Internet of Things based Expert System for Smart Agriculture

نویسندگان

  • Raheela Shahzadi
  • Javed Ferzund
  • Muhammad Tausif
  • Muhammad Asif Suryani
چکیده

Agriculture sector is evolving with the advent of the information and communication technology. Efforts are being made to enhance the productivity and reduce losses by using the state of the art technology and equipment. As most of the farmers are unaware of the technology and latest practices, many expert systems have been developed in the world to facilitate the farmers. However, these expert systems rely on the stored knowledge base. We propose an expert system based on the Internet of Things (IoT) that will use the input data collected in real time. It will help to take proactive and preventive actions to minimize the losses due to diseases and insects/pests. Keywords—Internet of Things; Smart Agriculture; Cotton; Plant Diseases; Wireless Sensor Network

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تاریخ انتشار 2016