Systematic mapping study on remote sensing in agriculture

José Alberto García-Berná, Sofia Ouhbi, Brahim Benmouna, Ginés García-Mateos, José Luis Fernández-Alemán, José Miguel Molina-Martínez

Research output: Contribution to journalReview articlepeer-review

15 Citations (Scopus)

Abstract

The area of remote sensing techniques in agriculture has reached a significant degree of development and maturity, with numerous journals, conferences, and organizations specialized in it. Moreover, many review papers are available in the literature. The present work describes a literature review that adopts the form of a systematic mapping study, following a formal methodology. Eight mapping questions were defined, analyzing the main types of research, techniques, platforms, topics, and spectral information. A predefined search string was applied in the Scopus database, obtaining 1590 candidate papers. Afterwards, the most relevant 106 papers were selected, considering those with more than six citations per year. These are analyzed in more detail, answering the mapping questions for each paper. In this way, the current trends and new opportunities are discovered. As a result, increasing interest in the area has been observed since 2000; the most frequently addressed problems are those related to parameter estimation, growth vigor, and water usage, using classification techniques, that are mostly applied on RGB and hyperspectral images, captured from drones and satellites. A general recommendation that emerges from this study is to build on existing resources, such as agricultural image datasets, public satellite imagery, and deep learning toolkits.

Original languageEnglish
Article number3456
JournalApplied Sciences (Switzerland)
Volume10
Issue number10
DOIs
Publication statusPublished - May 1 2020

Keywords

  • Agriculture
  • Applications
  • Remote images
  • Systematic mapping study

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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