Innovation in agriculture with IoT and AI Suchismita Satapathy, Debesh Mishra , Arturo Realyvasquez

By:

Satapathy, Suchismita

Contributor(s):

Material type: Text

TextSeries: Innovation, Technology and Knowledge ManagementPublication details: Cham, Switzerland : Springer, 2022Description: xvii, 114 pages) : illustrations (some color) 24 cmISBN:

9783030888275

Subject(s):

DDC classification:

338.16 SAT

Contents:

Chapter 1. The Prevailing Problems in the Global Agri-sectors Chapter 2. Literature on the Global Agri-sectors: An Overview Chapter 3. Features of 'Internet of Things' to Resolve Agricultural Problems Chapter 4. Measurement and Prediction of Mental Stress Through Innovative Equipment in Agriculture Chapter 5. Personal Protective Equipment for Farmers Chapter 6. Food safety and IoT-based Solution Chapter 7. Findings and future implications

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

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Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Books	IIITDM Kurnool General Stacks	Non-fiction	338.16 SAT (Browse shelf(Opens below))	Available	Costly Book		0005088

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Chapter 1. The Prevailing Problems in the Global Agri-sectors
Chapter 2. Literature on the Global Agri-sectors: An Overview
Chapter 3. Features of 'Internet of Things' to Resolve Agricultural Problems
Chapter 4. Measurement and Prediction of Mental Stress Through Innovative Equipment in Agriculture
Chapter 5. Personal Protective Equipment for Farmers
Chapter 6. Food safety and IoT-based Solution
Chapter 7. Findings and future implications

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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