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Agricultural informatics : automation using the IoT and machine learning /

"The emergence of automation in agriculture has become an important issue for every country. The world population is increasing at a very fast rate, and along with this increase in population the need for food is also increasing at a brisk pace. Traditional methods used by farmers are no longer...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Choudhury, Amitava (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : Wiley-Scrivener, 2021.
Edición:First edition.
Colección:Advances in learning analytics for intelligent cloud-IoT systems
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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049 |a UAMI 
245 0 0 |a Agricultural informatics :  |b automation using the IoT and machine learning /  |c edited by Amitava Choudhury, Arindam Biswas, Manish Prateek, Amlan Chakrabarti. 
250 |a First edition. 
263 |a 2105 
264 1 |a Hoboken, NJ :  |b Wiley-Scrivener,  |c 2021. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Advances in learning analytics for intelligent cloud-IoT systems 
504 |a Includes bibliographical references and index. 
520 |a "The emergence of automation in agriculture has become an important issue for every country. The world population is increasing at a very fast rate, and along with this increase in population the need for food is also increasing at a brisk pace. Traditional methods used by farmers are no longer sufficient to serve this increasing demand, resulting in the intensified use of harmful pesticides. This in turn has had a profound effect on agricultural practices, which in the end can render the land barren. This book discusses the different automation practices, including the internet of things (IoT), wireless communications, machine learning, artificial intelligence, and deep learning, currently being employed to address this problem. There are some areas of concern in the field of agriculture, such as crop disease, lack of storage, weed and water management, pesticide control, and lack of irrigation, all of which can be solved using the different techniques mentioned above"--  |c Provided by publisher. 
588 |a Description based on print version record and CIP data provided by publisher; resource not viewed. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Agricultural informatics. 
650 0 |a Agriculture  |x Data processing. 
650 0 |a Internet of things. 
650 0 |a Machine learning. 
650 6 |a Agriculture  |x Informatique. 
650 6 |a Internet des objets. 
650 6 |a Apprentissage automatique. 
650 7 |a Agricultural informatics.  |2 fast  |0 (OCoLC)fst00800913 
650 7 |a Agriculture  |x Data processing.  |2 fast  |0 (OCoLC)fst00801402 
650 7 |a Internet of things.  |2 fast  |0 (OCoLC)fst01894151 
650 7 |a Machine learning.  |2 fast  |0 (OCoLC)fst01004795 
700 1 |a Choudhury, Amitava,  |e editor. 
776 0 8 |i Print version:  |t Agricultural informatics  |b First edition.  |d Hoboken, NJ : Wiley-Scrivener, 2021.  |z 9781119768845  |w (DLC) 2021007306 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781119768845/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
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938 |a EBSCOhost  |b EBSC  |n 2761905 
994 |a 92  |b IZTAP