MARC

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008 260401s2026 pau fob 001 0 eng d
024 8 |a 40033260286 
040 |a IGIGL  |b eng  |e rda  |c IGIGL  |d OCLCO  |d UKKRT  |d EBLCP  |d OCLCQ 
019 |a 1582194756 
020 |a 9798260007808  |q PDF 
020 |z 9798260007785  |q print 
035 |a (OCoLC)1583113819  |z (OCoLC)1582194756 
050 4 |a QC903  |b .A34 2026e 
082 0 4 |a 363.73874  |2 23 
245 0 0 |a AI for climate governance, agriculture, and earth systems /  |c Mehmet Ali Çelik, editor. 
246 3 |a Artificial intelligence for climate governance, agriculture, and earth systems 
264 1 |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :  |b IGI Global Scientific Publishing,  |c 2026. 
300 |a 1 online resource ( 15 PDFs 408 pages) : 
336 |a text  |2 rdacontent  |b txt 
337 |a electronic  |2 isbdmedia  |b c 
338 |a online resource  |2 rdacarrier  |b cr 
353 |a bibliography  |b bibl  |0 http://id.loc.gov/vocabulary/msupplcont/bibliography  |2 msupplcont 
353 |a index  |b ind  |0 http://id.loc.gov/vocabulary/msupplcont/index  |2 msupplcont 
504 |a Includes bibliographical references and index. 
505 0 |a Preface -- Chapter 1. From Climate Crisis to Data-Driven Governance: Artificial Intelligence and Remote Sensing in Climate Policy Support -- Chapter 2. AI-Enhanced Bibliometric Mapping of Climate Change and Social Justice Research in Africa (1990-2023) -- Chapter 3. Hybrid and Physics-Informed AI Models in Earth System Analysis -- Chapter 4. Uncertainty Analysis, Validation, and Benchmarking of AI Models in Earth Sciences -- Chapter 5. Deep Learning Architectures for Remote Sensing: CNN, RNN, LSTM, Transformers -- Chapter 6. Nanoenabled Artificial Intelligence for Sustainable and Digital Advancement in Precision Farming -- Chapter 7. AI Applications in Agricultural Monitoring, Crop Yield Estimation, and Food Security -- Chapter 8. A Framework for Robust and Interpretable Yield-Risk Classification Using Country-Year-Crop Data (X-AMLF) -- Chapter 9. Advanced Artificial Intelligence and Multi-Source Remote Sensing for Agricultural Monitoring and Forecasting -- Compilation of References -- About the Contributors -- Index. 
532 1 |3 IGI  |a "We are committed to continually improving our platform to meet WCAG standards" Document: https://igiprodst.blob.core.windows.net/public/igi-global-vpat-2.pdf. Source: https://www.igi-global.com/accessibility/. Last accessed April 22, 2025. 
588 |a Description based on title screen (IGI Global, viewed 04/01/2026). 
650 0 |a Climatic changes  |x Technological innovations. 
650 0 |a Climatic changes  |x Government policy. 
650 0 |a Artificial intelligence  |x Agricultural applications. 
650 6 |a Climat  |0 (CaQQLa)201-0021131  |x Changements  |0 (CaQQLa)201-0021131  |x Innovations.  |0 (CaQQLa)201-0379286 
650 6 |a Intelligence artificielle  |x Applications agricoles.  |0 (CaQQLa)201-0276653 
653 |a Agriculture Science & Technology. 
653 |a Artificial Intelligence (AI) 
653 |a Biodiversity. 
653 |a Climate Change. 
653 |a Climate Governance. 
653 |a Data Science. 
653 |a Earth Science. 
653 |a Environmental Policy & Reform. 
653 |a Environmental Science. 
653 |a Policymaking. 
653 |a Precision Agriculture. 
655 7 |a Electronic books.  |2 local 
700 1 |a Çelik, Mehmet Ali,  |e editor. 
710 2 |a IGI Global Online 
776 1 8 |i Print version:  |z 9798260007785 
856 4 0 |u http://proxy.library.tamu.edu/login?url=https://dx.doi.org/10.4018/979-8-2600-0778-5  |z Connect to the full text of this electronic book  |t 0 
945 |b 778899 
955 |a YBP purchased approval e-records 
980 |b ebook  |c 40033260286  |f NONFIC/B  |g 565751  |k USD  |m 205.00  |q 1  |s AcqMono Conventional  |t Approval plan  |u Vendor order reference number  |v ZYBP  |y E-approvals  |z Electronic resource 
999 f f |i 4a7f862d-7e8f-4c89-9c90-ddd037315139  |s 4a7804b9-8f5d-4530-8539-5b143e8747b7  |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 QC903 .A34 2026e  |h Library of Congress classification 
998 f f |a QC903 .A34 2026e  |t 0  |l Available Online