Abstract

Although China’s meteorological departments have established a considerable number of national meteorological information monitoring networks, the information gap between meteorological departments, agricultural experts and ordinary farmers makes it impossible for them to accurately determine the objectives of agricultural production and improve the quality and efficiency of standard weather forecasts. This document addresses these issues. Therefore, this paper discusses the meteorological data collection method, collection equipment, crop fertility knowledge base and service forecast model based on the internet of things (IoT), real-time sensor data and the national integrated meteorological information sharing platform (CIMISS), develops meteorological data collection equipment suitable for small-scale agricultural environment, and develops an intelligent IoT service platform for integrated meteorology. The system has been demonstrated in a city meteorological bureau, and the results show that it can provide technical support for efficient planting, accurate management and customized services of agricultural production.

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