Classification of Summer Crops Using Active Learning Techniques on Landsat Images in the Northwest of the Province of Bu

The present work aims to obtain a classifier for summer crops in the northwest of Buenos Aires province from Landsat satellite images. Active Learning (AL) was used as the classification technique since it obtains satisfactory results using a small set of

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Cloud Computing, Big Data & Emerging Topics 8th Conference, JCC-BD&ET 2020 La Plata, Argentina, September 8–10, 2020 Proceedings

Communications in Computer and Information Science Commenced Publication in 2007 Founding and Former Series Editors: Simone Diniz Junqueira Barbosa, Phoebe Chen, Alfredo Cuzzocrea, Xiaoyong Du, Orhun Kara, Ting Liu, Krishna M. Sivalingam, Dominik Ślęzak, Takashi Washio, Xiaokang Yang, and Junsong Yuan

Editorial Board Members Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Ashish Ghosh Indian Statistical Institute, Kolkata, India Igor Kotenko St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia Raquel Oliveira Prates Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil Lizhu Zhou Tsinghua University, Beijing, China

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More information about this series at http://www.springer.com/series/7899

Enzo Rucci Marcelo Naiouf Franco Chichizola Laura De Giusti (Eds.) •





Cloud Computing, Big Data & Emerging Topics 8th Conference, JCC-BD&ET 2020 La Plata, Argentina, September 8–10, 2020 Proceedings

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Editors Enzo Rucci III-LIDI, Facultad de Informatica Universidad Nacional de La Plata and CIC La Plata, Argentina

Marcelo Naiouf III-LIDI, Facultad de Informática Universidad Nacional de La Plata and CIC La Plata, Argentina

Franco Chichizola III-LIDI, Facultad de Informática Universidad Nacional de La Plata and CIC La Plata, Argentina

Laura De Giusti III-LIDI, Facultad de Informática Universidad Nacional de La Plata and CIC La Plata, Argentina

ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-3-030-61217-7 ISBN 978-3-030-61218-4 (eBook) https://doi.org/10.1007/978-3-030-61218-4 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer impri

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