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Intelligent Robots and Drones for Precision Agriculture (Record no. 58495)

MARC details
000 -LEADER
fixed length control field 05313nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-3-031-51195-0
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030111732.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240320s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031511950
-- 978-3-031-51195-0
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-51195-0
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ212-225
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ210.2-211.495
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC007000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM
Source thema
245 10 - TITLE STATEMENT
Title Intelligent Robots and Drones for Precision Agriculture
Medium [electronic resource] /
Statement of responsibility, etc. edited by Sundaravadivazhagan Balasubramanian, Gnanasankaran Natarajan, Pethuru Raj Chelliah.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent VIII, 479 p. 146 illus., 105 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Signals and Communication Technology,
International Standard Serial Number 1860-4870
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Intelligent computing with drones and robotics for Precision Agriculture -- Smart Farming and Precision Agriculture and Its Need in Today’s World -- Role of Machine Learning in Smart Farming and Its Applications -- Types of Soil Classification for the Identification of the Right Crop to be Cultivated -- Convergence of IoT, Big Data and Machine Learning for better yield Prediction in Smart Farming -- Soil Classification and Crop Prediction using Machine Learning Techniques -- Artificial Intelligence (AI) – enabled Drone Technology for Smart Farming -- Connected Drones for Smart Farming: The Use Cases and Challenges -- Drones and Robots in Smart Agriculture -- IoT-based Precision Agriculture and Crop Management using Machine Learning Approaches -- Smart Organic Agriculture in Traditional South Indian Based Farming System -- Crop and Fertilizer Recommendation System for Sustainable Agricultural Development -- The Role of Robotics and Drones in Precision Farming using Artificial Intelligence with an Automatic Learning Approach -- Applications of UAV-AD (Unmanned Aerial Vehicle-Agricultural Drones) in Precision Farming -- Machine Learning (ML) Algorithms on IoT and Drone Data for Smart Farming -- Recent improvements and major challenges in Digitized farming: A review -- A Comprehensive Review on the Internet of Things, 5G network, Drone Technologies for Smart Agriculture -- Internet of Things based Smart Agriculture Advisory System -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc. This book provides extensive information about smart farming, precision agriculture and the technologies that make them succeed. The authors provide detailed machine learning and deep learning models and algorithms that can be implemented effectively to improve smart farming methods. The authors also give elaborate information about the various IoT devices and types of drones that are used vastly in smart farming culture. The authors show specifically how methods and techniques used to improve the crop yield can be executed to help the farmers to improve the agricultural process and cultivation methods using a rule-based methodology. The purpose of this book is to articulate the need for processes, platforms, practices, patterns, and rules to be followed for the better yield of crop production and how IoT, robotics and drones can be used to improve the economy of the countries in the field of agriculture. In a nutshell, the book shows how the combination of multiple cutting-edge technologies leads to the realization of state-of-the-art infrastructures for next-generation agriculture. Provides insight on collecting and analyzing data using machine learning and deep learning methods for smart farming; Includes detail on how to use AI, IoT, drone technology and robotics effectively in smart farming; Details irrigation methods, soil classification, and prominent cultivation tools that can be improved using technology.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 59148
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 59149
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 68079
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 68079
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Balasubramanian, Sundaravadivazhagan.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 73498
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Natarajan, Gnanasankaran.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 73499
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chelliah, Pethuru Raj.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 73500
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031511943
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031511967
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031511974
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Signals and Communication Technology,
International Standard Serial Number 1860-4870
9 (RLIN) 18936
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-51195-0">https://doi.org/10.1007/978-3-031-51195-0</a>
912 ## -
-- ZDB-2-INR
912 ## -
-- ZDB-2-SXIT

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