In today’s age of computing and technology, farmers’ farming patterns have also become more modern with the growth of technology. The main goal of a smart agricultural system is to increase the yield of the field, so this chapter introduces a real-time data collection and analysis framework based on deep learning algorithms, builds a wireless sensor network to collect this data, and gets real-time monitoring by uploading it to the cloud. To improve agricultural productivity through smart farm management, the data analyzed must be well analyzed and processed. The framework will help farmers make decisions about the growing environment of their crops. Finally, the research results show that the prediction error of the proposed algorithm for crop growth environmental parameters is [0.97, 0.81], and the research compares it with seven popular algorithms, and the results show excellent performance.