Internet of Things and Machine Learning in Agriculture : Technological Impacts and Challenges

Unbekannt

ISBN 10: 3110691221 / ISBN 13: 9783110691221

Edité par Gruyter, Walter de GmbH, 2021

A propos de cet article

Zustand: Sehr gut | Seiten: 408 | Sprache: Englisch | Produktart: Bücher.

N° de réf. du vendeur 36990197/12

Détails bibliographiques

• Titre: Internet of Things and Machine Learning in Agriculture : Technological Impacts and Challenges
• Éditeur: Gruyter, Walter de GmbH
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 3110691221
• ISBN à 13 chiffres: 9783110691221
• Reliure: Couverture rigide
• État de l'article: Sehr gut
• Catalogues du vendeur:
  • Bücher

A propos de ce titre

Synopsis

Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.

À propos de l?auteur

Jyotir Moy Chatterjee, LBEF, Nepal; Abhishek Kumar, CUIET, India; P. S. Rathore, ACERC, India; Vishal Jain, Sharda University, India