Internet of Things and Machine Learning in Agriculture
Technological Impacts and Challenges
Seiten
2021
De Gruyter (Verlag)
978-3-11-069122-1 (ISBN)
De Gruyter (Verlag)
978-3-11-069122-1 (ISBN)
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.
lt;p>Jyotir Moy Chatterjee, LBEF, Nepal; Abhishek Kumar, CUIET, India; P. S. Rathore, ACERC, India; Vishal Jain, Sharda University, India
Erscheinungsdatum | 09.02.2021 |
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Reihe/Serie | De Gruyter Frontiers in Computational Intelligence ; 8 |
Zusatzinfo | 170 b/w ill., 43 b/w tbl. |
Verlagsort | Berlin/Boston |
Sprache | englisch |
Maße | 170 x 240 mm |
Gewicht | 844 g |
Themenwelt | Mathematik / Informatik ► Informatik |
Schlagworte | Agrarwissenschaften • Big Data • Internet der Dinge • Künstliche Intelligenz • Maschinelles Lernen • Umweltwissenschaften |
ISBN-10 | 3-11-069122-1 / 3110691221 |
ISBN-13 | 978-3-11-069122-1 / 9783110691221 |
Zustand | Neuware |
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