Just published by Elsevier "The agricultural Internet of Things and decision support for Smart Farming", edited by: Annamaria Castrignanò, Gabriele Buttafuoco, Raj Khosla, Abdul M. Mouazen, Dimitrios Moshou, Olivier Naud.
The purpose is to illustrate how a set of technologies related to agronomic management, remote and proximal survey, data mining, decision making and automation, can be efficiently integrated in one system.
The chapters cover how a set of key enabling technologies (KET) related to agronomic management enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resource and provide planning for agronomic inputs differentiated in time and space.
Ideal for researchers, academics, postgraduate students and professionals, the book presents presents the science behind smart technologies for agricultural management, reveals the power of data science and how to extract meaningful insights from big data and proves how advanced technologies can become site-specific, operationally feasible and economically affordable.