The success of modern-day agriculture lies in the digitalization of agricultural systems. The primary aim of this book is to provide a starting point to understand the fundamentals and design of digital agriculture systems with reference to the enabling technologies that deal with the production, improvement, and protection of crops/plants and livestock. The other associated objectives of this book include the explanation of the design and deployment of Io T-based digital agriculture systems in such a simple way that agriculture students understand straightforwardly. Therefore, this book is an effort to partially fill the gap associated with the understanding of the development and deployment of digital agriculture systems (including both precision and smart farming). We believe that with the provided details of enabling technologies and their usage in digital agriculture systems, agriculture students will find it easier to comprehend the designing of small-/large-scale Io T-based digital agriculture systems. This book provides insight into different technologies, architectures, and case studies that will ultimately help students to understand the concept of Digital Agriculture and its related applications. It enables students to realize the importance of open issues and future challenges of digital agriculture systems.
Spis treści
Chapter – 1 Fundamentals of Digital Agriculture.- Chapter – 2 Digital Agriculture Ecosystem.- Chapter – 3 Data Acquisition in Digital Agriculture.- Chapter – 4 Data Communication in Digital Agriculture.- Chapter – 5 Data Storage in Digital Agriculture.- Chapter – 6 Data Analytics in Digital Agriculture.- Chapter – 7 Impacts and Future Directions of Digital Agriculture.
O autorze
Muhammad Azhar Iqbal completed his Ph.D. in Communication and Information Systems in 2012 from Huazhong University of Science and Technology (HUST), China. Later he worked in different universities on different positions. Prior to his current tenure as Assistant Professor at the University of Leeds, Dr. Azhar held significant roles (as Teaching Fellow) at Lancaster University (LU, United Kingdom), (as Associate Professor) at Southwest Jiaotong University (SWJTU, China), and (as Associate Professor) at Capital University of Science and Technology (CUST, Pakistan). He has received senior membership IEEE and fellowship of the Higher Education Academy. He has authored several international conferences/journal publications and Leading Author of two books on the topic of Network Simulations and Internet of Things (Io T). Dr. Azhar’s current research interest is at the cutting edge of agriculture digitalization, and he is dedicated to developing artificial intelligence-based solutions aimed at improving sustainable crop/animal production systems.
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