Digital Twin Technology for Sustainable Agriculture (eBook)

Applications, Implementation and Future Trends
Artikelnummer: 978-981-9559-15-2
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
CHF 212.50
decrease increase

This book explores into the future of agriculture, where technology and sustainability intersect to revolutionize farming practices. It delves into the concept of digital twins-virtual replicas of physical farm assets and processes-and their transformative impacts on modern agriculture. The book also highlights various applications of digital twin technology in agriculture, from crop monitoring and soil health management to livestock productivity and precision irrigation. Through detailed case studies, real-world examples, and success stories, this book showcases the tangible benefits of integrating digital twins into farming operations. Moreover, it also addresses the implementation strategies for adopting this technology, including the integration of IoT sensors, data collection and development of digital twin frameworks. The authors conclude by discussing the technical, operational and data privacy issues that farmers and agricultural technologists may encounter, providing practical solutions to overcome these barriers in the agriculture sector.

This book is a suitable read for students, academicians and researchers working at the intersect of agriculture and artificial intelligence.

This book explores into the future of agriculture, where technology and sustainability intersect to revolutionize farming practices. It delves into the concept of digital twins-virtual replicas of physical farm assets and processes-and their transformative impacts on modern agriculture. The book also highlights various applications of digital twin technology in agriculture, from crop monitoring and soil health management to livestock productivity and precision irrigation. Through detailed case studies, real-world examples, and success stories, this book showcases the tangible benefits of integrating digital twins into farming operations. Moreover, it also addresses the implementation strategies for adopting this technology, including the integration of IoT sensors, data collection and development of digital twin frameworks. The authors conclude by discussing the technical, operational and data privacy issues that farmers and agricultural technologists may encounter, providing practical solutions to overcome these barriers in the agriculture sector.

This book is a suitable read for students, academicians and researchers working at the intersect of agriculture and artificial intelligence.

Schreiben Sie Ihre eigene Bewertung
  • Nur registrierte Benutzer können Produkte bewerten
*
*
Schlecht
Sehr gut
*
*
*
*
VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2026
Seitenangabe415 S.
AusgabekennzeichenEnglisch
AbbildungenXXXV, 415 p. 48 illus., 42 illus. in color.
Masse10'346 KB
PlattformPDF
ReiheBiomedical and Life Sciences; Biomedical and Life Sciences
AutorSrivastav, Arun Lal (Hrsg.) / Kumar, Naveen (Hrsg.) / Zinicovscaia, Inga (Hrsg.)

Alle Bände der Reihe "Biomedical and Life Sciences; Biomedical and Life Sciences (R0)"

Über den Autor Arun Lal (Hrsg.) Srivastav

282564415

Weitere Titel von Arun Lal (Hrsg.) Srivastav

Produktbewertungen
Nur registrierte Benutzer können Produkte bewerten