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Applications of Computer Vision and Drone Technology in Agriculture 4.0 (Record no. 58408)

MARC details
000 -LEADER
fixed length control field 05296nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-981-99-8684-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030111726.0
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 240318s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819986842
-- 978-981-99-8684-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-99-8684-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number S1-972
072 #7 - SUBJECT CATEGORY CODE
Subject category code TVB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC003000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TVB
Source thema
245 10 - TITLE STATEMENT
Title Applications of Computer Vision and Drone Technology in Agriculture 4.0
Medium [electronic resource] /
Statement of responsibility, etc. edited by Siddharth Singh Chouhan, Uday Pratap Singh, Sanjeev Jain.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XXIII, 321 p. 1 illus.
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
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1 - Introduction to Computer Vison and Drone Technology -- Chapter 2 - Digital Insights into Plant Health: Exploring Vegetation Indices through Computer Vision -- Chapter 3 - Computer Vision and Agricultural Robotics for Disease Control -- Chapter 4 - Automated system for comprehensive plant disease analysis -- Chapter 5 - Computer Vision-Based Smart Monitoring and Control System for Crop -- Chapter 6- Implementations and Rationale for Blockchain Technique in Agriculture -- Chapter 7 - LeafNet – Design and Evaluation of a Deep CNN Model for Recognition of Plant Leaves, Chapter 8 - Harnessing Computer Vision for Agricultural Transformation: Insights, Techniques, and Applications -- Chapter 9 - Different vegetation indices measurement using computer vision -- Chapter 10 - Disease Control Measures Using Vision Enabled Agricultural Robotics -- Chapter 11 - Assessing the Quantity of a Crop Field Using Aerial Images -- Chapter 12 - Drone Based Intelligent Spraying of Pesticides: CurrentChallenges and its Future Prospects -- Chapter 13 - Drone spraying system for efficient agrochemical application in precision agriculture -- Chapter 14 - Efficient Patch-wise Crop Detection Algorithm for UAV-generated Orthomosaic -- Chapter 15 - Economic Evaluation of UAV-Based Soil Sampling Approaches -- Chapter 16 - Ariel Green Vision using Quad copter Pesticide Sprayer Drones - A Third Eye for Farmers -- Chapter 17 - Revolutionizing Agriculture: The Application of Computer Vision and Drone Technology.
520 ## - SUMMARY, ETC.
Summary, etc. This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists. The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields. This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.
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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 68084
650 14 - 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
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 68085
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chouhan, Siddharth Singh.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 73244
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Singh, Uday Pratap.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 73245
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jain, Sanjeev.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 73246
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 9789819986835
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819986859
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819986866
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-99-8684-2">https://doi.org/10.1007/978-981-99-8684-2</a>
912 ## -
-- ZDB-2-SBL
912 ## -
-- ZDB-2-SXB

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