Internet of Things and Machine Learning in Agriculture : Technological Impacts and Challenges /
ed. by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore.
- 1 online resource (XVI, 408 p.)
- De Gruyter Frontiers in Computational Intelligence , 8 2512-8868 ; .
restricted access http://purl.org/coar/access_right/c_16ec
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.
Mode of access: Internet via World Wide Web.
In English.
9783110691276
10.1515/9783110691276 doi
Agrarwissenschaften.
Big Data.
Internet der Dinge.
Künstliche Intelligenz.
Maschinelles Lernen.
Umweltwissenschaften.
COMPUTERS / Information Technology.
restricted access http://purl.org/coar/access_right/c_16ec
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.
Mode of access: Internet via World Wide Web.
In English.
9783110691276
10.1515/9783110691276 doi
Agrarwissenschaften.
Big Data.
Internet der Dinge.
Künstliche Intelligenz.
Maschinelles Lernen.
Umweltwissenschaften.
COMPUTERS / Information Technology.