The surge in global population is compelling a shift toward smart agriculture practices. This coupled with the diminishing natural resources, limited availability of arable land, increase in unpredictable weather conditions, makes food security a primary concern for most countries. As a result, the used Internet of Things (IoT) and advanced analytics are employed to enhance operational efficiency and productivity in the agriculture sector. There is a paradigm shift from the use of wireless sensor networks (WSN) as a significant driver of smart agriculture to the use of IoT and advanced analytics. The IoT integrates several existing technologies, such as WSN, radio frequency identification, cloud computing, middleware systems, and end-user applications. In this chapter, several benefits and challenges of advanced analytics have been identified. We present the advanced analytics ecosystem and how the combination of IoT and advanced analytics is enabling smart agriculture. Furthermore, we provide future trends and opportunities categorized into
technological innovations, application scenarios, business, and marketability.