Literature survey on wireless sensor network using machine learning techniques for reformist agriculture

Recent developments in Wireless Sensor Networks (WSN), and Information and Communication Technology (ICT) capacity to address some of the environmental, economic, and technological challenges and opportunities in the sector. As the number of connected devices continues to grow, this generating enormous data in many ways as well as local and temporary. diversity. Intelligent analysis and analysis of this large data is necessary to develop a high level of knowledge base as well information that leads to better decision making, forecasting, and reliable sensory management. This paper is a comprehensive review the use of different machine learning algorithms for analyzing sensory data within the agricultural ecosystem.