Supply and demand docking method for agricultural socialization service

Abstract

The invention discloses an agricultural socialization service supply and demand docking method, and relates to the technical field of service supply and demand docking. The method comprises the following steps: obtaining service demand farmers, collecting historical service information of the service demand farmers, and determining the number of service docking persons; establishing a social graph of the service demand peasant households, and evaluating to obtain the propagation strength of the service demand peasant households; acquiring personal information of service demand farmers, and evaluating to obtain decision-making strength of the service demand farmers; collecting interaction information of the service demand peasant households, and evaluating to obtain public trust strength of the service demand peasant households; performing evaluation by combining the propagation strength, the decision-making strength and the public trust strength to obtain the docking adaptation strength of the service demand peasant households; service docking persons are selected according to the docking adaptation strength and the number of the service docking persons, and the service supply user and the service docking persons are docked with the agricultural socialization service. According to the invention, the convenience of supply-demand docking of agricultural socialization services is improved.

Description

Technical Field

[0001] The present application relates to the technical field of service supply and demand docking, and in particular to a method for docking agricultural socialized service supply and demand. Background Art

[0002] Agricultural socialized services refer to specialized services provided to agricultural producers, including the supply of agricultural inputs, agricultural machinery operations, plant protection and pest control, technical guidance, and warehousing and logistics. They are a crucial pillar of modern agricultural development. Agricultural production, especially for smallholder farmers operating in a decentralized manner, commonly faces information asymmetry regarding service needs and inefficient resource matching. While some existing online platforms can provide basic service information dissemination, establishing effective trust between supply and demand sides is difficult. Service demanders (such as farmers) often face opaque service standards and difficulty ensuring operational effectiveness due to a lack of verification of service provider qualifications and traceable records of past service quality. Service providers (such as agricultural machinery cooperatives and aerial spraying organizations) are unable to accurately reach the true demand groups, resulting in idle service resources and imbalanced regional scheduling. Existing technologies only enable one-way information storage and retrieval. This bidirectional information barrier between supply and demand not only results in high service matching costs and delayed responses, but also severely hinders the scale-up and standardization of modern agricultural services. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for connecting the supply and demand of agricultural socialized services to solve the problems raised in the above-mentioned background technology.

[0004] This application provides a method for connecting agricultural social service supply and demand, which adopts the following technical solutions:

[0005] Obtain farmers who need services, collect their historical service information, and determine the number of service contacts based on the historical service information;

[0006] Establish a social graph of farmers who need services, and evaluate the communication strength of farmers who need services based on the social graph;

[0007] Collect personal information of farmers who need services, and evaluate the decision-making strength of farmers who need services based on their personal information;

[0008] Collect interaction information of farmers who need services, and evaluate the public trust of farmers who need services based on the interaction information;

[0009] The degree of adaptability to farmers’ service needs is assessed by combining communication strength, decision-making strength, and public trust strength;

[0010] Service connectors are selected based on the docking adaptation strength and the number of service connectors, and service supply users and service connectors are connected to agricultural social services.

[0011] Preferably, the steps of obtaining farmers who need services, collecting historical service information of farmers who need services, and determining the number of service connection persons according to the historical service information are specifically as follows:

[0012] Collect the real-time service needs of farmers who need services, and calculate the average service scale of real-time service needs;

[0013] Collect the service demand duration of farmers who need services, estimate the actual service duration based on the average service scale, and determine whether the service demand duration is less than the actual service duration;

[0014] If it is less than the actual service time, the actual service scale of the farmers in need of service is obtained, and the number of scale contacts is determined based on the actual service scale;

[0015] If it is not less than the actual service time, the number of scale contacts will be determined based on the average service scale;

[0016] Extract the average number of contacts for real-time demand services based on historical service information as the number of historical contacts;

[0017] The average of the number of scale contacts and the number of historical contacts is calculated as the number of service contacts.

[0018] Preferably, the steps of establishing a social graph of farmers in need of services and evaluating the communication strength of farmers in need of services based on the social graph are specifically as follows:

[0019] Acquiring service communication information between farmers in need of services, wherein the service communication information includes average communication frequency, average communication duration, and average service information exchange volume between farmers in need of services;

[0020] The average transmission volume is obtained based on the average communication time and the average service information exchange volume, and a correlation curve between the average transmission volume and the path line length is established;

[0021] The corresponding path length is found based on the average communication volume and association curve between the service-demanding farmers. The service-demanding farmers whose average communication frequency reaches the preset communication frequency threshold are connected according to the corresponding path length to obtain a social graph.

[0022] The communication scope and speed of farmers who need services are analyzed based on the social graph, and the communication intensity is obtained by combining the communication scope and speed.

[0023] Preferably, the step of analyzing the dissemination range and dissemination speed of farmers who demand services based on the social graph and obtaining the dissemination strength by integrating the dissemination range and the dissemination speed is specifically as follows:

[0024] Obtain the active communication frequency of farmers who need services, and calculate the average output information volume of farmers who need services;

[0025] The individual activity of farmers with service needs is obtained by combining the active communication frequency and the average amount of output information;

[0026] Screening service-demand farmers whose personal activity is lower than a preset activity threshold as dissemination-stopped farmers;

[0027] According to the social graph and the dissemination of farmers, the dissemination range of farmers in need of services is obtained;

[0028] The speed of dissemination of service-demanding farmers is calculated based on personal activity and social graph, and the intensity of dissemination is obtained by combining the dissemination range.

[0029] Preferably, the steps of collecting personal information of farmers in need of services and evaluating the decision-making strength of farmers in need of services based on the personal information are specifically as follows:

[0030] Collecting personal information of farmers who need services, including personal position, historical decision-making information, and personal selection information;

[0031] Determine whether the service-demanding farmer has the service decision-making power based on his or her personal position. If so, obtain the scope of the service decision-making power.

[0032] The historical decision information includes the decision accuracy, average decision matching degree and average decision satisfaction of farmers in need of services;

[0033] The decision quality of farmers with service needs is evaluated based on historical decision information, the decision efficiency of farmers with service needs is evaluated based on personal choice information, and the decision strength of farmers with service needs is obtained by combining decision efficiency, decision quality and decision scope.

[0034] Preferably, the step of evaluating the decision efficiency of farmers in need of services based on personal selection information is specifically as follows:

[0035] Extract the average decision cycle and average number of decision plans of farmers with service needs based on historical decision information;

[0036] Count the number of service solutions corresponding to the real-time demand services, and calculate the difference between the number of service solutions and the average number of decision solutions;

[0037] The estimated decision cycle is obtained based on the difference in the number of options and the average decision cycle;

[0038] The personal selection speed of farmers in need of services is evaluated based on personal selection information, and the decision efficiency of farmers in need of services is evaluated based on the estimated decision cycle.

[0039] Preferably, the step of evaluating the personal selection speed of the farmers in need of services based on the personal selection information is specifically as follows:

[0040] The average selection time of farmers who make different types of choices based on the statistical service demand of personal selection information;

[0041] Obtain the correlation between different types of choices and agricultural social services, and combine the average selection time of each type to obtain the first selection speed;

[0042] Obtain the importance of real-time demand services, establish a correlation curve between the importance of service demand farmers and the selection speed, and find the corresponding second selection speed based on the correlation curve;

[0043] The average of the first and second selection speeds is calculated as the individual selection speed of the service-demanding farmers.

[0044] Preferably, the step of collecting the interactive information of the farmers who need services and evaluating the public trust of the farmers who need services based on the interactive information is specifically as follows:

[0045] The average trust strength of farmers who demand services in their personal positions is obtained as the position trust strength;

[0046] The reputation and technical experience of farmers who need services are extracted based on the interactive information, and the personal trust of farmers who need services is obtained by combining the trust in their positions.

[0047] The percentage of the planting volume of farmers with service demand to the planting volume of all farmers with service demand is used as the planting trust strength;

[0048] The familiarity between farmers with service needs and other farmers with service needs is evaluated based on interactive information, and the public trust of farmers with service needs is obtained by combining personal trust and planting trust.

[0049] Preferably, the step of evaluating the familiarity between the service-demanding farmer and other service-demanding farmers based on the interactive information is specifically as follows:

[0050] Count the interaction time between farmers with service needs and farmers with other service needs based on the interaction information;

[0051] Based on the interactive information, we calculated the information disclosure rate of farmers with service needs, the active consultation rate of farmers with other service needs, and the personal familiarity by combining the interaction time;

[0052] Based on the historical service information, the ratio of the number of times farmers with service needs act as the contact person to the total number of contacts is calculated, and combined with personal familiarity, the degree of familiarity between farmers with service needs and other farmers with service needs is obtained.

[0053] Preferably, the step of evaluating the matching strength of farmers with service needs by combining the communication strength, decision-making strength and public trust strength is specifically as follows:

[0054] If the farmers who need services have the power to decide on services, the strength of decision-making will be used as the strength of docking and adaptation of farmers who need services;

[0055] If farmers in need of services do not have the right to decide on services, the matching and adaptation strength of farmers in need of services will be comprehensively obtained based on the communication strength, decision-making strength and public trust.

[0056] In summary, this application includes at least one of the following beneficial technical effects:

[0057] 1. Collect the real-time service needs of farmers seeking services and calculate the average service scale of these services. Based on meeting farmers' service needs, determine the number of scaled contacts based on the duration of service requests and the average service scale. Extract historical service information and the average number of contacts for real-time services as the historical contact number. Calculate the average of the number of scaled contacts and the number of historical contacts as the service contact number. Calculate the average of the number of scaled contacts and the number of historical contacts as the service contact number. Calculate the average diffusion volume based on the average communication duration and average service information exchange between farmers seeking services. Create a correlation curve between the average diffusion volume and path length, find the corresponding path length, and connect farmers seeking services whose average communication frequency reaches a preset communication frequency threshold along the corresponding path length to generate a social graph. Calculate the individual activity level of farmers seeking services based on their active communication frequency and average output information volume. Terminate farmers whose individual activity levels fall below the threshold. Calculate the diffusion range of farmers seeking services from the social graph. Calculate the diffusion speed of farmers seeking services based on their individual activity levels and the social graph, and combine this with the diffusion range to determine the diffusion intensity. Combined with the assessed decision-making strength of farmers in need of services and the public's trust, the matching strength of farmers in need of services is assessed. Service partners are selected based on the number of partners available, and service providers are then connected to these partners for agricultural socialized services. Comprehensively selecting partners for agricultural socialized services can reduce unnecessary matching work, alleviate ineffective workload for both supply and demand sides, and improve the convenience of connecting the supply and demand of agricultural socialized services.

[0058] 2. Based on the individual position of the service-demanding farmer, determine whether the farmer has the authority to make service decisions. If so, determine the scope of that authority. Evaluate the decision quality of the service-demanding farmer based on their decision accuracy, average decision matching, and average decision satisfaction. Count the number of service plans corresponding to the real-time service needs and calculate the difference between the number of service plans and the average number of decision plans for the service-demanding farmer. Calculate the estimated decision cycle based on this difference in the number of plans and the average decision cycle for the service-demanding farmer. Calculate the first choice speed based on the average time it takes for the farmer to make different choices and the correlation between each choice and the type of agricultural socialized service. Calculate the second choice speed based on the importance of the real-time service needs. The average of this and the first choice speed is used as the individual choice speed of the service-demanding farmer. Combined with the estimated decision cycle, the decision efficiency of the service-demanding farmer is evaluated. Finally, the decision strength of the service-demanding farmer is determined by combining the decision quality and scope. Assessing the decision-making strength of farmers in need of services is conducive to selecting farmers with greater decision-making power and ability as liaisons. Decisions made in this way are not only more beneficial to the service quality of other farmers, but also reduce unnecessary docking, reduce losses caused by incorrect docking decisions, and improve the decision-making accuracy of agricultural social service supply and demand docking.

[0059] 3. Position trust is calculated by combining the average trust level of service-seeking farmers in their individual positions with their reputation and technical experience to determine the individual trust level of the service-seeking farmers. Planting trust is calculated as the percentage of the planting volume of the service-seeking farmers relative to the planting volume of all service-seeking farmers. Based on interaction information, the length of interaction between the service-seeking farmers and other service-seeking farmers, their information disclosure rate, and their proactive consultation rate with other service-seeking farmers are used to determine individual familiarity. Combined with historical service information, the ratio of the number of service-seeking farmers as contact persons to the total number of contact times is used to determine the familiarity level of the service-seeking farmers with other service-seeking farmers. Finally, the public trust level of the service-seeking farmers is calculated by combining the personal trust level and the planting trust level. Furthermore, if the service-seeking farmers have the power to make service decisions, the decision-making power is used as the service-seeking farmer's adaptation level. If the service-seeking farmers do not have the power to make service decisions, the adaptation level of the service-seeking farmers is calculated based on the communication power, decision-making power, and public trust level. Assessing public trust is conducive to selecting matching services from people who are more worthy of other farmers' trust. It can quickly promote the implementation of agricultural social services based on the premise of trust and improve the efficiency of matching supply and demand of agricultural social services. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a schematic diagram of the specific steps of an embodiment of a method for connecting supply and demand of agricultural socialized services of the present invention. DETAILED DESCRIPTION

[0061] Below is a combination of the embodiments and Figure 1 The present invention will be described in further detail, but the embodiments of the present invention are not limited thereto.

[0062] The present invention discloses a method for connecting agricultural socialized service supply and demand, which specifically includes the following steps:

[0063] Step S1: Obtain farmers who need services, collect historical service information of farmers who need services, and determine the number of service contacts based on the historical service information.

[0064] Step S2: Establish a social graph of farmers who need services, and evaluate the communication strength of farmers who need services based on the social graph.

[0065] Step S3: collecting personal information of farmers who need services, and evaluating the decision-making strength of farmers who need services based on the personal information.

[0066] Step S4: Collect interaction information of farmers who need services, and evaluate the public trust level of farmers who need services based on the interaction information.

[0067] Step S5, combining the communication strength, decision-making strength and public trust strength to evaluate the docking adaptation strength of farmers with service needs.

[0068] Step S6: Select a service docking person based on the docking adaptation strength and the number of service docking persons, and the service supply user and the service docking person are docked for agricultural social services.

[0069] For example, if there are five service connectors, the five people with the highest adaptability will be selected as service connectors, and all service supply users will connect with these five connectors.

[0070] In practice, some individual farmers face difficulties accessing the service information sent by service providers to the platform due to their limited online access. Even when farmers can access service information from service providers, it's generally limited to one-way retrieval. On the one hand, farmers lack familiarity with the service providers; on the other hand, due to a lack of information and lack of prior contact with them, they lack trust in the service information. This results in service seekers struggling to find suitable services, while service providers face a lack of clients. Individual farmers, however, lack organization and operate independently. These large numbers of farmers would require significant human resources to connect with all of them, resulting in a waste of resources. In agriculture, these farmers typically obtain service information through word of mouth. Therefore, selecting service partners from these individuals not only reduces resource investment but also facilitates faster service connection. For example, consider a village with 20 individual farmers. Due to their farming activities and other factors, these farmers rarely access the internet. Furthermore, they are cautious about online information and therefore tend to be less trusting of service information on online platforms. If the service provider connects with all 20 households, it would require a lot of resources and time. However, if they choose Farmer A as the connection point, Farmer A will quickly spread the information and the other farmers will trust Farmer A. Therefore, the service connection with all 20 individual households can be completed quickly through Farmer A.

[0071] The steps for obtaining farmers who need services, collecting their historical service information, and determining the number of service contacts based on the historical service information are as follows:

[0072] Step S11 , collecting the real-time service demands of farmers who need services, and calculating the average service scale of the real-time service demands.

[0073] There are many types of agricultural social services, including sowing, harvesting, pesticide spraying, and more. We collect real-time service needs from farmers and calculate the average service scale of these services over the past service history. The average service scale refers to the average service area covered by a given service. For example, a farmer currently needs harvesting services. Historically, Site A has 200 mu of land. On average, five service providers were selected each time, so each provider covered 40 mu of land. The average service scale is five providers, each covering 40 mu of land.

[0074] Step S12: collecting the service demand duration of the farmers who need services, estimating the actual service duration according to the average service scale, and judging whether the service demand duration is less than the actual service duration.

[0075] The farmer's service demand duration refers to how long they need the service to be completed, i.e., the maximum acceptable service duration. The actual service duration is calculated based on the farmer's existing farmland and the average service scale. For example, if the average service scale is 5 service providers, each servicing 40 mu of farmland, it will take 3 days to complete the service. If the farmer's service demand duration is 5 days, the service demand duration must not be less than the actual service duration.

[0076] Step S13: If it is less than the actual service time, the actual service scale of the farmers in need of service is obtained, and the number of scale connection persons is determined based on the actual service scale.

[0077] If the service duration is shorter than the actual service duration, it means that the previous service scale is no longer suitable for farmers and cannot meet their service needs in a timely manner. In this case, the number of suppliers needs to be increased according to the actual situation. For example, if the number of service suppliers is increased to 8, the actual service scale will be 8 service suppliers, each of which serves 40 mu of land, and the number of contact persons will also be 8. The number of scale contact persons is the same as the number of service suppliers in the actual service scale.

[0078] Step S14: If the service time is not less than the actual service time, the number of scale contacts is determined based on the average service scale.

[0079] If it is less than the actual service time, the average service scale can meet the farmers' needs. Therefore, the corresponding scale matching number is obtained based on the average number of service providers in the average service scale.

[0080] Step S15: extracting the average number of contact persons for the real-time required service according to the historical service information as the number of historical contact persons.

[0081] Step S16: Calculate the average of the number of scale docking persons and the number of historical docking persons as the number of service docking persons.

[0082] In practice, during the agricultural social service docking process, one service is assigned to one contact person based on the scale of the service. However, due to factors such as the scale of the docking and the position of the contact person, sometimes one contact person is assigned to multiple services, and sometimes multiple contact persons are assigned to one service. Therefore, when determining the number of contact persons, it is necessary to consider not only the scale of the service but also the local docking history. For example, if a location is short of staff, there may be a situation where one contact person is assigned to multiple services, and the number of contact persons in location A will be relatively small. Choosing the number of contact persons based on actual conditions is more in line with local agricultural conditions.

[0083] The steps to establish a social graph of farmers in need of services and evaluate the communication strength of farmers in need of services based on the social graph are as follows:

[0084] Step S21 : obtaining service communication information between farmers in need of services, where the service communication information includes the average communication frequency, average communication duration, and average service information exchange volume between farmers in need of services.

[0085] Step S22: obtaining the average transmission volume according to the average communication duration and the average service information exchange volume, and establishing a correlation curve between the average transmission volume and the path line length.

[0086] By applying factor analysis, we can reduce the dimensionality of the average communication duration and the average service information exchange volume and extract common factors. This factor score can be used as a quantitative indicator of the communication volume, thereby obtaining the average communication volume. The larger the average communication volume, the shorter the path length.

[0087] Step S23: According to the average communication volume and the association curve between the farmers in need of services, the corresponding path line length is found, and the farmers in need of services whose average communication frequency reaches the preset communication frequency threshold are connected according to the corresponding path line length to obtain a social graph.

[0088] When the average communication frequency reaches the preset communication frequency, it is considered that there is an information transmission path between two farmers with service needs. The communication path between the two farmers is established according to the corresponding path line length. After the communication paths of all farmers are established, a social graph can be obtained.

[0089] Step S24: Analyze the dissemination range and dissemination speed of farmers who need services based on the social graph, and obtain the dissemination strength by combining the dissemination range and the dissemination speed.

[0090] In practical applications, social graphs can intuitively and clearly reflect the relationships between farmers seeking services. Therefore, they can be used to confirm the volume of information dissemination between farmers. For practical service applications, the scope and speed of information dissemination determine the speed of service connection. Therefore, establishing a social graph is beneficial for determining the intensity of dissemination based on social interactions, thereby selecting contact partners with greater dissemination power and accelerating the implementation of services.

[0091] The steps to analyze the dissemination range and speed of farmers who need services based on the social graph and to obtain the dissemination intensity by combining the dissemination range and speed are as follows:

[0092] Step S241 , obtaining the active communication frequency of the farmers who need services, and counting the average output information volume of the farmers who need services.

[0093] Step S242 , combining the active communication frequency and the average output information volume to obtain the personal activity of the farmers who need services.

[0094] The entropy weighting method can be used to objectively determine the weight ratio between active communication frequency and average information output, thereby calculating individual activity. The spread of information depends not only on connections between farmers but also on their individual activity. The greater the frequency of active communication and the greater the average amount of information output, the easier it is to spread service information. For example, if Farmer A has a high level of personal activity, Farmer A will spread information to Farmer B. However, Farmer B has a low level of personal activity and stops spreading service information, then the spread of service information stops at Farmer B.

[0095] Step S243 , screening service-demanding farmers whose personal activity is lower than a preset activity threshold as dissemination-stopped farmers.

[0096] Step S244: extract the dissemination range of farmers in need of services based on the social graph and the farmers who have stopped dissemination.

[0097] By default, the dissemination stop farmer notifies the dissemination service information, so all the paths connected to the dissemination stop farmer are disconnected, and the dissemination range of the service demand farmer is determined according to the actual path connection lines of the social graph.

[0098] Step S245: Calculate the communication speed of farmers in need of services based on personal activity and social graph, and calculate the communication intensity based on the communication range.

[0099] In practical applications, a correlation curve is established between individual activity and individual diffusion speed. The greater the individual activity, the faster the individual diffusion speed. The total diffusion time for each farmer is calculated based on the individual diffusion speed and the corresponding path length. The diffusion speed for farmers in need of services is then calculated based on the combined length of all paths. For example, farmer A spreads information to farmers B, C, and D. Farmer B spreads information to farmers E, F, and G. Farmer C spreads information to farmer H. Farmer D spreads information to farmers I and J. Based on the individual diffusion speeds of A, B, C, and D and the actual path lengths with other farmers, the total diffusion time for the service information to reach all farmers A, B, C, D, E, F, G, H, I, and J is calculated to be 5 days. Given an actual path length of 5 cm, the diffusion speed for farmers in need of services is 1 cm / day. The diffusion intensity can be calculated using a weighted average method.

[0100] The steps for collecting personal information of farmers in need of services and evaluating the decision-making strength of farmers in need of services based on the personal information are as follows:

[0101] Step S31: collecting personal information of farmers who need services, including personal positions, historical decision-making information, and personal selection information.

[0102] Step S32: determine whether the service-demanding farmer has the service decision-making power based on the individual's position; if so, obtain the decision scope of the service decision-making power.

[0103] Service decision-making power refers to whether farmers individually determine service selection. For example, for some individual farmers, each farmer typically decides on their own planting services. However, in some areas, due to policy regulations, such as harvesting services requiring large machinery, small plots of land cannot access these services. Therefore, management personnel, such as village heads and production team leaders, are responsible for these services. In these cases, management personnel have the power to decide on services. Individual farmers must accept the services they choose, and they do not have the right to choose services independently. Management personnel have a single vote. However, management personnel's decision-making power is limited, and the scope of their decisions is also limited. For example, the scope of a village head's decisions is the entire village, and the scope of a production team leader's decisions is within their jurisdiction. If farmers do not have service decision-making power, the scope of their decisions is zero.

[0104] Step S33: historical decision information includes the decision accuracy, average decision matching degree and average decision satisfaction of farmers in need of services.

[0105] The average decision matching degree can be evaluated based on the decision effect, and the average decision satisfaction can be obtained through questionnaire surveys and other forms.

[0106] Step S34, the decision quality of the farmers in need of service is obtained based on historical decision information evaluation, the decision efficiency of the farmers in need of service is obtained based on personal choice information evaluation, and the decision strength of the farmers in need of service is obtained by combining decision efficiency, decision quality and decision scope.

[0107] In practical applications, a linear regression model can be used to establish a correlation function between decision accuracy, average decision matching, average decision satisfaction, and decision quality. Decision quality can then be calculated based on the correlation function. By calculating the weighted average of decision quality, decision efficiency, and decision scope, we can determine the decision-making power of farmers seeking services. The greater the farmer's decision-making power, the more beneficial their decisions will be to other local farmers in the service connection process. This will lead to smoother service implementation, reduced disputes during the service connection process, and improved satisfaction for both the provider and the service provider.

[0108] The steps to evaluate the decision-making efficiency of farmers with service needs based on personal choice information are as follows:

[0109] Step S341 , extracting the average decision cycle and average number of decision plans of farmers in need of services based on historical decision information.

[0110] The average decision cycle refers to the average time it takes farmers to make a decision, while the average number of decision options refers to the average number of decision options farmers face during each decision-making process. For example, if Farmer A had to choose from five decision options in each of his three decisions, the average number of decision options would be five.

[0111] Step S342 , counting the number of service solutions corresponding to the real-time demand service, and calculating the difference between the number of service solutions and the average number of decision solutions.

[0112] Step S343: Obtain an estimated decision cycle based on the difference in the number of solutions and the average decision cycle.

[0113] A correlation curve is formed based on the number of decision plans each time and the corresponding decision cycle. The relationship coefficient between the number of decision plans and the decision cycle is obtained based on the correlation curve. The cycle difference is calculated based on the relationship coefficient between the difference in the number of plans and the decision cycle. The average decision cycle and the cycle difference are superimposed to obtain the estimated decision cycle.

[0114] Step S344, the personal selection speed of the farmers in need of service is obtained based on the personal selection information, and the decision efficiency of the farmers in need of service is obtained by combining the estimated decision cycle.

[0115] In practice, decision-making efficiency can be calculated using a weighted average method, utilizing individual decision speed and estimated decision-making cycles. Decision-making efficiency is often most closely correlated with the decision-maker. Decisive decision-makers are more efficient, while hesitant decision-makers are less efficient. In addition to reflecting a farmer's service decision-making efficiency through historical decisions, it can also be assessed based on their other historical choices. For example, if farmer A experiences "choice difficulty," they may hesitate between multiple service options due to the sheer number of factors they consider, resulting in inefficient decision-making.

[0116] The steps for evaluating the personal selection speed of farmers with service needs based on personal selection information are as follows:

[0117] Step S3441, calculating the average selection time of different types of selections made by farmers with service needs based on personal selection information statistics.

[0118] Different types of choices include choices for purchasing goods, choices for personal services, and so on.

[0119] Step S3442: Obtain the correlation between different types of selection and agricultural socialized services, and combine the average selection time of each type to obtain the first selection speed.

[0120] The selection speed for each type is obtained by multiplying the type association degree by the corresponding average selection time. The average selection speed of all types is calculated as the first selection speed. The type association degree can be obtained by statistically analyzing the intersection between types and agricultural social services, or by farmer evaluation.

[0121] Step S3443, obtaining the importance of the real-time demand service, establishing a correlation curve between the importance of the service demand farmers and the selection speed, and finding the corresponding second selection speed according to the correlation curve.

[0122] Step S3444: Calculate the average of the first selection speed and the second selection speed as the personal selection speed of the farmer in need of service.

[0123] In practice, individuals take different amounts of time to make a choice depending on the type of choice. This time is not only related to the type of choice but also to its importance. The importance of the type and the importance of real-time service needs can be assessed by farmers. The greater the importance of a choice, the more cautious they are in making it. For example, it can be seen that people choose appliances like refrigerators much faster than plastic wrap or scissors. Therefore, the greater the importance of real-time service needs, the faster the choice. Since different farmers place varying importance on choices, we can capture the importance of real-time service needs in their minds and construct a curve based on the changes in their choice speed relative to their importance, thus deriving a second choice speed. The faster a farmer's individual choice speed, the more efficient they are in making choices, and thus, the more efficient their decision-making in agricultural socialized services.

[0124] The steps for collecting interactive information of farmers who need services and evaluating the public trust of farmers who need services based on the interactive information are as follows:

[0125] Step S41 , obtaining the average trust strength of farmers in need of services in their personal positions as the position trust strength.

[0126] Different positions bring different levels of credibility. For example, higher-level positions tend to bring more trust than lower-level positions, and farmers tend to trust representatives of higher-level positions. The average level of trust can be determined by assessing the trust level of all farmers in the positions.

[0127] Step S42: extracting the reputation value and technical experience value of the farmer in need of service based on the interactive information, and combining the position trust strength to obtain the personal trust strength of the farmer in need of service.

[0128] Reputation can be obtained through questionnaires, and technical experience can be obtained by evaluating the service-demanding farmers' experience and crop yields. A linear regression model is used to determine personal trust.

[0129] Step S43: obtaining the percentage of the planting amount of the service-demanding farmers to the planting amount of all service-demanding farmers as the planting trust strength.

[0130] Step S44, evaluating the familiarity between the service-demanding farmer and other service-demanding farmers based on the interactive information, and combining the personal trust strength and the planting trust strength to obtain the public trust strength of the service-demanding farmer.

[0131] In practical applications, a decision tree algorithm can be used to automatically segment data based on information gain or the Gini coefficient, using familiarity, personal trust, and planting trust as features to calculate public trust. The greater the personal trust other farmers have in a particular farmer, the greater their trust in the farmer in decision-making and promotion of agricultural socialized services. Furthermore, when a farmer's own planting volume is also large, the ultimate application of agricultural socialized services will be linked to their own interests, leading other farmers to trust them more. Furthermore, the greater other farmers' familiarity with the farmer, the less wary they are of the farmer, leading to greater trust in the farmer. For example, if a farmer's own planting volume accounts for 30% of the total planting volume of all farmers requesting services, then when the farmer chooses agricultural service option #1, other farmers will assume that the farmer's large planting volume indicates that he or she must have carefully selected the service, leading to greater trust in the farmer.

[0132] The steps for evaluating the familiarity between a service-demanding farmer and other service-demanding farmers based on interaction information are as follows:

[0133] Step S441 , counting the interaction time between the service-demanding farmer and other service-demanding farmers based on the interaction information.

[0134] The interaction time here refers to the total interaction time between farmers in need of services and other farmers in need of services, including but not limited to communication, activities together, meals, etc.

[0135] Step S442: The information disclosure rate of farmers with service needs and the active consultation rate of farmers with other service needs are calculated based on the interaction information, and the personal familiarity is obtained in combination with the interaction time.

[0136] The information disclosure rate refers to the public disclosure rate of a farmer's personal information, including but not limited to their home address, family size, and cropping history. A higher information disclosure rate indicates greater familiarity among other farmers with that farmer. A higher proactive consultation rate among other farmers indicates a deeper understanding of their knowledge and technical skills during the consultation process, thus increasing personal familiarity. Personal familiarity is calculated using a weighted average method combining information disclosure rate, proactive consultation rate, and interaction duration.

[0137] Step S443: Calculate the ratio of the number of times the farmer in need of service is the contact person to the total number of contacts based on historical service information, and combine the personal familiarity to obtain the familiarity between the farmer in need of service and other farmers in need of service.

[0138] In practice, the more times a farmer serves as a contact person, the more familiar they are with the process. This familiarity can be calculated using the entropy weight method, similar to individual activity. The more familiar other farmers are with a farmer, the more they trust him or her and the more they understand and adapt to his or her contact process and methods. This facilitates the promotion and application of agricultural social services, reduces unnecessary friction, and improves the smoothness and convenience of contact.

[0139] The steps to evaluate the adaptability of service delivery to farmers by combining communication strength, decision-making strength, and public trust strength are as follows:

[0140] Step S51: If the farmer in need of service has the right to make service decisions, the decision-making strength is used as the docking adaptation strength of the farmer in need of service.

[0141] Step S52: If the farmer in need of service does not have the right to decide on the service, the docking adaptation strength of the farmer in need of service is obtained comprehensively based on the communication strength, decision-making strength and public trust.

[0142] In practice, when a farmer seeking services has the final say, whether other farmers trust them becomes irrelevant. Therefore, they possess the final say. Furthermore, their final say will ensure that service information is disseminated through designated channels, which are more suitable for local individual farmers. Therefore, the degree of dissemination is unimportant. The only consideration is the degree of fit for the farmer seeking services. When selecting service partners based on fit, first select the first partner based on fit. Then, remove the farmers seeking services within the first partner's decision range. Then, select the farmer with the highest fit from the remaining farmers seeking services as the second partner, and so on, until all partners are selected. This avoids overlapping coverage or the situation where some areas have no partners. If a farmer seeking services does not have the final say, a linear regression model can be used to calculate fit using the same method as decision quality.

[0143] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for connecting supply and demand of agricultural socialized services, characterized in that: The following steps are involved: Obtain farmers who need services, collect their historical service information, and determine the number of service contacts based on the historical service information; Establish a social graph of farmers who need services, and evaluate the communication strength of farmers who need services based on the social graph; Collect personal information of farmers who need services, and evaluate the decision-making strength of farmers who need services based on their personal information; Collect interaction information of farmers who need services, and evaluate the public trust of farmers who need services based on the interaction information; The degree of adaptability to farmers’ service needs is assessed by combining communication strength, decision-making strength, and public trust strength; Service connectors are selected based on the docking adaptation strength and the number of service connectors, and service supply users and service connectors are connected to agricultural social services.

2. The method for connecting agricultural social service supply and demand according to claim 1, characterized in that: The steps of obtaining farmers who need services, collecting historical service information of farmers who need services, and determining the number of service connection persons based on the historical service information are specifically as follows: Collect the real-time service needs of farmers who need services, and calculate the average service scale of real-time service needs; Collect the service demand duration of farmers who need services, estimate the actual service duration based on the average service scale, and determine whether the service demand duration is less than the actual service duration; If it is less than the actual service time, the actual service scale of the farmers in need of service is obtained, and the number of scale contacts is determined based on the actual service scale; If it is not less than the actual service time, the number of scale contacts will be determined based on the average service scale; Extract the average number of contacts for real-time demand services based on historical service information as the number of historical contacts; The average of the number of scale contacts and the number of historical contacts is calculated as the number of service contacts.

3. The method for connecting agricultural social service supply and demand according to claim 1, characterized in that: The steps of establishing a social graph of farmers in need of services and evaluating the communication strength of farmers in need of services based on the social graph are specifically as follows: Acquiring service communication information between farmers in need of services, wherein the service communication information includes average communication frequency, average communication duration, and average service information exchange volume between farmers in need of services; The average transmission volume is obtained based on the average communication time and the average service information exchange volume, and a correlation curve between the average transmission volume and the path line length is established; The corresponding path length is found based on the average communication volume and association curve between the service-demanding farmers. The service-demanding farmers whose average communication frequency reaches the preset communication frequency threshold are connected according to the corresponding path length to obtain a social graph. The communication scope and speed of farmers who need services are analyzed based on the social graph, and the communication intensity is obtained by combining the communication scope and speed.

4. The method for connecting agricultural social service supply and demand according to claim 3, characterized in that: The steps of analyzing the dissemination range and dissemination speed of farmers who need services based on the social graph and obtaining the dissemination intensity by combining the dissemination range and the dissemination speed are specifically as follows: Obtain the active communication frequency of farmers who need services, and calculate the average output information volume of farmers who need services; The individual activity of farmers with service needs is obtained by combining the active communication frequency and the average amount of output information; Screening service-demand farmers whose personal activity is lower than a preset activity threshold as dissemination-stopped farmers; According to the social graph and the dissemination of farmers, the dissemination range of farmers in need of services is obtained; The speed of dissemination of service-demanding farmers is calculated based on personal activity and social graph, and the intensity of dissemination is obtained by combining the dissemination range.

5. The method for connecting agricultural social service supply and demand according to claim 2, characterized in that: The steps of collecting personal information of farmers in need of services and evaluating the decision-making strength of farmers in need of services based on the personal information are specifically as follows: Collecting personal information of farmers who need services, including personal position, historical decision-making information, and personal selection information; Determine whether the service-demanding farmer has the service decision-making power based on his or her personal position. If so, obtain the scope of the service decision-making power. The historical decision information includes the decision accuracy, average decision matching degree and average decision satisfaction of farmers in need of services; The decision quality of farmers with service needs is evaluated based on historical decision information, the decision efficiency of farmers with service needs is evaluated based on personal choice information, and the decision strength of farmers with service needs is obtained by combining decision efficiency, decision quality and decision scope.

6. The method for connecting agricultural social service supply and demand according to claim 5, characterized in that: The steps of evaluating the decision efficiency of farmers with service needs based on personal selection information are specifically as follows: Extract the average decision cycle and average number of decision plans of farmers with service needs based on historical decision information; Count the number of service solutions corresponding to the real-time demand services, and calculate the difference between the number of service solutions and the average number of decision solutions; The estimated decision cycle is obtained based on the difference in the number of options and the average decision cycle; The personal selection speed of farmers in need of services is evaluated based on personal selection information, and the decision efficiency of farmers in need of services is evaluated based on the estimated decision cycle.

7. The method for connecting agricultural social service supply and demand according to claim 6, characterized in that: The step of evaluating the individual selection speed of the farmers in need of services based on the individual selection information is specifically as follows: The average selection time of farmers who make different types of choices based on the statistical service demand of personal selection information; Obtain the correlation between different types of choices and agricultural social services, and combine the average selection time of each type to obtain the first selection speed; Obtain the importance of real-time demand services, establish a correlation curve between the importance of service demand farmers and the selection speed, and find the corresponding second selection speed based on the correlation curve; The average of the first and second selection speeds is calculated as the individual selection speed of the service-demanding farmers.

8. The method for connecting agricultural social service supply and demand according to claim 5, characterized in that: The steps of collecting the interactive information of farmers who need services and evaluating the public trust of farmers who need services based on the interactive information are specifically as follows: The average trust strength of farmers who demand services in their personal positions is obtained as the position trust strength; The reputation and technical experience of farmers who need services are extracted based on the interactive information, and the personal trust of farmers who need services is obtained by combining the trust in their positions. The percentage of the planting volume of farmers with service demand to the planting volume of all farmers with service demand is used as the planting trust strength; The familiarity between farmers with service needs and other farmers with service needs is evaluated based on interactive information, and the public trust of farmers with service needs is obtained by combining personal trust and planting trust.

9. The method for connecting agricultural social service supply and demand according to claim 8, characterized in that: The step of evaluating the familiarity between the service-demanding farmer and other service-demanding farmers based on the interactive information is specifically as follows: Count the interaction time between farmers with service needs and farmers with other service needs based on the interaction information; Based on the interactive information, we calculated the information disclosure rate of farmers with service needs, the active consultation rate of farmers with other service needs, and the personal familiarity by combining the interaction time; Based on the historical service information, the ratio of the number of times farmers with service needs act as the contact person to the total number of contacts is calculated, and combined with personal familiarity, the degree of familiarity between farmers with service needs and other farmers with service needs is obtained.

10. The method for connecting agricultural social service supply and demand according to claim 5, characterized in that: The steps of evaluating the matching strength of farmers with service needs by combining communication strength, decision-making strength and public trust strength are as follows: If the farmers who need services have the power to decide on services, the strength of decision-making will be used as the strength of docking and adaptation of farmers who need services; If farmers in need of services do not have the right to decide on services, the matching and adaptation strength of farmers in need of services will be comprehensively obtained based on the communication strength, decision-making strength and public trust.

Images