Internet of Things and Machine Learning in Agriculture

Technological Impacts and Challenges
1. Auflage 2021
ISBN: 978-3-11-069122-1
Verlag: De Gruyter

Buch, Englisch, 408 Seiten, Format (B × H): 170 mm x 240 mm, Gewicht: 844 g

Reihe: ISSN

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.

Zielgruppe

Post Graduate students, Research Scholars, Researchers, Practitio

Autoren/Hrsg.

Chatterjee, Jyotir Moy

Kumar, Abhishek

Rathore, Pramod Singh

Jain, Vishal

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Über Autor(innen)

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