Smart Agriculture System Using IoT and Data Analytics

Agriculture is rapidly evolving through the integration of modern technologies such as the Internet of Things (IoT) and data analytics. Smart agriculture, supported by IoT, aims to improve productivity, efficiency, and sustainability in farming by enabling real-time monitoring and automated decision-making. This research paper presents a literature review on IoT-based smart agriculture systems, focusing on how connected devices and data-driven insights can transform traditional farming practices. Various studies highlight the use of sensors like soil moisture, temperature, humidity, and rainfall detectors that collect environmental data for precise crop management. These sensors, when connected through wireless networks and supported by cloud or edge computing, allow farmers to monitor and control agricultural operations remotely. The reviewed literature also discusses the integration of IoT with artificial intelligence, big data, and mobile applications, which together create intelligent decision-support systems for farmers. Despite these advancements, challenges such as data security, cost of implementation, and lack of standardization still exist. This paper concludes that IoT and data analytics hold significant potential for building smarter and more sustainable agricultural systems, paving the way for improved crop yield, efficient resource utilization, and better decision-making in the agricultural sector.