About the book
Digital technology has helped researchers and growers to embrace the uncertainties involved in different aspects of crop production via a sense-process-act paradigm that is referred to as Digital Agriculture. The ultimate objective of this concept is to optimize the food production process and increase efficiencies. To achieve this, a combination of methods, tools, and software is used to collect data, extract the correct information, and implement the right actions. Although some of the technology and methods involved in these practices, such as Geographic Information System (GIS), yield monitoring platforms, and variable-rate applications have been already studied and covered in numerous published materials under the title of Precision Agriculture (PA), their impact on the entire agri-food value chain, as well as the relatively newer concepts such as Internet-of-Things, low-powered long-range wireless sensors, big data analysis, digital twins, and blockchain fall under the umbrella of DA.
This book intends to provide the reader with an overview of the technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making process, and innovative wireless solutions for implementing responses and actions. Each chapter is expected to engage with both the academic community and end-user farmers.