This book examines different innovations in worldwide agricultural-systems including the applications of artificial intelligence (AI), internet of things (IoT) and features of machine learning (ML) for the benefits of the farm-community. Specifically, it examines the use of agricultural equipment and IoT to reduce physical stress; innovative equipment that measure and reduce mental work load; and innovative techniques to help with employee safety. Featuring case studies and future implications, this book is an excellent guide for academics and researchers in the agri-sector.

This book provides a conceptual description of the PDCA cycle and the tools that support it. A brief literature review is given for each tool, indicating the timeline according to Scopus, the main areas in which they are applied, the main authors and the journals that most publish on these topics. It reports three industrial applications, one focusing on cost reduction, the second on optimizing a manufacturing company's raw material receiving process, and the third one on eliminating waste and increasing performance.