Intelligent agricultural monitoring data statistical management system

Abstract

The invention relates to the technical field of agricultural management systems, in particular to an intelligent agricultural monitoring data statistical management system. Through setting a data acquisition and storage module, a data analysis and decision support module, an environment monitoring module, an early warning and alarm module, a user interface module, an intelligent irrigation and water and fertilizer management module, a disease and pest monitoring and management module, a sales statistics and logistics management module, a user management module and a geographic information display module, crop disease and pest conditions are detected. And the soil environment is monitored, so that the pesticide application amount is controlled to be in a proper range and is accurate and controllable, and the situation that excessive pesticide residues are caused by blind use of pesticides, and soil pollution is caused is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural management systems, and in particular to a smart agricultural monitoring data statistical management system. Background Art

[0002] Agricultural monitoring data statistical management is an important part of the development of modern agriculture. By integrating technologies such as the Internet of Things, big data and cloud computing, real-time monitoring and precise management of the agricultural production environment can be achieved. However, in the agricultural planting process, excessive use of pesticides will lead to excessive residues, which will reduce the health quality of harvested crops and cause soil pollution. Its environmental protection needs to be improved. Summary of the invention

[0003] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a smart agricultural monitoring data statistical management system.

[0004] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a smart agricultural monitoring data statistical management system, comprising:

[0005] Data collection and storage module: responsible for real-time collection of various data in the agricultural production process, such as weather, soil, crop growth conditions, etc., and storing these data in the cloud database;

[0006] Data analysis and decision support module: Use big data analysis technology to conduct in-depth mining and analysis of collected data, provide decision support, and help farmers make scientific decisions;

[0007] Environmental monitoring module: monitors environmental parameters such as temperature, humidity, light, soil moisture, etc. in real time through sensors installed in farmland, and transmits data to the monitoring center;

[0008] Early warning and alarm module: When the monitored environmental parameters exceed the normal range, the system will issue an early warning message to remind managers to take corresponding measures;

[0009] User interface module: provides functions such as data query, display and remote control, enabling users to view farmland environmental parameters through a web interface or mobile phone application, and perform manual or automatic control;

[0010] Intelligent irrigation and water and fertilizer management module: automatically adjusts irrigation and fertilization equipment based on data analysis results to achieve intelligent management;

[0011] Pest and disease monitoring and management module: detects crop pest and disease conditions through image acquisition and analysis technology, and provides corresponding prevention and control suggestions;

[0012] Sales statistics and logistics management module: statistics on the sales of agricultural products, management of the storage and transportation of agricultural products, and ensuring product quality and safety;

[0013] User management module: supports functions such as user registration, login, and authority allocation to ensure the security and reliability of the system;

[0014] Geographic information display module: Utilizes geographic information technology to display the distribution, production areas and sales of agricultural products in the form of maps, providing an intuitive traceability experience.

[0015] Preferably, the data acquisition and storage module includes a temperature and humidity sensor, a soil moisture sensor, a light sensor, a CO2 concentration sensor and a display, wherein the storage module is an SD card, a W25Q64 serial Flash memory or an EEPROM module.

[0016] Preferably, the environment monitoring module includes a light sensor, a smoke sensor, an atmospheric pressure sensor, a water level sensor, a wind speed sensor and a raindrop sensor.

[0017] Preferably, the geographic information display module includes map display and graphical user interface, data visualization, three-dimensional simulation and analysis, thematic maps and statistical charts, dynamic interactive functions, data management and editing and extended applications.

[0018] Preferably, the intelligent irrigation and water-fertilizer management module includes a water-fertilizer integration system, a filtration system, a fertilization system, a central control system and a remote monitoring platform.

[0019] Preferably, the pest and disease monitoring and management module collects images and data through tools such as remote video monitoring equipment, intelligently analyzes the type, degree and trend of field diseases, combines climate information, weather forecasts and historical data to predict the type, time and trend of pest and disease occurrence, and continuously optimizes the early warning model, including an image processing module, a spatial relationship module, a feature enhancement module, a potential representation learning module, a spatiotemporal prediction module, an anomaly detection module and a prevention and control decision-making module, allowing users to view data in real time through mobile applications or PCs and remotely manage equipment.

[0020] Preferably, the sales statistics and logistics management module includes sales data statistics, order management and analysis, customer management, sales return and exchange management, and sales execution tracking.

[0021] Compared with the prior art, the advantages and positive effects of the present invention are:

[0022] In the present invention, by setting a data collection and storage module, a data analysis and decision support module, an environmental monitoring module, an early warning and alarm module, a user interface module, an intelligent irrigation and water and fertilizer management module, a pest and disease monitoring and management module, a sales statistics and logistics management module, a user management module and a geographic information display module, the crop pest and disease situation is detected, and the soil environment is monitored to control the pesticide application amount within an appropriate range, which is accurately controllable, and avoids blind use of pesticides resulting in excessive pesticide residues and soil pollution. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0024] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicating positions or positional relationships are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0025] The present invention provides a technical solution: a smart agricultural monitoring data statistical management system, a data acquisition and storage module: responsible for real-time acquisition of various data in the agricultural production process, such as weather, soil, crop growth conditions, etc., and storing these data in a cloud database;

[0026] Data analysis and decision support module: Use big data analysis technology to conduct in-depth mining and analysis of collected data, provide decision support, and help farmers make scientific decisions;

[0027] Environmental monitoring module: monitors environmental parameters such as temperature, humidity, light, soil moisture, etc. in real time through sensors installed in farmland, and transmits data to the monitoring center;

[0028] Early warning and alarm module: When the monitored environmental parameters exceed the normal range, the system will issue an early warning message to remind managers to take corresponding measures;

[0029] User interface module: provides functions such as data query, display and remote control, enabling users to view farmland environmental parameters through a web interface or mobile phone application, and perform manual or automatic control;

[0030] Intelligent irrigation and water and fertilizer management module: automatically adjusts irrigation and fertilization equipment based on data analysis results to achieve intelligent management;

[0031] Pest and disease monitoring and management module: detects crop pest and disease conditions through image acquisition and analysis technology, and provides corresponding prevention and control suggestions;

[0032] Sales statistics and logistics management module: statistics on the sales of agricultural products, management of the storage and transportation of agricultural products, and ensuring product quality and safety;

[0033] User management module: supports functions such as user registration, login, and authority allocation to ensure the security and reliability of the system;

[0034] Geographic information display module: Utilizes geographic information technology to display the distribution, production areas and sales of agricultural products in the form of maps, providing an intuitive traceability experience.

[0035] The data acquisition and storage module includes a temperature and humidity sensor, a soil moisture sensor, a light sensor, a CO2 concentration sensor and a display. The temperature and humidity sensor (such as DHT11 and DHT22) is used to monitor the air temperature and humidity. The soil moisture sensor is used to measure the moisture content of the soil. The light sensor is used to detect the ambient light intensity. The CO2 concentration sensor is used to monitor the carbon dioxide concentration. The storage module is an SD card, a W25Q64 serial Flash memory or an EEPROM module. The SD card is used to store historical data. The W25Q64 serial Flash memory communicates with the microcontroller through the SPI interface. The EEPROM module ensures that the data will not be lost after power failure.

[0036] The environmental monitoring module includes a light sensor, a smoke sensor, an atmospheric pressure sensor, a water level sensor, a wind speed sensor and a raindrop sensor.

[0037] The geographic information display module includes map display and graphical user interface, data visualization, three-dimensional simulation and analysis, thematic maps and statistical charts, dynamic interactive functions, data management and editing, and extended applications.

[0038] The intelligent irrigation and water-fertilizer management module includes a water-fertilizer integration system, a filtration system, a fertilization system, a central control system and a remote monitoring platform.

[0039] The pest and disease monitoring and management module collects images and data through tools such as remote video monitoring equipment, intelligently analyzes the type, degree and trend of field diseases, combines climate information, weather forecasts and historical data to predict the type, time and trend of pest and disease occurrence, and continuously optimizes the early warning model, including image processing module, spatial relationship module, feature enhancement module, potential representation learning module, spatiotemporal prediction module, anomaly detection module and prevention and control decision-making module, allowing users to view data in real time through mobile applications or PCs and remotely manage equipment.

[0040] The sales statistics and logistics management module includes sales data statistics, order management and analysis, customer management, sales return and exchange management, and sales execution tracking.

[0041] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A smart agricultural monitoring data statistical management system, comprising: Data collection and storage module: responsible for real-time collection of various data in the agricultural production process, such as weather, soil, crop growth conditions, etc., and storing these data in the cloud database; Data analysis and decision support module: Use big data analysis technology to conduct in-depth mining and analysis of collected data, provide decision support, and help farmers make scientific decisions; Environmental monitoring module: monitors environmental parameters such as temperature, humidity, light, soil moisture, etc. in real time through sensors installed in farmland, and transmits data to the monitoring center; Early warning and alarm module: When the monitored environmental parameters exceed the normal range, the system will issue an early warning message to remind managers to take corresponding measures; User interface module: provides functions such as data query, display and remote control, enabling users to view farmland environmental parameters through a web interface or mobile phone application, and perform manual or automatic control; Intelligent irrigation and water and fertilizer management module: automatically adjusts irrigation and fertilization equipment based on data analysis results to achieve intelligent management; Pest and disease monitoring and management module: detects crop pest and disease conditions through image acquisition and analysis technology, and provides corresponding prevention and control suggestions; Sales statistics and logistics management module: statistics on the sales of agricultural products, management of the storage and transportation of agricultural products, and ensuring product quality and safety; User management module: supports functions such as user registration, login, and authority allocation to ensure the security and reliability of the system; Geographic information display module: Utilizes geographic information technology to display the distribution, production areas and sales of agricultural products in the form of maps, providing an intuitive traceability experience.

2. The smart agriculture monitoring data statistical management system according to claim 1 is characterized by: The data acquisition and storage module includes a temperature and humidity sensor, a soil moisture sensor, a light sensor, a CO2 concentration sensor and a display, wherein the storage module is an SD card, a W25Q64 serial Flash memory or an EEPROM module.

3. The smart agricultural monitoring data statistical management system according to claim 1 is characterized in that: The environment monitoring module includes a light sensor, a smoke sensor, an atmospheric pressure sensor, a water level sensor, a wind speed sensor and a raindrop sensor.

4. The smart agricultural monitoring data statistical management system according to claim 1 is characterized in that: The geographic information display module includes map display and graphical user interface, data visualization, three-dimensional simulation and analysis, thematic maps and statistical charts, dynamic interactive functions, data management and editing and extended applications.

5. The smart agriculture monitoring data statistical management system according to claim 1 is characterized by: The intelligent irrigation and water-fertilizer management module includes a water-fertilizer integration system, a filtration system, a fertilization system, a central control system and a remote monitoring platform.

6. The smart agricultural monitoring data statistical management system according to claim 1 is characterized in that: The pest and disease monitoring and management module collects images and data through tools such as remote video monitoring equipment, intelligently analyzes the type, degree and trend of field diseases, combines climate information, weather forecasts and historical data to predict the type, time and trend of pest and disease occurrence, and continuously optimizes the early warning model, including image processing module, spatial relationship module, feature enhancement module, potential representation learning module, spatiotemporal prediction module, anomaly detection module and prevention and control decision-making module, allowing users to view data in real time through mobile applications or PCs and remotely manage equipment.

7. The smart agricultural monitoring data statistical management system according to claim 1 is characterized by: The sales statistics and logistics management module includes sales data statistics, order management and analysis, customer management, sales return and exchange management, and sales execution tracking.