Real-time monitoring management system of intelligent agriculture based on big data

Abstract

The invention discloses a real-time monitoring management system of intelligent agriculture based on big data. The real-time monitoring management system of intelligent agriculture based on big data comprises a rice field environment parameter detection module, a soil nutrient parameter detection module, a parameter pre-processing module, an image acquisition module, an insect disease classification identification module, a management database, a remote server, an irrigation analysis module, an execution terminal and a display terminal. According to the real-time monitoring management system of intelligent agriculture based on big data in the invention, related environment parameters of a rice field are acquired; irrigation environment influence coefficients of the rice field are counted;then, the irrigation amount corresponding to the area of the rice field is obtained according to the water demand of the unit rice field area corresponding to various growth periods of rice; in combination with acquisition processing of rice growth images, insect disease types are analyzed and identified; the pesticide type and the pesticide amount are determined; simultaneously, the nutrient kinds and contents of soil in the rice field are detected; the nutrient kinds and the contents deficient in the soil of the rice field are analyzed; the execution terminal is controlled to quantitativelyexecute irrigation, fertilization and pesticide spraying operations; and thus, precise control of the rice irrigation amount, the fertilization amount and the pesticide spraying amount is greatly increased.

Description

technical field [0001] The invention belongs to the field of big data monitoring systems, and relates to a real-time monitoring and management system for smart agriculture based on big data. Background technique [0002] Smart agriculture is the application of Internet of Things technology to traditional agriculture. Through a large number of sensor nodes deployed in target areas such as farmland, greenhouses, and gardens, information such as temperature, humidity, light, gas concentration, soil moisture, and electrical conductivity can be collected in real time. And aggregated to the central control system; agricultural production personnel can analyze the environment through monitoring data, so as to put agricultural production materials in a targeted manner, and mobilize various execution equipment as needed to realize intelligent control of the agricultural growth environment. Smart agriculture is The future development direction of traditional agriculture. [0003] Irr...

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Problems solved by technology

[0003] Irrigation, fertilization and pesticide spraying in traditional agriculture are mostly controlled by the personal experience of agricultural water conservancy managers, but the control of irrigation, fertilization and pesticide spraying based on experience cannot be scientifically controlled according to the actual needs of crops, and cannot provide for crops in a timely manner. Each growth stage provides the optimal amount of irrigation, fertilization and pesticide spraying, which affects the growth of crops, resulting in low crop yields; in view of the above problems, a real-time monitoring and management system for smart agriculture based on big data is now designed

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