Innovation in agriculture with IOT and AI

By:

Satapathy, Suchismita

Material type: Text

TextSeries: Innovation, technology, and knowledge managementPublication details: Springer Switzerland 2022Description: xvii, 114 pISBN:

9783030888275

Subject(s):

DDC classification:

338.16 SAT

Summary: This book examines different innovations in worldwide agricultural-systems including the applications of artificial intelligence (AI), internet of things (IoT) and features of machine learning (ML) for the benefits of the farm-community. Specifically, it examines the use of agricultural equipment and IoT to reduce physical stress; innovative equipment that measure and reduce mental work load; and innovative techniques to help with employee safety. Featuring case studies and future implications, this book is an excellent guide for academics and researchers in the agri-sector.

List(s) this item appears in: Non Fiction

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	338.16 SAT (Browse shelf(Opens below))	1	Available		004708

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Previous	338.064 MCA Machine, platform, crowd: harnessing our digital future	338.064 VEN The digital matrix: new rules for business transformation through technology	338.064 VEN Digital matrix:	338.16 SAT Innovation in agriculture with IOT and AI	338.470053092 WAL Hard drive: Bill Gates and the making of the Microsoft empire	338.82 HAR Monopolies and tech giants:	338.90028557 KSH Big data and cloud computing for development	Next

This book examines different innovations in worldwide agricultural-systems including the applications of artificial intelligence (AI), internet of things (IoT) and features of machine learning (ML) for the benefits of the farm-community. Specifically, it examines the use of agricultural equipment and IoT to reduce physical stress; innovative equipment that measure and reduce mental work load; and innovative techniques to help with employee safety. Featuring case studies and future implications, this book is an excellent guide for academics and researchers in the agri-sector.

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