13. REVIEW ON IOT BASED SMARFARMING

This work aims to show how to manage heterogeneous information and data coming from real datasets that collect physical, biological, and sensory values. As productive companies — public or private, large or small —need increasing profitability with costs redu ction, discovering appropriate ways to exploit data that are continuously recorded and made available can be the right choice to achieve these goals. The agricultural field is only apparently refractory to the digital technology and the “smart farm” model is increasingly widespread by exploiting the Internet of Things (IoT) paradigm applied to environmental and historical information through time -series. The focus of this study is the design and deployment of practical tasks, ranging from crop harvest forec asting to missing or wrong sensors data reconstruction, exploiting and comparing various machine learning techniques to suggest toward which direction to employ efforts and investments. The results of related work till now show how there are ample margins for innovation while fulfilling demands and needs made by businesses who want to use an agro industrial business that is sustainable and optimised, investing not just in technology but also in the knowledge and experienced personnel needed to get the most out of it.