基于人工智能和云计算的智慧农业平台设计研究

Research on the Design of Smart Agriculture Platform Basedon Artificial Intelligence and Cloud Computing

面向物联网在传统农业中的应用需求,提出了基于人工智能和云计算的智慧农业平台(SAPAICC).SAPAICC由农业数据采集层、边缘计算层和云计算层组成,结合人工智能模型对农业数据进行分析和预测,并作出相应的控制.在SAPAICC中设计了预测模块,提出基于神经网络的预测模型.在实验评估部分,通过在实际应用环境中部署SAPAICC,验证了所提模型的有效性.

Facing the application requirements of the Internet of Things in traditional agriculture,this paper proposes a Smart Agriculture Platform based on Artificial Intelligence and Cloud Computing(SAPAICC).SAPAICC is composed of agricultural data collection layer,edge computing layer and cloud computing layer,combined with artificial intelligence model to analyze and predict agricultural data,and make corresponding control.In this paper,a forecasting module is designed in SAPAICC,and a forecasting model based on neural network is proposed.In the experimental evaluation part,this paper verifies the effectiveness of the proposed model by deploying SAPAICC in a real application environment.