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The Application of AI, Big Data and Remote Sensors in Sustainable Agricultural Irrigation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Social Ecology and Sustainability".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 1022

Special Issue Editors

Department of Agronomy, University of Córdoba, Campus de Rabanales, 14071 Córdoba, Spain
Interests: irrigation engineering; agricultural water management; big data; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Department of Agronomy, University of Córdoba, 14071 Córdoba, Spain
Interests: hydraulics; irrigation engineering; agricultural water management; water–energy nexus
Special Issues, Collections and Topics in MDPI journals
Vegetal Production and Agrarian Technology, University of Castilla-La Mancha, Campus Universitario s/n, 02071 Albacete, Spain
Interests: irrigation engineering; energy efficiency; agricultural water management; high-resolution remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Irrigated agriculture will face important challenges in the coming decades; in the context of climate change, having to feed a growing population with less soil and water resources is one such challenge. The evolution of the irrigation systems into pressurized ones makes energy another key resource for the irrigation sector that represents a growing percentage of the total water costs and increases the carbon footprint of the irrigation activity. Additionally, the new water distribution systems for irrigation have been organized according to demand (water is continuously available to farmers) adding an extra degree of uncertainty to their management.

In this situation, irrigation is becoming an activity of precision in which the Artificial Intelligence (AI) techniques and Big Data analysis, both at the scale of the water distribution network and the farm, as well as other aspects realted to new management strategies such as remote sensors, unmanned aerial vehicles (UAV) and new technologies, are generally becoming more relevant every day. A better control of the irrigation process as well as a better and more intelligent management of pressurized irrigation networks are essential in order to convert irrigation into a precision activity where the efficiency of the use of the involved resources is maximized. These facts highlight the need to improve efficiency in terms of the water–energy nexus, that is essential for the economic, social and environmental development of the irrigation sector.

This Special Issue aims to provide a forum for discussion where researchers are invited to submit their novel approaches in modeling and management techniques based on AI, BigData and remote sensors for irrigation systems.

Dr. Rafael Gonzalez Perea
Prof. Dr. Juan Antonio Rodríguez Díaz
Prof. Dr. Miguel Ángel Moreno Hidalgo
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 submissions that pass pre-check are 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. Sustainability 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 2400 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

  • artificial intelligence
  • big data
  • sensors
  • agricultural water management
  • optimization
  • irrigation engineering

Published Papers

There is no accepted submissions to this special issue at this moment.
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