrading of tea industry.

[0081] Embodiment 2, this embodiment is an explanation and description in embodiment 1, please refer to Figure 1 , Specifically, the blockchain data storage module comprises an identity establishing unit, a first collecting unit, a first calculating unit, a second calculating unit and a data verifying unit;

[0082] The identity establishing unit is used to give a unique digital identity Tea-ChainID to each tea tree in the tea garden, bind its historical data, growth data, farm records and supply chain information, and number T1, T2, T3……Tn; adopt the distributed ledger storage mechanism of blockchain to chain the data;

[0083] The first collecting unit is used to collect the coordinate information of tea trees, tea leaf DNA sampling information and the notarization timestamp information on the blockchain, and establish a first data set;

[0084] The first calculating unit is used to perform hash calculation by using Merkle Tree structure, combine the first data set data, and calculate the hash root HTea of the tea garden after dimensionless processing, the formula is as follows:

[0085]

[0086] In the formula, n represents the number of tea trees in the tea garden, T i represents the hash value corresponding to the digital identity information of the i-th tea tree, LG i represents the hash value corresponding to the coordinate information of the i-th tea tree, VD i represents the hash value corresponding to the leaf DNA sampling information of the i-th tea tree, BT i represents the hash value corresponding to the notarization timestamp information of the i-th tea tree on the blockchain.

[0087] In this embodiment, the system uses Tea-Chain ID to manage the digital identity of each tea tree through the blockchain distributed ledger technology, and combines Merkle Tree hash calculation to ensure data integrity and non-tamperability. By collecting coordinate information, leaf DNA data and timestamp evidence, a credible traceability system for the whole growth process of tea trees is established, enhancing the transparency of tea production and the supervision ability of the supply chain, and improving the market trust.

[0088] Embodiment 3, this embodiment is an interpretation and explanation in embodiment 2, please refer to Figure 1 Specifically, the second calculation unit is configured to calculate a data integrity check coefficient Iix based on the calculated hash root HTea of the tea garden, and the formula is as follows:

[0089]

[0090] In the formula, HTea cur represents the hash root value of the current tea garden, HTea sto represents the hash root value stored in the history of the tea garden;

[0091] The data verification unit is configured to obtain a first evaluation result by analyzing whether the data integrity check coefficient Iix is zero, including:

[0092] When the data integrity check coefficient Iix = 0, it means that the data is completely consistent and has no risk of tampering, and continuous monitoring is required.

[0093] When the data integrity check coefficient Iix ≠ 0, it means that the data does not match the stored data and has the risk of being tampered with, triggering a first early warning instruction and generating a first strategy: tracing the change history and restoring the correct data state.

[0094] In this embodiment, by calculating the hash root and the data integrity check coefficient Iix, the system can monitor the integrity and consistency of the tea garden data in real time. When Iix = 0, it means that the data has not been tampered with, ensuring the authenticity and reliability of the tea production data; if Iix ≠ 0, the system can trigger an early warning and trace the change history in time, ensuring the safety and traceability of the data, effectively preventing malicious tampering, and improving the supervision efficiency of the tea industry and the trust of consumers.

[0095] Embodiment 4, this embodiment is an interpretation and explanation in embodiment 1, please refer to Figure 1 Specifically, the Internet of Things sensing module includes a second acquisition unit, a data processing unit and a transmission unit.

[0096] The second acquisition unit is used for acquiring tea garden soil humidity values and nutrient contents by installing a soil analyzer, acquiring tea tree pest and disease distribution image data by installing a multispectral camera, and acquiring tea tree root depth by installing a geological radar;

[0097] The data processing unit is used for data preprocessing in the edge computing layer, including outlier rejection, data denoising, and formatting processing, and establishing a second data set after processing the data;

[0098] The transmission unit is used for sending the second data set data to the blockchain data storage module for storage by using LoRa technology.

[0099] In this embodiment, through various sensors and devices (such as soil analyzers, temperature sensors, humidity sensors, multispectral cameras, and geological radars) of the Internet of Things sensing module, the system can accurately collect environmental data, soil humidity, nutrient content, temperature and humidity, and pest and disease information of the tea garden, ensuring the comprehensiveness and accuracy of the data. The edge computing unit intelligently preprocesses the collected data, removes outliers and noise, and formats the data, ensuring efficient transmission of high-quality data. Through LoRa technology, the data is safely transmitted to the blockchain data storage module, improving the accuracy, real-time performance, and data security of tea garden management, and providing a reliable foundation for intelligent decision-making.

[0100] Embodiment 5, this embodiment is an explanation and description in embodiment 4, please refer to Figure 1 , Specifically, the smart contract driven agricultural management module includes a smart irrigation unit, a smart fertilization unit, and a smart pest and disease control unit.

[0101] The smart irrigation unit includes a third calculation subunit and a first analysis subunit, which are used for real-time monitoring of the tea garden environment and intelligent irrigation of the tea garden.

[0102] The third calculation subunit is used for calculating the irrigation trigger coefficient Wreq after dimensionless processing combined with the second data set data, and the formula is as follows:

[0103]

[0104] In the formula, SM cur represents the soil humidity value, SM opt represents the ideal soil humidity value, Afie represents the tea garden area, Droot represents the tea tree root depth, and CSx represents the soil water holding coefficient, as shown in the following table:

[0105] Soil type Soil water holding coefficient CSx Sandy soil 0.15 Loam soil 0.35 Clay soil 0.6 High organic matter soil 0.7

[0106] ; the first analysis subunit is used to preset a second threshold Q2 in advance, and compare and analyze the irrigation trigger coefficient Wreq with the second threshold Q2 to obtain a second evaluation result, which includes:

[0107] When the irrigation trigger coefficient Wreq is less than the second threshold Q2, it indicates that the tea garden does not need irrigation.

[0108] When the irrigation trigger coefficient Wreq is greater than or equal to the second threshold Q2, it indicates that the tea garden needs irrigation, and a second warning instruction is triggered to generate a second strategy: intelligent irrigation of the tea garden.

[0109] In this embodiment, the intelligent irrigation unit in the agricultural management module is driven by the smart contract, the system monitors the environmental data of the tea garden in real time, and intelligently judges whether the tea garden needs irrigation by accurately calculating the irrigation trigger coefficient Wreq. Based on factors such as soil moisture, tea tree root depth, and soil type, combined with information such as soil water holding coefficient, it is automatically calculated whether the irrigation demand is met, and compared and analyzed with the preset threshold to trigger the precise irrigation decision. The system effectively avoids over-irrigation or water shortage problems, saves water resources, and at the same time improves the precision and efficiency of irrigation.

[0110] Embodiment 6 is an explanation and description in embodiment 5. Please refer to Figure 1 , specifically, the intelligent fertilization unit includes a fourth calculation subunit and a second analysis subunit, which is used to monitor the soil environment of the tea garden in real time and intelligently fertilize the tea garden;

[0111] The fourth calculation subunit is used to calculate the fertilization trigger coefficient Freq after dimensionless processing combined with the second data set data, and the formula is as follows:

[0112]

[0113] In the formula, N soil represents the nutrient content of nitrogen per kilogram of soil, N opt represents the standard value of nitrogen content, P soil represents the nutrient content of phosphorus per kilogram of soil, P opt represents the standard value of phosphorus content, K soil represents the nutrient content of potassium per kilogram of soil, K opt represents the standard value of potassium content, and a represents the fertilization efficiency factor, as shown in the following table; w1, w2, and w3 represent weight coefficients, w1, w2, and w3 represent weight coefficients, 0<w1<1, 0<w2<1, 0<w3<1, and w1+w2+w3=1;

[0114] Soil type Fertilization efficiency factor a Sandy soil 0.7 Loam soil 0.9 Clay soil 0.85 High organic matter soil 1

[0115] The second analysis subunit is configured to preset a third threshold value Q3 in advance, compare the fertilization trigger coefficient Freq with the third threshold value Q3, and obtain a third evaluation result including:

[0116] When the fertilization trigger coefficient Freq is less than the third threshold value Q3, it indicates that the tea garden soil does not need fertilization.

[0117] When the fertilization trigger coefficient Freq is greater than or equal to the third threshold value Q3, it indicates that the tea garden soil needs fertilization, a third early warning instruction is triggered, and a third strategy of intelligent fertilization of the tea garden is generated.

[0118] In this embodiment, the intelligent contract drives the intelligent fertilization unit in the agricultural management module, and the system can calculate the fertilization trigger coefficient according to the real-time monitored tea garden soil environment data, intelligently judge whether fertilization is needed, combine the standard values of the nitrogen, phosphorus, potassium and other nutrient contents in the soil, and consider the soil type and fertilization efficiency factor, so as to accurately calculate the required fertilization amount. When the fertilization trigger coefficient exceeds the preset threshold value, the system will automatically trigger the fertilization strategy to ensure that the tea garden obtains the appropriate nutrient supply. This intelligent fertilization method not only improves the fertilizer use efficiency and reduces waste, but also effectively improves the soil health and promotes the good growth of tea trees.

[0119] Embodiment 7 is an explanation and description in Embodiment 5. Please refer to Figure 1 Specifically, the intelligent disease and pest control unit includes a fifth calculation subunit and a third analysis subunit, which are configured to monitor the health status of tea trees in the tea garden in real time and intelligently control diseases and pests of the tea trees.

[0120] The fifth calculation subunit is configured to combine the second data set data, perform non-dimensional processing, and calculate a disease and pest threat index PDI according to the following formula:

[0121]

[0122] In the formula, Abh t represents the proportion of the pest damage area at time t, Abh t+1 represents the proportion of the pest damage area at time t+1, Ach t represents the proportion of the disease damage area at time t, Ach t+1 represents the proportion of the disease damage area at time t+1, Δt represents the sampling interval time, ρ represents the tea tree density value of the tea garden, R resis represents the historical disease resistance coefficient of the tea tree.

[0123] The third analysis subunit is configured to preset a fourth threshold value Q4 in advance, compare the disease and pest threat index PDI with the fourth threshold value Q4, and obtain a fourth evaluation result including:

[0124] When the pest threat index PDI is less than the fourth threshold Q4, it indicates that the tea trees are not threatened by pests, and pesticide spraying is not required.

[0125] When the pest threat index PDI is greater than or equal to the fourth threshold Q4, it indicates that the tea trees are threatened by pests, triggering a fourth early warning instruction and generating a fourth strategy: intelligent pesticide spraying for the tea trees in the tea garden.

[0126] In this embodiment, through the intelligent pest control unit, the system can monitor the health status of the tea trees in the tea garden in real time and intelligently judge according to the pest threat index. When the pest threat index exceeds the preset threshold, the system automatically triggers an early warning and generates an intelligent pesticide spraying strategy. By analyzing the temperature, humidity, pest and disease damage in the past seven days, as well as the historical disease resistance of the tea trees, the system can accurately identify the risk of pests and diseases, thereby achieving precise pesticide application. This intelligent pest control method can significantly reduce the overuse of pesticides, reduce environmental pollution, and effectively protect the health of tea trees.

[0127] Embodiment 8, this embodiment is an explanation and description in embodiment 1, please refer to Figure 1 , Specifically, the intelligent market analysis module includes an AI market prediction model establishing unit, a fifth calculation unit and a fourth analysis unit;

[0128] The AI market prediction model establishing unit is configured to use a convolutional neural network to construct a convolutional neural network initial model, and train and test the convolutional neural network initial model with historical transaction data, and use the trained convolutional neural network initial model as an AI market prediction model. At the same time, use the intermediate layer output of the inventory factor and the market price fluctuation factor as a feature vector to identify feature information, and train and test the AI market prediction model through the obtained feature information, and use the trained AI market prediction model as data operation to predict the market demand for tea;

[0129] The fifth calculation unit is configured to calculate the market demand coefficient DPR after non-dimensional processing combined with historical data, and the formula is as follows:

[0130] DPR = w4 * lsc + w5 * kc + w6 * Pprice;

[0131] In the formula, lsc represents the historical yield of the tea garden, kc represents the inventory, Pprice represents the fluctuation rate of the market price compared with the historical price, w4, w5 and w6 represent weight coefficients, w4, w5 and w6 represent weight coefficients, 0 < w4 < 1, 0 < w5 < 1, 0 < w6 < 1, and w4 + w5 + w6 = 1;

[0132] The fourth analysis unit is used to obtain a fifth evaluation result by presetting a fifth threshold Q5 in advance and comparing the market demand coefficient DPR with the fifth threshold Q5, which includes:

[0133] When the market demand coefficient DPR is less than the fifth threshold Q5, it indicates that the demand for tea is insufficient, which may lead to overstock and inventory accumulation, triggering a fifth early warning instruction and generating a fifth strategy: stimulating consumer purchases through promotion and discount to clear inventory; and intelligently adjusting production calculation.

[0134] When the market demand coefficient DPR is equal to the fifth threshold Q5, it indicates that the demand for tea is unchanged, and no adjustment is made, and continuous monitoring is performed.

[0135] When the market demand coefficient DPR is greater than the fifth threshold Q5, it indicates that the demand for tea exceeds the supply level, which may lead to a shortage, triggering a sixth early warning instruction and generating a sixth strategy: adjusting production calculation and increasing price to balance supply and demand and expanding the scale of tea gardens.

[0136] In this embodiment, through the AI market prediction model, the system uses a convolutional neural network (CNN) to analyze historical transaction data, inventory information, and market price fluctuations to accurately predict the market demand for tea. When the market demand coefficient DPR is lower than the preset threshold, the system can automatically trigger an early warning and propose a promotion strategy to clear inventory; when the demand exceeds the supply, the system adjusts the production plan and increases the price to balance the market supply and demand. This intelligent prediction and control scheme based on artificial intelligence and big data analysis effectively avoids the risk of tea overstock or shortage.

[0137] Embodiment 9, this embodiment is an explanation and description made in Embodiment 1, please refer to Figure 1 Specifically, the information service platform module is used to establish an information service platform, realize data interconnection and sharing of tea gardens in different regions by combining cross-chain technology, improve the credit of tea in the global market by connecting the blockchain networks of food safety chains, agricultural product supply chains and international certification agencies, and ensure the traceability certification of tea; the platform uses blockchain+NFT technology to provide visual tea garden traceability services for consumers, and consumers can scan the blockchain label on the tea packaging to view the growth, picking, processing and circulation data of the batch of tea, and enhance the transparency and trust.

[0138] In this embodiment, by establishing an intelligent information service platform based on blockchain and NFT technology, every step of tea production and circulation can be traced. Consumers can scan the blockchain label on the tea packaging to view detailed tea traceability data, including growth, picking, processing and circulation information. Through the connection of the blockchain network with the global food safety chain, agricultural product supply chain and international certification agencies, the platform improves the global credit of tea and ensures its authenticity and safety. This new information service platform enhances market transparency and establishes consumer trust.

[0139] Embodiment 10, a blockchain-based tea garden cultivation intelligent management method, please refer to Figure 2 , comprising the following steps:

[0140] Step one, assign a unique Tea-Chain ID to each tea tree or tea garden batch, and bind its growth data, farming records and supply chain information; use the blockchain distributed ledger storage mechanism to encrypt the data on the chain, ensure the data's non-tamperability and traceability; calculate the data integrity verification coefficient Iix to verify the data consistency;

[0141] Step two, deploy IoT sensing devices to collect environmental data, tea tree growth data and pest data in real time, and process the data, then transmit the processed data to the blockchain data storage module;

[0142] Step three, intelligently trigger farming tasks by calculating the irrigation trigger coefficient Wreq, the fertilization trigger coefficient Freq and the pest threat index PDI respectively, and comparing them with the threshold values;

[0143] Step four, predict the market demand for tea by establishing an AI market prediction model, and give production adjustment and sales strategies;

[0144] Step five, through the establishment of an information service platform, combined with cross-chain technology, realize the interconnection and sharing of tea garden data; connect the food safety chain, agricultural product supply chain and international certification agency blockchain network to improve the global market credit; use blockchain+NFT technology to support consumers to scan the code to trace the growth, picking, processing and circulation of tea, and enhance transparency and trust.

[0145] In this embodiment, by combining blockchain, Internet of Things, AI and NFT technology, a new intelligent tea garden management platform is established to ensure the non-tamperability and traceability of the growth data, farming records and supply chain information of each tea tree or tea garden batch. The platform collects tea garden environmental data in real time by deploying Internet of Things sensing devices, and ensures data interconnection and sharing of tea gardens in different regions through new information service platforms and cross-chain technologies. At the same time, an AI market prediction model is used to analyze tea demand and provide dynamic production and sales strategies. Combined with blockchain+NFT, comprehensive tea traceability information is provided to consumers to enhance the transparency and trust of the global market.

[0146] The setting of the size of the threshold is for the convenience of comparison. The size of the threshold depends on how much sample data and the base number set by the person skilled in the art for each group of sample data; as long as it does not affect the proportional relationship of the parameters and the quantized values. The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value. The coefficients in the formula are set by the person skilled in the art according to the actual situation. The above is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art within the technical scope disclosed by the present application, according to the technical scheme and the inventive concept of the present application, should be covered within the protection scope of the present application.

Claims

1. A blockchain-based intelligent management system for tea garden cultivation, characterized in that, It includes a blockchain data storage module, an IoT sensing module, a smart contract-driven agricultural management module, a smart market analysis module, and an information service platform module; The blockchain data storage module is used to assign a unique digital identity, Tea-Chain ID, to each tea tree and identify and bind its historical data, growth data, agricultural records, and supply chain flow information; it adopts the distributed ledger storage mechanism of blockchain to put the data on the chain and calculate the data integrity verification coefficient Iix to ensure immutability, transparency and traceability of tea production; The IoT sensing module is used to collect environmental data, tea tree growth data, and pest and disease data in real time, process the data, and transmit the processed data to the blockchain data storage module. The smart contract-driven agricultural management module is used to perform intelligent agricultural management. It intelligently triggers agricultural tasks by calculating the irrigation trigger coefficient Wreq, the fertilization trigger coefficient Freq, and the pest and disease threat index PDI. The intelligent market analysis module is used to establish an AI market forecasting model to predict the market demand for tea and provide production adjustments and sales strategies. The information service platform module is used to establish an information service platform module, which, combined with cross-chain technology, enables data exchange and sharing among tea gardens; connects with the food safety chain, agricultural product supply chain, and international certification body blockchain network to enhance global market credibility; and adopts blockchain + NFT technology to support consumers in scanning codes to trace the entire process of tea growth, picking, processing, and distribution, thereby enhancing transparency and trust.

2. The intelligent management system for tea garden cultivation based on blockchain according to claim 1, characterized in that: The blockchain data storage module includes an identity establishment unit, a first collection unit, a first calculation unit, a second calculation unit, and a data verification unit; The establishment of identity units is used to assign a unique digital identity, Tea-Chain ID, to each tea tree in the tea garden, identifying and binding its historical data, growth data, agricultural records, and supply chain flow information, and numbering them T1, T2, T3...Tn; the distributed ledger storage mechanism of blockchain is used to put the data on the chain; The first acquisition unit is used to acquire the coordinate information of the tea tree, the DNA sampling information of the tea leaves, and the evidence storage timestamp information on the blockchain and establish the first dataset; The first computing unit is used to perform hash calculations using a Merkle Tree structure. After dimensionless processing of the data in the first dataset, it calculates and obtains the hash value HTea of ​​the tea garden, as shown in the following formula: In the formula, n represents the number of tea trees in the tea garden, and T i LG represents the hash value corresponding to the digital identity information of the i-th tea tree. i VD represents the hash value corresponding to the coordinates of the i-th tea tree. i BT represents the hash value corresponding to the DNA sampling information of the leaves of the i-th tea tree. i This represents the hash value corresponding to the blockchain's notarized timestamp information for the i-th tea tree.

3. The intelligent management system for tea garden cultivation based on blockchain according to claim 2, characterized in that: The second calculation unit is used to calculate the data integrity verification coefficient Iix based on the hash root HTea of ​​the tea garden obtained through calculation, as shown in the following formula: In the formula, HTea cur This represents the hash root value of the current tea garden, HTea. sto This represents the hash root value stored in the history of the tea garden. The data verification unit is used to obtain a first evaluation result by analyzing whether the data integrity verification coefficient Iix is ​​zero, including: When the data integrity verification coefficient Iix = 0, it means that the data is completely consistent, there is no risk of tampering, and continuous monitoring is required. When the data integrity verification coefficient Iix≠0, it indicates that the data does not match the stored data and there is a risk of tampering. This triggers the first warning instruction and generates the first strategy: trace the change history and restore the correct data state.

4. The intelligent management system for tea garden cultivation based on blockchain according to claim 1, characterized in that: The IoT sensing module includes a second acquisition unit, a data processing unit, and a transmission unit; The second acquisition unit is used to acquire soil moisture and nutrient content in the tea garden by installing a soil analyzer; to acquire image data of tea tree pest and disease distribution by installing a multispectral camera; and to acquire tea tree root depth by installing ground-penetrating radar. The data processing unit is used to perform data preprocessing at the edge computing layer, including outlier removal, data denoising and formatting, and to build a second dataset from the processed data. The transmission unit is used to send the second dataset data to the blockchain data storage module for storage using LoRa technology.

5. The intelligent management system for tea garden cultivation based on blockchain according to claim 4, characterized in that: The smart contract-driven agricultural management module includes a smart irrigation unit, a smart fertilization unit, and a smart pest and disease control unit. The intelligent irrigation unit includes a third calculation subunit and a first analysis subunit, which are used to monitor the tea garden environment in real time and carry out intelligent irrigation of the tea garden; The third calculation subunit is used to combine the second dataset data, after dimensionless processing, to calculate and obtain the irrigation trigger coefficient Wreq, as shown in the following formula: In the formula, SM cur SM represents soil moisture value. opt The ideal soil moisture value is represented by Afie, the area of ​​the tea garden is represented by Droot, the root depth of the tea tree is represented by CSx, and the soil water holding capacity coefficient is represented by CSx. The first analysis subunit is used to pre-set a second threshold Q2 and compare the irrigation trigger coefficient Wreq with the second threshold Q2 to obtain a second evaluation result, including: When the irrigation trigger coefficient Wreq < the second threshold Q2, it means that the tea garden does not need irrigation; When the irrigation trigger coefficient Wreq ≥ the second threshold Q2, it indicates that the tea garden needs irrigation, triggering the second early warning instruction and generating the second strategy: to carry out intelligent irrigation for the tea garden.

6. The intelligent management system for tea garden cultivation based on blockchain according to claim 5, characterized in that: The intelligent fertilization unit includes a fourth calculation subunit and a second analysis subunit, which are used to monitor the soil environment of the tea garden in real time and to carry out intelligent fertilization of the tea garden. The fourth calculation subunit is used to combine the data from the second dataset, and after dimensionless processing, calculate and obtain the fertilization trigger coefficient Freq, as shown in the following formula: In the formula, N soil This indicates the nitrogen nutrient content per kilogram of soil, N. opt The standard value representing nitrogen content, P soil P represents the phosphorus nutrient content per kilogram of soil. opt The standard value for phosphorus content, K soil This indicates the potassium nutrient content per kilogram of soil, K. opt The standard value for potassium content is represented by α, the fertilizer efficiency factor is represented by w1, w2 and w3, and the weighting coefficients are represented by w1, w2 and w3. The second analysis subunit is used to pre-set a third threshold Q3 and compare the fertilization trigger coefficient Freq with the third threshold Q3 to obtain the third evaluation result, including: When the fertilization trigger coefficient Freq < the third threshold Q3, it means that the tea garden soil does not need fertilization; When the fertilization trigger coefficient Freq ≥ the third threshold Q3, it indicates that the tea garden soil needs fertilization, triggering the third early warning instruction and generating the third strategy: intelligent fertilization of the tea garden.

7. The intelligent management system for tea garden cultivation based on blockchain according to claim 5, characterized in that: The intelligent pest and disease control unit includes a fifth calculation subunit and a third analysis subunit, which are used to monitor the health status of tea trees in the tea garden in real time and carry out intelligent pest and disease control for tea trees. The fifth calculation subunit is used to combine the data from the second dataset, perform dimensionless processing, and calculate the Pest and Disease Threat Index (PDI) using the following formula: In the formula, Abh t Abh represents the percentage of insect-damaged area at time t. t+1 Ach represents the percentage of insect-damaged area at time t+1. t Ach represents the percentage of diseased area at time t. t+1 The value represents the percentage of diseased area at time t+1, Δt represents the sampling interval, ρ represents the tea tree density in the tea garden, and R... resis Indicates the historical disease resistance coefficient of tea trees; The third analysis subunit is used to pre-set a fourth threshold Q4, and compare the Pest and Disease Threat Index (PDI) with the fourth threshold Q4 to obtain the fourth assessment result, including: When the Pest and Disease Threat Index (PDI) is less than the fourth threshold (Q4), it means that the tea trees are not threatened by pests and diseases and do not need to be sprayed with pesticides. When the Pest and Disease Threat Index (PDI) is greater than or equal to the fourth threshold (Q4), it indicates that the tea trees are threatened by pests and diseases, triggering the fourth early warning instruction and generating the fourth strategy: intelligently spraying pesticides on the tea trees in the tea garden.

8. The intelligent management system for tea garden cultivation based on blockchain according to claim 1, characterized in that: The intelligent market analysis module includes an AI market prediction model building unit, a fifth calculation unit, and a fourth analysis unit; The AI ​​market prediction model building unit is used to construct an initial convolutional neural network model using a convolutional neural network, train and test the initial convolutional neural network model with historical transaction data, and use the trained initial convolutional neural network model as the AI ​​market prediction model. At the same time, the intermediate layer output of inventory factors and market price fluctuation factors is used as feature vectors to identify feature information. The AI ​​market prediction model is trained and tested using the acquired feature information, and the trained AI market prediction model is run as data to predict the market demand for tea. The fifth calculation unit is used to calculate the market demand coefficient (DPR) by combining historical data and processing it dimensionlessly, as shown in the following formula: DPR=w4*lsc+w5*kc+w6*Pprice; In the formula, lsc represents the historical output of the tea garden, kc represents the inventory, Pprice represents the volatility of the market price compared with the historical price, and w4, w5 and w6 represent the weighting coefficients. The fourth analysis unit is used to obtain the fifth evaluation result by pre-setting a fifth threshold Q5 and comparing the market demand coefficient DPR with the fifth threshold Q5, including: When the market demand coefficient DPR is less than the fifth threshold Q5, it indicates that the demand for tea is insufficient, which may lead to unsold tea and inventory backlog. This triggers the fifth warning instruction and generates the fifth strategy: stimulate consumer purchases and clear inventory through promotions and discounts; and intelligently adjust production calculations. When the market demand coefficient DPR = the fifth threshold Q5, it means that the demand for tea remains unchanged and will not be adjusted, but will be continuously monitored. When the market demand coefficient DPR exceeds the fifth threshold Q5, it indicates that the demand for tea exceeds the supply level, and there is a risk of supply falling short of demand. This triggers the sixth warning instruction and generates the sixth strategy: adjust production calculations, increase prices to balance supply and demand, and expand the scale of tea gardens.

9. The intelligent management system for tea garden cultivation based on blockchain according to claim 1, characterized in that: The information service platform module is used to establish an information service platform, combining cross-chain technology to achieve data interoperability and sharing among tea gardens in different regions; by connecting with the blockchain network of food safety chains, agricultural product supply chains and international certification bodies, it enhances the credibility of tea in the global market and ensures the traceability and certification of tea; the platform adopts blockchain + NFT technology to provide consumers with a visualized tea garden traceability service. Consumers can scan the blockchain tag on the tea packaging to view the entire process data of the growth, harvesting, processing and circulation of that batch of tea, enhancing transparency and trust.

10. A blockchain-based intelligent management method for tea garden cultivation, comprising the blockchain-based intelligent management system for tea garden cultivation as described in any one of claims 1 to 9, characterized in that: Includes the following steps: Step 1: Assign a unique Tea-Chain ID to each tea tree or tea garden batch and bind it to its growth data, agricultural records, and supply chain information; use a blockchain distributed ledger storage mechanism to encrypt and upload the data to the chain to ensure the immutability and traceability of the data; calculate the data integrity verification coefficient Iix to verify data consistency. Step 2: Deploy IoT sensing devices to collect environmental data, tea tree growth data, and pest and disease data in real time, process the data, and transmit the processed data to the blockchain data storage module. Step 3: By calculating the irrigation trigger coefficient Wreq, the fertilization trigger coefficient Freq, and the pest and disease threat index PDI respectively, and comparing them with the threshold, the agricultural tasks are intelligently triggered. Step 4: By establishing an AI market forecasting model, predict the market demand for tea and provide production adjustments and sales strategies. Step 5: By establishing an information service platform and combining cross-chain technology, achieve data exchange and sharing among tea gardens; connect with the food safety chain, agricultural product supply chain, and international certification body blockchain networks to enhance global market credibility; and adopt blockchain + NFT technology to support consumers in scanning codes to trace the entire process of tea growth, harvesting, processing, and distribution, thereby enhancing transparency and trust.

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