Agricultural Internet Of Things And Decision Support For Smart Farming

Synopsis : Agricultural Internet of Things and Decision Support for Smart Farming written by Annamaria Castrignano, published by Academic Press which was released on 01 October 2019. Download Agricultural Internet of Things and Decision Support for Smart Farming Books now! Available in PDF, EPUB, Mobi Format. Agricultural Internet of things and Decision Support System for Precision Smart Farming reveals how a set of key enabling technologies (KET), related to agronomic management, remote and proximal sensing, data mining, decision making and automation can be efficiently integrated in one system. As precision farming moves from increasing awareness of the importance of data and reliable tools capable of recording, estimating and predicting various resource-use and growth-states for improved sustainability in agriculture this book provides the insights necessary to move from awareness to application. The book presents real-world information on how KETs enable: 1) monitoring real time conditions of soil, plant and micro-climate; 2) determining real time site-specific requirement of the crop system; 3) developing a decision support system (DSS) aimed at maximising the efficient use of resources; 4) planning agronomic inputs differentiated in time and space, so to optimize multi-objective functions; 5) actuating real-time local procedures. In this perspective farming is considered as a cyber-physical system, capable to collect and record multi-source data, process them and transform the extracted information into action for optimal management.Written by a team of experts with global experience, this book is ideal for researchers, academics, post-graduate students and practitioners who are willing to embrace the new technologies and the new way of managing agriculture. Presents the science behind smart technologies for agricultural management Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable