Agriculture 5.0 : (Record no. 128772)

000 -LEADER
fixed length control field 05628cam a22005531i 4500
001 - CONTROL NUMBER
control field 9781003125433
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220509193037.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201130s2021 flua o 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000364439
-- (ePub ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000364437
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000364415
-- (PDF ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000364410
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003125433
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1003125433
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000364422
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000364429
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780367646080 (hbk.)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1201/9781003125433
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1242734207
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1242734207
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number S494.5.D3
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC
Subject category code subdivision 003000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI
Subject category code subdivision 011000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC
Subject category code subdivision 003040
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TVB
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 630.208563
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ahmad, Latief,
Relator term author.
245 10 - TITLE STATEMENT
Title Agriculture 5.0 :
Remainder of title artificial intelligence, IoT and machine learning /
Statement of responsibility, etc Latief Ahmad, Firasath Nabi.
250 ## - EDITION STATEMENT
Edition statement 1st.
264 #1 -
-- Boca Raton :
-- CRC Press,
-- 2021.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource :
Other physical details illustrations (black and white, and colour)
336 ## -
-- text
-- rdacontent
336 ## -
-- still image
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
500 ## - GENERAL NOTE
General note Introduction to precision agriculture. Smart intelligent Precision agriculture. Adoption of Wireless Sensor Network (WSN) in Smart Agriculture. IoT (Internet of Things) based Agricultural Systems. AI (Artificial Intelligence) Driven Smart Agriculture. Machine Learning (ML) Driven Agriculture. Data Driven Smart Farming. Decision making and Decision support systems. Agriculture 5.0- The Future. Social and Economic Impacts. Environmental impact and regulations. Environmental impact and regulations.
520 ## - SUMMARY, ETC.
Summary, etc Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV's or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA. Features: Detailed description of the latest tools and technologies available for the Agriculture 5.0. Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming. Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming. Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production.
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
General subdivision Agricultural applications.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY / Agriculture / General
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCIENCE / Life Sciences / Botany
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY / Agriculture / Forestry
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nabi, Firasath,
Relator term author.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781003125433
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

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