02800nam1 22004573i 450 SBL034585720231121125821.019980706g19791980||||0itac50 baitaitz01i xxxe z01nBanca e industria in Italia1894-1906Antonio ConfalonieriBolognaIl Mulino1979-19803 v.19 cmUniversale paperbacks Il mulino94001CFI00000332001 Universale paperbacks Il mulino94001SBL03458582001 ˜1: Le œpremesse: dall'abolizione del corso forzoso alla caduta del Credito MobiliareAntonio Confalonieri1001SBL03458592001 ˜2: Il œsistema bancario tra due crisiAntonio Confalonieri2001SBL03476822001 ˜3: L'œesperienza della Banca Commerciale ItalianaAntonio Confalonieri3ItaliaEconomiaFIRRMLC016776IBanche e industriaItalia1894-1906FIRRMLC102982I330.945ECONOMIA DEI SINGOLI PAESI. ITALIA21Confalonieri, AntonioCFIV01772007083360ITIT-0119980706IT-RM028 IT-RM0289 IT-RM0418 IT-RM0251 IT-FR0084 IT-RM0460 IT-RM1164 IT-FR0098 IT-RM0574 Biblioteca Universitaria AlessandrinaRM028 Biblioteca Statale A. BaldiniRM0289 BIBLIOTECA ACCADEMIA NAZ. DEI LINCEI E CORSINIANARM0418 Biblioteca Della Soprintendenza Archivistica Per Il LazioRM0251 Biblioteca Del Monumento Nazionale Di MontecassinoFR0084 Biblioteca Dell' Archivio Centrale Dello StatoRM0460 Biblioteca Luca Pacioli Dipartimento RagioneriaRM1164 Biblioteca Area Giuridico EconomicaFR0098 Biblioteca del Consiglio nazionale dell'economia e del lavoroRM0574 SBL0345857Biblioteca Area Giuridico Economica 53CAM 330.9/2 53VM 0000006635 VM barcode:ECO000292. - Inventario:270. - Fondo:Sala consultazioneVMA 1995112420121204 53CAM 330.9/3 53VM 0000006625 VM barcode:ECO000293. - Inventario:1031. - Fondo:Sala consultazioneVMA 1995112420121204 53CAM 330.9/1 53VM 0000006615 VM barcode:ECO000291. - Inventario:136. - Fondo:Sala consultazioneVMA 19951124201212043 01 04 10 24 25 27 40 53 61Banca e industria in Italia1141448UNICAS05317nam 22006495 450 991101586590332120250702130324.03-031-93087-810.1007/978-3-031-93087-4(MiAaPQ)EBC32195986(Au-PeEL)EBL32195986(CKB)39578305800041(DE-He213)978-3-031-93087-4(EXLCZ)993957830580004120250702d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAI and Data Analytics in Precision Agriculture for Sustainable Development /edited by Sita Rani, Soumi Dutta, Álvaro Rocha, Korhan Cengiz1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (438 pages)Studies in Computational Intelligence,1860-9503 ;12153-031-93086-X Precision Agriculture for Sustainable Development: Concepts and Applications -- AI4AI: Revolutionizing Agriculture with Artificial Intelligence -- Evolving Role of Applied AI in Crop Farming -- Role of Artificial Intelligence in Precision Farming -- Precision Agriculture: Fuzzy Logic or Deep Neural Network Models for Robust Crop Disease Screening -- Machine Learning Models for Crop Management -- Enhancing Agricultural Climate Resilience through Machine Learning Models and Hyper-Parameter Tuning -- Enhancing Crop Resilience to Climate Change with AI -- AI-Based Smart Irrigation Systems for Water Conservation -- Sensor Technologies and Blockchain Integration for Data-Driven Precision Agriculture -- Satellite Imagery and GIS Applications in Precision Agriculture -- Leveraging GIS and Remote Sensing for Agricultural Advancement and Economic Development -- Projecting Ecological Footprint and Biocapacity: Insights into Sustainable Agriculture and Development -- Projecting Ecological Footprint and Biocapacity: Insights into Sustainable Agriculture and Development -- Evaluating Sentinel-2 and Sentinel-1 for Land Use / Land Cover Classification in a Rice-Producing Region of Uruguay -- Enhancing Potato Crop Health: A CNN-Based System for Early Detection of Early and Late Blight -- Development of a Neutrosophic Set Theory based Feature Selection method for Classification of Paddy Seed -- Optimizing Potato Crop Water Quality: A Comparative Analysis of Machine Learning Techniques and Gradient Boosting Approaches -- EFFECTS OF THE FREQUENCY EMISSIONS OF THE Tadarita brasiliensis SIMULATED USING ELECTRONIC DEVICE FOR REPELLING Copitarsia decolora (Lepidoptera: Noctuidae) ADULTS.This book offers a comprehensive analysis of artificial intelligence (AI) and data analytics in precision agriculture. The integration of technology in agriculture is revolutionizing traditional farming practices, paving the way for sustainability. Precision farming, powered by AI, IoT, and big data, optimizes resource use by enabling real-time monitoring of soil health, weather conditions, and crop growth. Automated irrigation systems and drones reduce water wastage and enhance productivity. Biotechnology advances, such as genetically modified crops and CRISPR gene editing, improve yield, pest resistance, and climate adaptability. Vertical farming and hydroponics offer space-efficient solutions, minimizing land degradation and water consumption. Robotics and autonomous machinery streamline labor-intensive tasks, reducing reliance on chemical inputs. Blockchain ensures transparency in the food supply chain, promoting fair trade and reducing food fraud. Renewable energy sources, like solar-powered farms, further lower agriculture’s carbon footprint. By adopting these innovations, farmers can produce more with fewer resources, ensuring food security while preserving the environment. Embracing technology-driven agriculture is crucial for meeting global food demands sustainably, combating climate change, and fostering economic resilience in farming communities. The future of agriculture lies in intelligent, data-driven, and eco-friendly solutions that balance productivity with environmental stewardship.Studies in Computational Intelligence,1860-9503 ;1215Computational intelligenceEngineeringData processingAgricultureArtificial intelligenceComputational IntelligenceData EngineeringAgricultureArtificial IntelligenceComputational intelligence.EngineeringData processing.Agriculture.Artificial intelligence.Computational Intelligence.Data Engineering.Agriculture.Artificial Intelligence.006.3Rani Sita1833407Dutta Soumi1365675Rocha Álvaro1077024Cengiz Korhan1359531MiAaPQMiAaPQMiAaPQBOOK9911015865903321AI and Data Analytics in Precision Agriculture for Sustainable Development4408328UNINA