Agricultural product production regulation and control system and method based on Internet of Things

Abstract

The invention discloses an agricultural product production regulation and control system and method based on the Internet of Things. The system comprises a cloud service platform, a comprehensive sensing terminal, a remote controlled terminal and a monitoring terminal, the comprehensive sensing terminal obtains growth environment data and space video data of an agricultural product production area, the cloud service platform processes and stores the two data, generates a cloud regulation and control instruction and cloud regulation and control data, and the remote controlled terminal adjusts production elements; and the cloud service platform generates crop generation process data based on the growth environment data, the space video data and the cloud regulation and control data, and the crop generation process data is inquired by the monitoring terminal. The method comprises the following steps: acquiring data, generating a regulation and control instruction by a cloud service platform, and adjusting production elements by a remote controlled terminal. According to the invention, automatic regulation and control of the crop growth environment and instant query of the monitoring terminal are realized, detailed production data in the crop production process are accumulated, quality traceability big data are established, and data support is provided for continuously improving the crop production efficiency and quality.

Description

technical field [0001] The application belongs to the field of crop production automation, and in particular relates to a system and method for regulating and controlling the production of agricultural products based on the Internet of Things. Background technique [0002] Precision agriculture is a modern agricultural production system based on information and knowledge management. The collection of farmland information is the primary task of implementing precision agriculture. These information data are the main data sources and parameters for farmland system analysis, decision-making and formulation of farmland variable operation prescriptions. [0003] The agricultural production process is inevitably affected by various farmland environmental factors such as temperature, humidity, and moisture. Therefore, applying modern information technology to the agricultural production process can collect farmland information in a timely and efficient manner, which is of great sign...

AI Technical Summary

Problems solved by technology

In order to realize the collection of crop growth environment information, the current main method is to set up an agricultural meteorological station close to the crop growth environment that needs to be monitored, and perform manual regulation based on the collected data, but this generation regulation method is not only low in data acquisition efficiency, but also time-consuming It is laborious and the control efficiency is not high; secondly, there is currently no complete big data on the quality of the agricultural product production process, resulting in no data to trace the product quality of agricultural products, and it is even more difficult to further improve the production quality and production efficiency of each stage of crop production

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