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With the rise of the Internet of Things, data accumulation speed, dimension and volume are also growing, and has become a real big data category. The large variety of sensors deployed in agricultural greenhouses produces a large number of multi-source heterogeneous sensing data, and there are various types of dirty data that need to be cleaned. In this paper, data cleaning, model building and model application are described in detail. Firstly, data cleaning technology and multi-source heterogeneous data fusion technology are introduced. Then, common forecasting model construction methods are listed. Finally, common application fields are introduced. Summarizes and summarizes, and puts forward the existing problems, as well as the prospect of the future.