Special Issue "Precision Agriculture Using Hyperspectral Images"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".

Deadline for manuscript submissions: 28 February 2022.

Special Issue Editors

Dr. Giovanni Avola
Website
Guest Editor
Institute of BioEconomy, National Research Council (CNR-IBE), Florence, Italy
Interests: precision agriculture; crop monitoring for nutrients, water stress, and disease; hyperspectral imaging in crop fields; crop production; crop physiology
Dr. Alessandro Matese
Website
Guest Editor
Institute of BioEconomy, National Research Council (CNR-IBE), Florence, Italy
Interests: precision agriculture; remote sensing; biogeochemistry; meteorology; crop production
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Precision agriculture can be defined as the application of real-time, reliable information to optimize the use of resources and the management of farming practices, minimizing environmental impacts. In this view, remote sensing represents an important part of a precision agriculture management system, with hyperspectral imaging as a powerful remote sensing tool. This topic has been intensively developed in the last 30 years, and the huge literature is a clear indication that it attracts great interest across different scientific communities (agronomy, Earth observation, natural science, etc.). The rapid evolution of technologies associated with hyperspectral imaging (electronics, information and communication technologies, data acquisition, data analysis) makes it difficult to get a clear and up-to-date picture of the novel opportunities that arise from hyperspectral data analysis in agriculture.

In the above scenario, we call for papers for publication in the Special Issue “Precision Agriculture Using Hyperspectral Images” on recent experimental research or cases studies with discussions on specific topics such as soil property and fertility sensing, crop yield estimation, crop stress detection, weed mapping, herbicide drift detection, statistical and computational methods for hyperspectral data analysis, insect/pest infestation identification using different sensors, and methodologies from ground, UAV, airborne, and satellite platforms.

Dr. Giovanni Avola
Dr. Alessandro Matese
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • hyperspectral sensors
  • soil property and fertility sensing
  • stress detection
  • crop monitoring for yield, nutrients, water stress, and disease
  • insect/pest infestation identification
  • statistical and computational methods for hyperspectral data analysis
  • ground, UAV, airborne, and satellite platforms

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

1. Title: Opportunities and benefits in remote monitoring of irrigated crops in semi-arid environments. A methodological framework for the application of a precision agriculture management system.

Authors: Federico Benjamín Galacho Jiménez; Pablo Quesada Molina; Francisco Javier Lima Cueto; Dario Gumiel Muñoz

Abstract: This paper reviews the role of remote sensing in remote monitoring and application of hyperspectral imaging for the diagnosis and management of irrigated crops in the context of precision agriculture management systems. Mediterranean semi-arid environments do not receive the necessary rainfall for such crops. It is necessary to optimize the use of resources and carry out an efficient management of agricultural practices. Front applied point of view, using imagery derived from small unmanned aerial systems (sUAS) and Sentinel Satellite, we will design a methodology to calculate and compare NDVI, NDRE, OSAVI and others indices from images of both platforms. To do this we will design a series of tools and thanks to the sequence of tools proposed raw data can be processed, with analyzed data crops maps will be created. Through a web app any farmer in the region could interpret qualitatively and identify possible problems on your farm. 

Keywords: irrigated crop monitoring; hyperspectral imaging; UAS and satellite platforms; remote sensing; imagery

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