Internet of things (IoT) and data analytics in smart agriculture: Benefits and challenges

Abstract The increasing worldwide populace is convincing people toward smart farming practices. A smart agriculture refers to all sorts of developments related to farming to marking or distribution and reaching the end user without any wastage. The use of today’s advanced technology gives us increased productivity in optimized resource uses. That is possible if the farmer cultivates in a controlled and transparent way. A smart farm is an example of facilitating sustainable agricultural productivity increases. This coupled with decreasing common assets, restricted accessibility of arable land, and increments in flighty climate conditions make food security a significant worry for most nations. Thus, the Internet of Things (IoT) and data analytics (DA) are used to upgrade the operational effectiveness and profitability in horticulture. It not only gives importance to increased productivity, but it also emphasizes environmental sustainability along with features of data analytics, where the task is to find requirements and predict the suitability of a crop. There is a change in outlook from the utilization of wireless sensor networks (WSN) as a significant driver of shrewd agribusiness to the utilization of IoT and DA. The IoT coordinates a few existing advances, such as WSN, radio recurrence ID, distributed computing, middleware frameworks, and end client applications. In this chapter, a few advantages and difficulties of IoT are distinguished. This article shows that the IoT environment with DA analysis is leading to brilliant and smart agriculture. Moreover, we give future patterns and openings, which are arranged into mechanical advancements, application situations, business, and attractiveness.