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010   $a3-032-02118-9
024 7 $a10.1007/978-3-032-02118-2
035   $a(CKB)44923482900041
035   $a(MiAaPQ)EBC32479084
035   $a(Au-PeEL)EBL32479084
035   $a(DE-He213)978-3-032-02118-2
035   $a(EXLCZ)9944923482900041
100   $a20260110d2025      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAgri-informatics and Eco-friendly Innovations for a Secure Food Future /$fedited by Suraj Kumar Singh, Shruti Kanga, Saurabh Kumar Gupta, Bhartendu Sajan, D. D. Sharma
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (517 pages)
225 1 $aSmart Agriculture,$x2731-3484 ;$v14
311 08$a3-032-02117-0 
327   $aAdvanced Remote Sensing Techniques for Cropland Monitoring using the AquaCrop Model -- Enhancing Phosphorus Sustainability in Mungbean via PROM and Microbial Inoculants -- Biparjoy Cyclone Assessment -- Crop Acreage and Yield Estimation Using Remote Sensing -- Multi Criteria Land Suitability Analysis for Agriculture in Jalpaiguri District West Bengal Using AHP and GIS Techniques.
330   $aFood security is a critical global challenge, aiming to provide sufficient and healthy food for all. The United Nations has set Sustainable Development Goals (SDGs) to achieve global prosperity while ensuring environmental protection. Machine learning (ML) techniques play a crucial role in understanding and predicting food security. Key applications include cropland mapping, crop type identification, yield prediction, and field delineation. Challenges include handling complex data and ensuring rigorous evaluation. Looking ahead, advanced techniques such as AI and interdisciplinary collaborations will drive progress toward a hunger-free and sustainable future. This book concentrates on the fundamentals and uses of environment science perspective on Food security using cutting-edge methods of spatial information and artificial intelligence. Experts and researchers in the fields of agriculture, environmental science and engineering, disaster management, remote sensing, and geographic information systems have contributed to this volume. .
410  0$aSmart Agriculture,$x2731-3484 ;$v14
606   $aEnvironmental geography
606   $aFood security
606   $aSustainability
606   $aAgriculture
606   $aPhysical geography
606   $aGeographic information systems
606   $aIntegrated Geography
606   $aFood Security
606   $aSustainability
606   $aAgriculture
606   $aPhysical Geography
606   $aGeographical Information System
615  0$aEnvironmental geography.
615  0$aFood security.
615  0$aSustainability.
615  0$aAgriculture.
615  0$aPhysical geography.
615  0$aGeographic information systems.
615 14$aIntegrated Geography.
615 24$aFood Security.
615 24$aSustainability.
615 24$aAgriculture.
615 24$aPhysical Geography.
615 24$aGeographical Information System.
676   $a910
700   $aSingh$b Suraj Kumar$01737513
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911054608503321
996   $aAgri-Informatics and Eco-friendly Innovations for a Secure Food Future$94529788
997   $aUNINA