基于云计算的特色农庄平台设计与探讨

Design and Discussion of Characteristic Farm Platform Based on Cloud Computing

建立了基于云计算平台下的特色农庄智慧模型,以解决人们追求高品质、低碳生活的难题为目的。提出特色农庄的构思,采用LVQ神经网络算法构建虫情预测模型,解决特色农庄中的虫害问题;采用聚类算法构建蔬菜瓜果的价格预测模型,对各种蔬菜的价格进行预测。将虫情预测模型、特色农庄远程视频以及相关的信息搭建在云平台下,从而供顾客使用。实例分析结果表明:该平台的使用,增添了特色农庄的智能性,突显了农庄的特色,为绿色生活的全面实现奠定了坚实的基础。总之,基于云计算特色农庄的提出填补了信息化建设在农庄中应用的空白,缓减了城市白领高强度的生活节奏,引领了健康的生活方式。

Based on cloud computing platform,a characteristic farm wisdom model is built to reach the purpose of solving the problem that people pursue high quality and lowcarbon life.The conception of characteristic farm is put forward and the LVQ neural network algorithm is used to set up the pest forecasting model which solves the problem of insect pests.Then,clustering algorithm is used to construct price prediction model of fruits and vegetables to forecast their price.And the pest forecasting model,remote video of characteristic farm and relevant information for customers are built on cloud platform to serve the customers.Analysis of the example shows that the platform increase the intelligence of the farm,highlights the features of that,and laid a solid foundation for the comprehensive implementation of the green life.In conclusion,the characteristics farm based on cloud computing is proposed to fill the gaps in information construction used in farm and ease the pace of life with high strength for urban white-collar,leading a healthy lifestyle.