| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
in00005774713 |
| 005 |
20260327190319.4 |
| 006 |
m o d |
| 007 |
cr |n||||||||| |
| 008 |
250321s2025 ne a ob 001 0 eng d |
| 040 |
|
|
|a YDX
|b eng
|e rda
|c YDX
|d OPELS
|d OCLCO
|d UKMGB
|d VGM
|d UKAHL
|d EBLCP
|d EMU
|d MYG
|d Z@L
|d N$T
|
| 015 |
|
|
|a GBC502187
|2 bnb
|
| 016 |
7 |
|
|a 300478135
|2 Uk
|
| 019 |
|
|
|a 1511110279
|
| 020 |
|
|
|a 9780443298806
|q (electronic bk.)
|
| 020 |
|
|
|a 0443298807
|q (electronic bk.)
|
| 020 |
|
|
|z 9780443298790
|
| 020 |
|
|
|z 0443298793
|
| 024 |
8 |
|
|a CIPO000187155
|
| 035 |
|
|
|a (OCoLC)1510196471
|z (OCoLC)1511110279
|
| 050 |
|
4 |
|a S592.13
|
| 082 |
0 |
4 |
|a 631.40285/63
|2 23/eng/20250408
|
| 049 |
|
|
|a TXAM
|
| 245 |
0 |
0 |
|a Unlocking the secrets of soil :
|b applying AI and sensor technologies for sustainable land use /
|c edited by David C. Weindorf, Somsubhra Chakraborty, Bin Li.
|
| 264 |
|
1 |
|a Amsterdam :
|b Elsevier,
|c [2025]
|
| 300 |
|
|
|a 1 online resource
|b color illustrations
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 504 |
|
|
|a includes bibliographical references and index.
|
| 505 |
0 |
|
|a Chapter 1. Introduction -- Chapter 2. Fundamentals of soil characterization -- Chapter 3. Sensor-based soil characterization techniques -- Chapter 4. Machine learning and AI techniques -- Chapter 5. Applications of machine learning and artificial intelligence in soil science -- Chapter 6. Image acquisition and processing techniques -- Chapter 7. Sensing and geotechnologies for soil characterization -- Chapter 8. Applications of soil sensors -- Chapter 9. Conclusion and future directions -- Index.
|
| 520 |
|
|
|a A comprehensive guide to the latest advances in soil characterization. This book explores the role of sensors and artificial intelligence in improving soil management practices and supporting sustainable land use. Through detailed descriptions of sensor and AI-based techniques for measuring physical, chemical, and biological soil properties, readers will gain a deep understanding of the tools and technologies available for soil characterization. The book also covers the latest machine learning algorithms and image processing for analyzing soil data and making informed decisions about land use. This book is an essential resource for researchers, practitioners, and students interested in the intersection of AI and sensor technologies for soil management and sustainability.
|
| 650 |
|
0 |
|a Soil science
|x Data processing.
|
| 650 |
|
0 |
|a Artificial intelligence
|x Agricultural applications.
|
| 650 |
|
6 |
|a Pédologie
|x Informatique.
|
| 650 |
|
6 |
|a Intelligence artificielle
|x Applications agricoles.
|
| 655 |
|
7 |
|a Electronic books.
|2 local
|
| 700 |
1 |
|
|a Weindorf, David C.
|q (David Christian),
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjt3CPcgyddtTDp8FHCjkC
|
| 700 |
1 |
|
|a Chakraborty, Somsubhra,
|d 1984-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjyr6rKxhmC9FRWbgbvyV3
|1 https://isni.org/isni/0000000399488327
|
| 700 |
1 |
|
|a Li, Bin
|c (Professor of statistics),
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjM7yGth4BDV6fxW38mBdP
|
| 710 |
2 |
|
|a ScienceDirect (Online service)
|
| 776 |
0 |
8 |
|i Print version:
|z 0443298793
|z 9780443298790
|w (OCoLC)1449548438
|
| 776 |
0 |
8 |
|i Print version:
|a Weindorf, David C.
|t Unlocking the Secrets of Soil
|d Chantilly : Elsevier,c2025
|z 9780443298790
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://www.sciencedirect.com/science/book/9780443298790
|z Connect to the full text of this electronic book
|t 0
|
| 955 |
|
|
|a Elsevier ScienceDirect 2026-2027
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
f |
|i 947a0f3b-b6dc-4dde-b88d-f1caaa706630
|s 2373235f-bb3e-4032-8eb9-d0bc970161cd
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e S592.13
|h Library of Congress classification
|
| 998 |
f |
f |
|a S592.13
|t 0
|l Available Online
|