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100%: Redaktion: Chatterjee, Jyotir Moy; Jain, Vishal; Rathore, Pramod Singh; Kumar, Abhishek: Internet of Things and Machine Learning in Agriculture (eBook, ePUB) (ISBN: 9783110691283) in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Vishal Jain: Internet of Things and Machine Learning in Agriculture (ISBN: 9781685072162) 2021, Nova Science Publishers, Inc., in Englisch, auch als eBook.
Nur diese Ausgabe anzeigen…
Nur diese Ausgabe anzeigen…
Internet of Things and Machine Learning in Agriculture (eBook, ePUB)
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Bester Preis: € 77,95 (vom 01.02.2021)1
Internet of Things and Machine Learning in Agriculture (2021)
~EN NW EB DLISBN: 9781685072162 bzw. 168507216X, vermutlich in Englisch, 253 Seiten, Nova Science Publishers, Inc. neu, E-Book, elektronischer Download.
Lieferung aus: Schweiz, Download sofort lieferbar.
eBooks, eBook Download (PDF), Agriculture is one of the most fundamental human activities. It has kept humans happier and healthier and helped birth modern society as we know it. As farming has expanded, however, the usage of resources such as land, fertilizer, and water has grown exponentially. Environmental pressures from modern farming techniques have stressed our natural landscapes. Still, by some estimates, worldwide food production will need to increase 70% by 2050 to keep up with global demand. With global populations rising, it falls to technology to make farming processes more efficient and keep up with the growing demand. Fortunately, Machine Learning (ML) and the Internet of Things (IoT) can play a very promising role in the agricultural industry. Some examples include: an AI-powered drone to monitor the field, an IoT-designed automated crop watering system, sensors embedded in the field to monitor temperature and humidity, etc. The agriculture industry is the largest in the world, but when it comes to innovation there is a lot more to explore. IoT devices can be used to analyze the status of crops. For instance, with soil sensors, farmers can detect any irregular conditions such as high acidity and efficiently tackle these issues to improve their yield. In this book, we will point out the challenges facing the agro-industry that can be addressed by ML and IoT and explore the impacts of these technologies in the agriculture sector.
eBooks, eBook Download (PDF), Agriculture is one of the most fundamental human activities. It has kept humans happier and healthier and helped birth modern society as we know it. As farming has expanded, however, the usage of resources such as land, fertilizer, and water has grown exponentially. Environmental pressures from modern farming techniques have stressed our natural landscapes. Still, by some estimates, worldwide food production will need to increase 70% by 2050 to keep up with global demand. With global populations rising, it falls to technology to make farming processes more efficient and keep up with the growing demand. Fortunately, Machine Learning (ML) and the Internet of Things (IoT) can play a very promising role in the agricultural industry. Some examples include: an AI-powered drone to monitor the field, an IoT-designed automated crop watering system, sensors embedded in the field to monitor temperature and humidity, etc. The agriculture industry is the largest in the world, but when it comes to innovation there is a lot more to explore. IoT devices can be used to analyze the status of crops. For instance, with soil sensors, farmers can detect any irregular conditions such as high acidity and efficiently tackle these issues to improve their yield. In this book, we will point out the challenges facing the agro-industry that can be addressed by ML and IoT and explore the impacts of these technologies in the agriculture sector.
2
Internet of Things and Machine Learning in Agriculture (eBook, ePUB)
~EN NWISBN: 9783110691283 bzw. 3110691280, vermutlich in Englisch, Gruyter, Walter de GmbH, neu.
Lieferung aus: Österreich, Erscheint vor. 08.02.21, Versandkostenfrei innerhalb von Deutschland.
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.
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.
3
Internet of Things and Machine Learning in Agriculture
~EN NW EB DLISBN: 9783110691283 bzw. 3110691280, vermutlich in Englisch, de Gruyter, Berlin/New York, Deutschland, neu, E-Book, elektronischer Download.
Internet of Things and Machine Learning in Agriculture ab 109.99 EURO Technological Impacts and Challenges.
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