Buch, Englisch, 114 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 213 g
Buch, Englisch, 114 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 213 g
Reihe: Innovation, Technology, and Knowledge Management
ISBN: 978-3-030-88830-5
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Primärer Sektor Agrarökonomie, Ernährungswirtschaft
- Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
Weitere Infos & Material
Chapter 1. The Prevailing Problems in the Global Agri-sectors.- Chapter 2. Literature on the Global Agri-sectors: An Overview.- Chapter 3. Features of ‘Internet of Things’ to Resolve Agricultural Problems.- Chapter 4. Measurement and Prediction of Mental Stress Through Innovative Equipment in Agriculture.- Chapter 5. Personal Protective Equipment for Farmers.- Chapter 6. Food safety and IoT-based Solution.- Chapter 7. Findings and future implications.