Study on agricultural condition monitoring and diagnosing of integrated platform based on the internet of things

Abstract

In order to meet the needs of modern agriculture, with the internet of things and related technologies, the author has developed a set of agricultural condition monitoring and diagnosing of integrated platform for experiment. The platform used the client and server mode, include environmental factor of monitoring platform, intelligent decision sub platform and expert remote science and technology advisory services subsidiary platform. Environmental factors collected by data acquisition module, and transmit through network. Audio and video data used the XMPP protocol extension Jingle transmission; Use the knowledge base, fuzzy theory, self learning algorithm of intelligent to achieve decision-making and control. The platform has been experimented in the vegetable greenhouses, which can carry out remote supervisory and automated control and expert remote diagnosis and consultation, improving the facilities agriculture management level. © 2013 IFIP International Federation for Information Processing.