Agricultural planting intelligent management planning system and method based on Internet of Things

Abstract

The invention relates to the technical field of planting management planning, in particular to an agricultural planting intelligent management planning system and method based on the Internet of Things, and the system comprises a planting management planning center, an agricultural database, a planting planning matching unit, a planting division unit, an environment planning unit, a planting management unit, a growth evaluation analysis unit and a planning management unit. According to the invention, crop planting planning matching feedback analysis is carried out on soil condition information from the angle of soil content, so that planned planting species suitable for planting in a target planting area can be visually known, and management planning schemes in different periods are evaluated and managed from the angle of growth states. The method is advantaged in that growth influence on the planed planting species is reduced, growth change conditions of the planed planting species are accurately known, growth health information is further subjected to planed growth evaluation feedback analysis, a current growth management planning scheme is conveniently adjusted, and growth health and growth management efficiency of the planed planting species in the target planting area are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of planting management planning, and in particular to an agricultural planting intelligent management planning system and method based on the Internet of Things. Background Art

[0002] The Internet of Things collects any objects or processes that need to be monitored and interacted with in real time through sensors and positioning technologies, collects various required information such as sound, light, heat, electricity, mechanics, etc., and realizes ubiquitous connection between objects and objects and between objects and people through various possible network accesses, and realizes intelligent perception and management of processes. In the process of agricultural planting, different crops have different requirements for planting environment, soil information, etc. Due to irregular management, various problems that may reduce crop yields may occur during crop planting;

[0003] However, in the prior art, it is impossible to reasonably select plants based on the soil conditions of the existing planting area, which is not conducive to improving the yield of plants. It is also impossible to evaluate and analyze the growth of plants in the germination and growth stages, which leads to increased growth risks of plants. At the same time, it is impossible to evaluate and analyze the growth management planning scheme of plants from the two perspectives of growth survival and pests and diseases, which leads to increased growth health risks of plants.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent agricultural planting management planning system and method based on the Internet of Things to solve the technical defects mentioned above. The present invention performs crop planting planning matching feedback analysis on soil condition information from the perspective of soil content, so as to intuitively understand the planned planting species suitable for planting in the target planting area, and conducts environmental management planning reliability assessment analysis on the planting environment information of the target planting area in the budding period by means of information feedback, so as to manage and adjust the planting environment and planting environment planning scheme of the target planting area to reduce the impact of the planting environment on the growth of the planned planting species, and the inspection planning, evaluation and supervision analysis based on the growth information under conventional signals, so as to reasonably adjust the inspection cycle during the growth period, so as to accurately understand the growth changes of the planned planting species, and at the same time, in-depth planning growth evaluation feedback analysis is performed on the growth health information, so as to adjust the current growth management planning scheme to improve the growth health and growth management efficiency of the planned planting species in the target planting area.

[0006] The purpose of the present invention can be achieved by the following technical solutions: an intelligent agricultural planting management planning system based on the Internet of Things, including a planting management planning center, an agricultural database, a planting planning matching unit, a planting division unit, an environmental planning unit, a planting management and adjustment unit, a growth evaluation and analysis unit, and a planning management unit;

[0007] The planting management planning center is used to retrieve soil condition information of agricultural greenhouse planting areas from the agricultural database and send the soil condition information to the planting planning matching unit;

[0008] The planting plan matching unit is used to perform crop planting plan matching feedback analysis on the received soil condition information, and send the obtained planned planting species pictures to the planning management unit;

[0009] The planting division unit is used to collect the growth status information of the planned planting species, and to perform state division analysis on the growth status information to obtain feedback instructions and conventional signals;

[0010] When a feedback instruction is generated, the environmental planning unit is used to collect the planting environment information of the target planting area, and to perform reliability assessment and analysis of the environmental management planning of the planting environment information, and to perform discrimination processing on the obtained environmental condition planning value to obtain a conventional alarm signal or a planned alarm signal;

[0011] The planting control unit is used to respond to conventional signals, collect growth information of planned planting species, and conduct inspection, planning, evaluation, supervision and analysis on the growth information to obtain control signals or not generate any signals;

[0012] The growth evaluation and analysis unit is used to collect the growth health information of the planned planting species, conduct planned growth evaluation feedback analysis on the growth health information, and obtain a reasonable planning signal or a planned alarm signal.

[0013] Preferably, the crop planting planning matching feedback analysis process is as follows:

[0014] The agricultural greenhouse planting area to be planned is collected and set as the target planting area, and the soil condition information of the target planting area is obtained. The soil condition information includes soil water content and soil organic matter content. The parameter in the soil condition information is set to g, where g is a natural number greater than zero. The values ​​corresponding to the various parameters in the soil condition information are obtained and set as the nutrient content value;

[0015] The names and nutrient content values ​​corresponding to the parameters in the soil condition information are obtained, and a character string composed of the names and nutrient content values ​​corresponding to the parameters in the soil condition information is extracted and set as a planting identification string.

[0016] Preferably, the obtained planting identification string is analyzed for coincidence with the preset planting identification string list, and the plant species corresponding to the preset planting identification string with the greatest similarity between the planting identification string and the preset planting identification string list is set as the matching planting category;

[0017] The planting month intervals of each matching planting category are obtained, and the current month is obtained at the same time, and the current month is matched and analyzed with the planting month intervals of each matching planting category, and the matching planting category corresponding to the planting month interval of the current month is set as the planned planting species.

[0018] Preferably, the state division analysis process is as follows:

[0019] The planting time period of the planned planting species in the target planting area is collected and set as the time threshold, and the growth status of the planned planting species in the target planting area within the time threshold is obtained. The growth status includes the germination period and the growth period, and the growth status is judged and processed: if the growth status is the germination period, a feedback instruction is generated; if the growth status is the growth period, a conventional signal is generated.

[0020] Preferably, the reliability assessment and analysis process of the environmental management plan is as follows:

[0021] Obtaining planting environment information of the target planting area within the time threshold, the planting environment information including average temperature, average humidity and average ventilation volume;

[0022] The planting setting information of the planned planting species in the target planting area is obtained, the planting setting information includes the temperature range, humidity range and ventilation volume range, the planting environment information is compared and analyzed with the planting setting information, the part of the planting environment information that deviates from the planting setting information is set as the temperature deviation value, humidity deviation value and ventilation deviation value, respectively, the number of the temperature deviation value, humidity deviation value and ventilation deviation value that is greater than or equal to the preset temperature deviation value, humidity deviation value and ventilation deviation value threshold is set as the environmental condition evaluation coefficient, and the environmental condition evaluation coefficient is discriminated and processed to obtain a qualified signal or an unqualified instruction. When an unqualified instruction is generated, the interval duration and the number of times the target planting area generates unqualified instructions within the time threshold are obtained, the ratio of the interval duration and the number of times the target planting area generates unqualified instructions is set as the environmental condition planning value, and the environmental condition planning value is discriminated and processed to obtain a conventional alarm signal or a planned alarm signal.

[0023] Preferably, the inspection planning, evaluation, supervision and analysis process is as follows:

[0024] Obtaining growth information of planned planting species in the target planting area within the time threshold, the growth information including growth evaluation value and nutrient offset value;

[0025] The product of the growth assessment value and the corresponding nutrient offset value is obtained, the product of the growth assessment value and the corresponding nutrient offset value is set as the planting management requirement coefficient, and the planting management requirement coefficient is compared and analyzed with the preset planting management requirement coefficient threshold to obtain a control signal or not generate any signal.

[0026] Preferably, the growth evaluation value represents the average growth rate of the stem and leaf area of ​​the currently planned planting species; the process of obtaining and analyzing the nutrient offset value is: obtaining the nutrient content of the applied fertilizer, the planting area and the soil nutrient content of the target planting area within the time threshold, and multiplying the corresponding values ​​of the nutrient content of the applied fertilizer, the planting area and the soil nutrient content to obtain the product value as the fertilization demand, and setting the part of the fertilization demand that deviates from the preset fertilization demand range as the nutrient offset value.

[0027] Preferably, the planning growth assessment feedback analysis process is as follows:

[0028] Obtaining the growth health information of the planned planting species in the target planting area within the time threshold, the growth health information represents the pest and disease evaluation value and the survival evaluation coefficient;

[0029] The pest and disease assessment value represents the product of the number of pest species and the number of pests in the planned planting species in the target planting area after data normalization; the acquisition and analysis process of the survival assessment coefficient: the planting area of ​​the planned planting species in the target planting area is obtained, and the surviving planting area of ​​the planned planting species is obtained at the same time, and the ratio between the surviving planting area and the planting area is set as the survival assessment coefficient;

[0030] The pest and disease assessment value and the survival assessment coefficient are compared and analyzed with the preset pest and disease assessment value and the survival assessment coefficient threshold to obtain a reasonable planning signal or a planning alarm signal.

[0031] The beneficial effects of the present invention are as follows:

[0032] (1) The present invention performs crop planting planning matching feedback analysis on soil condition information from the perspective of soil content, so as to intuitively understand the planned planting species suitable for planting in the target planting area, thereby helping to fully meet the growth conditions of the planned planting species, and through information feedback, the planting environment information of the target planting area in the budding period is evaluated and analyzed for the reliability of environmental management planning, so as to manage and adjust the planting environment and planting environment planning scheme of the target planting area, so as to reduce the impact of the planting environment on the growth of the planned planting species;

[0033] (2) The present invention conducts inspection planning, evaluation, supervision and analysis based on growth information under conventional signals, so as to reasonably adjust the inspection cycle during the growth period, accurately understand the growth changes of the planned planting species, rationally manage the planned planting species, and improve the growth stability of the planned planting species. At the same time, in-depth planning growth evaluation feedback analysis is conducted on the growth health information, so as to analyze the growth health from the two perspectives of growth survival and pests and diseases, so as to adjust the current growth management planning scheme, so as to improve the growth health and growth management efficiency of the planned planting species in the target planting area. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention will be further described below in conjunction with the accompanying drawings;

[0035] Figure 1 It is a flowchart of the system of the present invention;

[0036] Figure 2 It is a reference analysis diagram of the method of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Embodiment 1:

[0039] See also Figure 1 to Figure 2 As shown, the present invention is an intelligent agricultural planting management planning system based on the Internet of Things, including a planting management planning center, an agricultural database, a planting planning matching unit, a planting division unit, an environmental planning unit, a planting management and adjustment unit, a growth evaluation and analysis unit and a planning management unit, the agricultural database is connected to the planting management planning center in a one-way communication, the planting management planning center is connected to the planting planning matching unit in a one-way communication, the planting planning matching unit is connected to the planting division unit and the growth evaluation and analysis unit in a one-way communication, the planting division unit is connected to the environmental planning unit and the planting management and adjustment unit in a one-way communication, the environmental planning unit and the planting management and adjustment unit are connected to the planning management unit in a one-way communication, and the growth evaluation and analysis unit is connected to the planning management unit in a one-way communication;

[0040] The planting management planning center is used to retrieve soil condition information of agricultural greenhouse planting areas from the agricultural database and send the soil condition information to the planting planning matching unit;

[0041] The planting plan matching unit is used to perform crop planting plan matching feedback analysis on the received soil condition information, so as to intuitively understand the planned planting species suitable for planting in the target planting area, which is helpful to meet the growth conditions of the planned planting species. The specific crop planting plan matching feedback analysis process is as follows:

[0042] The agricultural greenhouse planting area to be planned is collected and set as the target planting area, and the soil condition information of the target planting area is obtained. The soil condition information includes soil water content, soil organic matter content, etc. The parameter in the soil condition information is set to g, where g is a natural number greater than zero, and the numerical value corresponding to each parameter in the soil condition information is obtained and set as the nutrient content value;

[0043] In the embodiment of the present invention, for example, when g=1, it indicates the soil water content, when g=2, it indicates the soil organic matter content, and so on;

[0044] Obtaining the corresponding name and nutrient content value of each parameter in the soil condition information, performing character extraction on the corresponding name and nutrient content value of each parameter in the soil condition information, and setting the character string composed of the character extraction of the corresponding name and nutrient content value of each parameter in the soil condition information as a planting identification string;

[0045] The obtained planting identification string is analyzed for overlap with the preset planting identification string list, and the preset planting identification string with the greatest similarity between the planting identification string and the preset planting identification string list is obtained, and the plant species corresponding to the preset planting identification string with the greatest similarity between the planting identification string and the preset planting identification string list is set as the matching planting category;

[0046] In the embodiment of the present invention, the plant species include potatoes, corn, etc.;

[0047] The planting month intervals of each matching planting category are obtained, and at the same time, the current month is matched and analyzed with the planting month intervals of each matching planting category, and the matching planting category corresponding to the planting month interval of the current month is set as the planned planting species, and the planned planting species picture is obtained, and the planned planting species picture is sent to the planning management unit. After receiving the planned planting species picture, the planning management unit immediately displays the planned planting species picture so as to intuitively understand the planned planting species suitable for planting in the target planting area, which in turn helps to meet the growth conditions of the planned planting species.

[0048] Embodiment 2:

[0049] The planting division unit is used to collect the growth status information of the planned planting species and perform state division analysis on the growth status information, so as to provide data support for the subsequent growth management planning of the planned planting species at different periods. The specific state division analysis process is as follows:

[0050] The planting period of the planned planting species in the target planting area is collected and set as the time threshold. The growth status of the planned planting species in the target planting area within the time threshold is obtained. The growth status includes the germination and growth period, and the growth status is discriminated:

[0051] If the growth state is the budding stage, a feedback instruction is generated;

[0052] If the growth state is in the growth phase, a regular signal is generated;

[0053] When a feedback instruction is generated, the environmental planning unit is used to collect the planting environment information of the target planting area, and conduct an environmental management planning reliability assessment and analysis on the planting environment information, so as to manage and adjust the planting environment of the target planting area to reduce the impact of the planting environment on the growth of the planned planting species. At the same time, the planting environment planning scheme is adjusted in a targeted manner according to the information feedback to reduce the frequency of planting environment alarms and improve the growth safety of the planned planting species. The specific environmental management planning reliability assessment and analysis process is as follows:

[0054] Obtaining planting environment information of the target planting area within the time threshold, the planting environment information including average temperature, average humidity and average ventilation volume;

[0055] The planting setting information of the planned planting species in the target planting area is obtained, and the planting setting information includes a temperature range, a humidity range, and a ventilation range. The planting environment information is compared and analyzed with the planting setting information, and the part of the planting environment information that deviates from the planting setting information is set as a temperature deviation value, a humidity deviation value, and a ventilation deviation value, respectively. The temperature deviation value, the humidity deviation value, and the ventilation deviation value are compared and analyzed with a preset temperature deviation value threshold, a preset humidity deviation value threshold, and a preset ventilation deviation value threshold, and the number of temperature deviation values, humidity deviation values, and ventilation deviation values ​​that are greater than or equal to the preset temperature deviation value, humidity deviation value, and ventilation deviation value threshold is set as an environmental condition evaluation coefficient, and the environmental condition evaluation coefficient is discriminated:

[0056] If the environmental condition evaluation coefficient is equal to zero, a qualified signal is generated;

[0057] If the environmental condition evaluation coefficient is not equal to zero, an unqualified instruction is generated. When an unqualified instruction is generated, the interval duration and the number of times the target planting area generates unqualified instructions within the time threshold are obtained, and the ratio of the interval duration and the number of times the target planting area generates unqualified instructions is set as the environmental condition planning value, and the environmental condition planning value is judged:

[0058] If the environmental condition planning value is less than the preset environmental condition planning value threshold, a conventional alarm signal is generated;

[0059] If the environmental condition planning value is greater than or equal to the preset environmental condition planning value threshold, a planning alarm signal is generated, and a conventional alarm signal or a planning alarm signal is sent to the planning management unit. After receiving the conventional alarm signal or the planning alarm signal, the planning management unit immediately performs a preset early warning operation corresponding to the conventional alarm signal or the planning alarm signal, so as to manage and adjust the planting environment of the target planting area to reduce the impact of the planting environment on the growth of the planned planting species, and at the same time, make targeted adjustments to the planting environment planning scheme based on the information feedback to reduce the frequency of planting environment alarms and improve the growth safety of the planned planting species;

[0060] The planting management and adjustment unit is used to respond to conventional signals, collect growth information of planned planting species, and conduct inspection planning, evaluation, supervision and analysis on the growth information, so as to reasonably adjust the inspection cycle during the growth period, facilitate accurate understanding of the growth changes of planned planting species, so as to rationally manage the planned planting species and improve the growth stability of the planned planting species. The specific inspection planning, evaluation, supervision and analysis process is as follows:

[0061] Obtaining growth information of planned planting species in the target planting area within the time threshold, the growth information including growth evaluation value and nutrient offset value;

[0062] In the embodiment of the present invention, the growth evaluation value represents the average growth rate of the stem and leaf area of ​​the currently planned planting species. It should be noted that the growth evaluation value is a parameter that reflects the state performance of the planned planting species during the growth period. The larger the value of the growth evaluation value, the higher the demand for shortening the inspection interval.

[0063] In the embodiment of the present invention, the acquisition and analysis process of the nutrient offset value is as follows: the nutrient content of the applied fertilizer, the planting area and the soil nutrient content of the target planting area within the time threshold are acquired, the product value obtained by multiplying the corresponding values ​​of the nutrient content of the applied fertilizer, the planting area and the soil nutrient content is set as the fertilization demand, and the part of the fertilization demand that deviates from the preset fertilization demand range is set as the nutrient offset value;

[0064] The product value between the growth evaluation value and the corresponding value of the nutrient offset value is obtained, and the product value between the growth evaluation value and the corresponding value of the nutrient offset value is set as the planting management requirement coefficient, and the planting management requirement coefficient is compared and analyzed with the preset planting management requirement coefficient threshold:

[0065] If the planting management demand coefficient is less than the preset planting management demand coefficient threshold, no signal is generated;

[0066] If the planting management demand coefficient is greater than or equal to the preset planting management demand coefficient threshold, a control signal is generated and sent to the planning management unit. After receiving the control signal, the planning management unit immediately performs the preset early warning operation corresponding to the control signal, so as to reasonably adjust the inspection cycle during the growth period, so as to accurately understand the growth changes of the planned planting species, so as to rationally manage the planned planting species and improve the growth stability of the planned planting species.

[0067] Embodiment three:

[0068] The growth evaluation and analysis unit is used to collect the growth health information of the planned planting species, and conduct planned growth evaluation feedback analysis on the growth health information, so as to integrate the growth health analysis from the two perspectives of growth survival and pests and diseases, so as to judge whether the current growth management plan is reasonable. The specific planning growth evaluation feedback analysis process is as follows:

[0069] Obtaining the growth health information of the planned planting species in the target planting area within the time threshold, the growth health information represents the pest and disease evaluation value and the survival evaluation coefficient;

[0070] In the embodiment of the present invention, the pest and disease assessment value represents the product value obtained by multiplying the number of pest species and the number of pests of the planned planting species in the target planting area by the normalized data. It should be noted that the larger the value of the pest and disease assessment value, the greater the risk of rationality of growth management;

[0071] In the embodiment of the present invention, the acquisition and analysis process of the survival evaluation coefficient is as follows: the planting area of ​​the planned planting species in the target planting area is acquired, and the surviving planting area of ​​the planned planting species is acquired at the same time, and the ratio between the surviving planting area and the planting area is set as the survival evaluation coefficient. It should be noted that the larger the value of the survival evaluation coefficient is, the smaller the growth health risk of the planned planting species in the target planting area is, indicating that the feasibility of the management planning scheme is higher;

[0072] Compare and analyze the pest and disease assessment value and survival assessment coefficient with the preset pest and disease assessment value and survival assessment coefficient threshold:

[0073] If the pest and disease assessment value is less than the preset pest and disease assessment value threshold, and the survival assessment coefficient is less than the preset survival assessment coefficient threshold, a planning rationality signal is generated;

[0074] If the pest and disease assessment value is greater than or equal to the preset pest and disease assessment value threshold, or the survival assessment coefficient is greater than or equal to the preset survival assessment coefficient threshold, a planning alarm signal is generated, and the planning rationality signal or the planning alarm signal is sent to the planning management unit. After receiving the planning rationality signal or the planning alarm signal, the planning management unit immediately makes the preset early warning operation corresponding to the planning rationality signal or the planning alarm signal, so as to adjust the current growth management planning scheme to improve the growth health and growth management efficiency of the planned planting species in the target planting area.

[0075] Embodiment 4:

[0076] The method for intelligent management planning of agricultural planting based on the Internet of Things includes the following steps:

[0077] Step 1: Perform crop planting planning matching feedback analysis on soil condition information from the perspective of soil content, perform image matching on the obtained planned planting species, and output the obtained planned planting species images as feedback;

[0078] Step 2: Perform state classification analysis on the growth state information of the planned planting species based on information feedback. If a feedback instruction is obtained, proceed to step 3; if a normal signal is obtained, proceed to step 4;

[0079] Step 3: Based on the information progressive method, the reliability evaluation and analysis of the environmental management planning of the planting environment information is carried out, the obtained environmental condition planning value is judged and processed, and the obtained conventional alarm signal or planned alarm signal is output and fed back;

[0080] Step 4: Based on the inspection planning, evaluation and supervision analysis of the growth information under conventional signals, the obtained planting management demand coefficient is compared and analyzed. If a control signal is obtained, feedback is output;

[0081] Step 5: Collect the growth and health information of the planned planting species, and conduct planned growth evaluation feedback analysis on the growth and health information, and output the obtained planning reasonable signal or planning alarm signal as feedback;

[0082] In summary, the present invention performs crop planting planning matching feedback analysis on soil condition information from the perspective of soil content, so as to intuitively understand the planned planting species suitable for planting in the target planting area, which is helpful to fully meet the growth conditions of the planned planting species, and the growth state information of the planned planting species is divided and analyzed by means of information feedback, so as to provide data support for the subsequent growth management planning of the planned planting species in different periods, that is, the planting environment information of the target planting area in the budding period is evaluated and analyzed for the reliability of environmental management planning, so as to manage and adjust the planting environment of the target planting area to reduce the impact of the planting environment on the growth of the planned planting species, and at the same time, the planting environment planning scheme is adjusted in a targeted manner according to the information feedback to reduce the frequency of planting environment alarms, so as to improve the growth safety of the planned planting species;

[0083] The inspection planning, evaluation, supervision and analysis based on the growth information under conventional signals can reasonably adjust the inspection cycle during the growth period, accurately understand the growth changes of the planned planting species, rationally manage the planned planting species, and improve the growth stability of the planned planting species. At the same time, in-depth planning growth evaluation feedback analysis is carried out on the growth health information, so as to analyze the growth health from the two perspectives of growth survival and diseases and pests, so as to adjust the current growth management planning scheme to improve the growth health and growth management efficiency of the planned planting species in the target planting area.

[0084] The threshold is set to facilitate comparison. The threshold depends on the amount of sample data and the number of bases set by technicians in this field for each set of sample data. It does not affect the proportional relationship between the parameter and the quantized value.

[0085] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding operating coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0086] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. The intelligent management and planning system for agricultural planting based on the Internet of Things is characterized by: It includes planting management planning center, agricultural database, planting planning matching unit, planting division unit, environmental planning unit, planting management and adjustment unit, growth evaluation and analysis unit and planning management unit; The planting management planning center is used to retrieve soil condition information of agricultural greenhouse planting areas from the agricultural database and send the soil condition information to the planting planning matching unit; The planting plan matching unit is used to perform crop planting plan matching feedback analysis on the received soil condition information, and send the obtained planned planting species pictures to the planning management unit; The planting division unit is used to collect the growth status information of the planned planting species, and to perform state division analysis on the growth status information to obtain feedback instructions and conventional signals; When a feedback instruction is generated, the environmental planning unit is used to collect the planting environment information of the target planting area, and to perform reliability assessment and analysis of the environmental management planning of the planting environment information, and to perform discrimination processing on the obtained environmental condition planning value to obtain a conventional alarm signal or a planned alarm signal; The planting control unit is used to respond to conventional signals, collect growth information of planned planting species, and conduct inspection, planning, evaluation, supervision and analysis on the growth information to obtain control signals or not generate any signals; The growth evaluation and analysis unit is used to collect the growth health information of the planned planting species, conduct planned growth evaluation feedback analysis on the growth health information, and obtain a reasonable planning signal or a planned alarm signal.

2. The agricultural planting intelligent management planning system based on the Internet of Things according to claim 1 is characterized in that: The crop planting planning matching feedback analysis process is as follows: The agricultural greenhouse planting area to be planned is collected and set as the target planting area, and the soil condition information of the target planting area is obtained. The soil condition information includes soil water content and soil organic matter content. The parameter in the soil condition information is set to g, where g is a natural number greater than zero. The values ​​corresponding to the various parameters in the soil condition information are obtained and set as the nutrient content value; The names and nutrient content values ​​corresponding to the parameters in the soil condition information are obtained, and a character string composed of the names and nutrient content values ​​corresponding to the parameters in the soil condition information is extracted and set as a planting identification string.

3. The agricultural planting intelligent management planning system based on the Internet of Things according to claim 2 is characterized in that: The obtained planting identification string is analyzed for coincidence with the preset planting identification string list, and the plant species corresponding to the preset planting identification string with the greatest similarity between the planting identification string and the preset planting identification string list is set as the matching planting category; The planting month intervals of each matching planting category are obtained, and the current month is obtained at the same time, and the current month is matched and analyzed with the planting month intervals of each matching planting category, and the matching planting category corresponding to the planting month interval of the current month is set as the planned planting species.

4. The agricultural planting intelligent management planning system based on the Internet of Things according to claim 1 is characterized in that: The state division analysis process is as follows: The planting time period of the planned planting species in the target planting area is collected and set as the time threshold, and the growth status of the planned planting species in the target planting area within the time threshold is obtained. The growth status includes the germination period and the growth period, and the growth status is judged and processed: if the growth status is the germination period, a feedback instruction is generated; if the growth status is the growth period, a conventional signal is generated.

5. The agricultural planting intelligent management planning system based on the Internet of Things according to claim 1 is characterized in that: The reliability assessment and analysis process of the environmental management plan is as follows: Obtaining planting environment information of the target planting area within the time threshold, the planting environment information including average temperature, average humidity and average ventilation volume; The planting setting information of the planned planting species in the target planting area is obtained, the planting setting information includes the temperature range, humidity range and ventilation volume range, the planting environment information is compared and analyzed with the planting setting information, the part of the planting environment information that deviates from the planting setting information is set as the temperature deviation value, humidity deviation value and ventilation deviation value, respectively, the number of the temperature deviation value, humidity deviation value and ventilation deviation value that is greater than or equal to the preset temperature deviation value, humidity deviation value and ventilation deviation value threshold is set as the environmental condition evaluation coefficient, and the environmental condition evaluation coefficient is discriminated and processed to obtain a qualified signal or an unqualified instruction. When an unqualified instruction is generated, the interval duration and the number of times the target planting area generates unqualified instructions within the time threshold are obtained, the ratio of the interval duration and the number of times the target planting area generates unqualified instructions is set as the environmental condition planning value, and the environmental condition planning value is discriminated and processed to obtain a conventional alarm signal or a planned alarm signal.

6. The agricultural planting intelligent management planning system based on the Internet of Things according to claim 1 is characterized in that: The inspection planning, evaluation, supervision and analysis process is as follows: Obtaining growth information of planned planting species in the target planting area within the time threshold, the growth information including growth evaluation value and nutrient offset value; The product of the growth assessment value and the corresponding nutrient offset value is obtained, the product of the growth assessment value and the corresponding nutrient offset value is set as the planting management requirement coefficient, and the planting management requirement coefficient is compared and analyzed with the preset planting management requirement coefficient threshold to obtain a control signal or not generate any signal.

7. The agricultural planting intelligent management planning system based on the Internet of Things according to claim 6 is characterized in that: The growth evaluation value represents the average growth rate of the stem and leaf area of ​​the currently planned planting species; the process of obtaining and analyzing the nutrient offset value is: obtaining the nutrient content of the applied fertilizer, the planting area and the soil nutrient content of the target planting area within the time threshold, and multiplying the corresponding values ​​of the nutrient content of the applied fertilizer, the planting area and the soil nutrient content to obtain the product value as the fertilization demand, and setting the part of the fertilization demand that deviates from the preset fertilization demand range as the nutrient offset value.

8. The agricultural planting intelligent management planning system based on the Internet of Things according to claim 1 is characterized in that: The planning growth assessment feedback analysis process is as follows: Obtaining the growth health information of the planned planting species in the target planting area within the time threshold, the growth health information represents the pest and disease evaluation value and the survival evaluation coefficient; The pest and disease assessment value represents the product of the number of pest species and the number of pests in the planned planting species in the target planting area after data normalization; the acquisition and analysis process of the survival assessment coefficient: the planting area of ​​the planned planting species in the target planting area is obtained, and the surviving planting area of ​​the planned planting species is obtained at the same time, and the ratio between the surviving planting area and the planting area is set as the survival assessment coefficient; The pest and disease assessment value and the survival assessment coefficient are compared and analyzed with the preset pest and disease assessment value and the survival assessment coefficient threshold to obtain a reasonable planning signal or a planning alarm signal.

9. An intelligent management and planning method for agricultural planting based on the Internet of Things, the method being applied to an intelligent management and planning system for agricultural planting based on the Internet of Things as claimed in any one of claims 1 to 8, characterized in that: The following steps are involved: Step 1: Perform crop planting planning matching feedback analysis on soil condition information from the perspective of soil content, perform image matching on the obtained planned planting species, and output the obtained planned planting species images as feedback; Step 2: Based on information feedback, the growth status information of the planned planting species is analyzed for status classification. If a feedback instruction is obtained, step 3 is entered; if a normal signal is obtained, step 4 is entered; Step 3: Based on the information progressive method, the reliability evaluation and analysis of the environmental management planning of the planting environment information is carried out, the obtained environmental condition planning values ​​are judged and processed, and the obtained conventional alarm signal or planned alarm signal is output and fed back; Step 4: Based on the inspection planning, evaluation and supervision analysis of the growth information under conventional signals, the obtained planting management demand coefficient is compared and analyzed. If a control signal is obtained, feedback is output; Step 5: Collect the growth and health information of the planned planting species, and conduct planned growth evaluation feedback analysis on the growth and health information, and output the obtained planning reasonable signal or planning alarm signal as feedback.

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