MARC details
000 -LIDER |
fixed length control field |
04840nam a22005895i 4500 |
001 - CONTROL NUMBER |
control field |
978-981-97-7762-4 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250516160204.0 |
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 |
241219s2024 si | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9789819777624 |
-- |
978-981-97-7762-4 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q342 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UYQ |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM004000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UYQ |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.3 |
Edition number |
23 |
245 10 - TITLE STATEMENT |
Title |
Harnessing Data Science for Sustainable Agriculture and Natural Resource Management |
Medium |
[electronic resource] / |
Statement of responsibility, etc. |
edited by Mehul S. Raval, Sanjay Chaudhary, J. Adinarayana, Wei Guo. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2024. |
264 #1 - |
-- |
Singapore : |
-- |
Springer Nature Singapore : |
-- |
Imprint: Springer, |
-- |
2024. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XXI, 355 p. 131 illus., 113 illus. in color. |
Other physical details |
online resource. |
336 ## - |
-- |
text |
-- |
txt |
-- |
rdacontent |
337 ## - |
-- |
computer |
-- |
c |
-- |
rdamedia |
338 ## - |
-- |
online resource |
-- |
cr |
-- |
rdacarrier |
347 ## - |
-- |
text file |
-- |
PDF |
-- |
rda |
490 1# - SERIES STATEMENT |
Series statement |
Studies in Big Data, |
International Standard Serial Number |
2197-6511 ; |
Volume/sequential designation |
161 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction to Data Science in Agriculture and Natural Resource Management -- Defining Problems and Identifying Opportunities in Agriculture and Natural Resources -- Preprocessing of Agricultural and Natural Resource Data -- A Robust big data handling solution for RGB image data set by indoor UAV based phenotyping system -- Mapping Aboveground Biomass and Soil Organic Carbon Density in India- A geospatial-analytic framework for Integrating multi-year remote sensing, large field surveys, and machine learning -- Statistical Modeling in Agriculture: From Foundational Concepts to Modern Applications -- EasyIDP v2.0: An Intermediate Data Processing Package for Photogrammetry-Based Plant Phenotyping -- Deep Learning: A Catalyst for Sustainable Agriculture Transformation -- Deep Learning and Reinforcement Learning Methods for Advancing Sustainable Agricultural and Natural Resource Management -- A Review on AI and Remote Sensing-Based Regenerative Agriculture Assessment -- Model Evaluation and Selection: Ensuring Robust and Accurate Predictions of Crop Yields in Agriculture -- Evaluation of hybrid biodegradable sensor node for monitoring soil moisture -- Multi-modal AI for Ultra-precision Agriculture -- Future Perspectives: Emerging Technologies and Ethical Considerations in Data Science for Agriculture and Natural Resources. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2-zero hunger, 6-clean water and sanitation, 12-responsible consumption and production, 13-climate action, and 15-Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers. |
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Owner |
UABC ; |
Method of acquisition |
Perpetuidad |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Artificial intelligence |
Subdivisión general |
Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Sustainability. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Data Science. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Sustainability. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Raval, Mehul S. |
Relator term |
editor. |
-- |
(orcid)0000-0002-3895-1448 |
-- |
https://orcid.org/0000-0002-3895-1448 |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Chaudhary, Sanjay. |
Relator term |
editor. |
-- |
(orcid)0000-0001-9127-360X |
-- |
https://orcid.org/0000-0001-9127-360X |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Adinarayana, J. |
Relator term |
editor. |
-- |
(orcid)0000-0002-8753-9919 |
-- |
https://orcid.org/0000-0002-8753-9919 |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Guo, Wei. |
Relator term |
editor. |
-- |
(orcid)0000-0002-3017-5464 |
-- |
https://orcid.org/0000-0002-3017-5464 |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
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 |
9789819777617 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9789819777631 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9789819777648 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Studies in Big Data, |
-- |
2197-6511 ; |
Volume number/sequential designation |
161 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-7762-4 |
912 ## - |
-- |
ZDB-2-INR |
912 ## - |
-- |
ZDB-2-SXIT |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Libro Electrónico |