Applications of Remote Sensing in Agricultural Water Management Volume II

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".

Deadline for manuscript submissions: closed (1 March 2023) | Viewed by 7230

Special Issue Editor

Manna Irrigation, Gvat, Israel
Interests: geography; remote sensing; agro-meteorology; presicion agriculture
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue calls for studies on remote sensing applications in crop irrigation and estimating the crop evapotranspiration and the corresponding site-specific irrigation (or variable rate irrigation, VRI). Manuscripts on remotely mapping soil moisture or the alternative, crop water stress, are also welcome. We also welcome papers presenting how to split and divide a crop field into dynamic management zones, with a focus on the changes during the irrigation season. We will consider critical reviews of agriculture applications of models such as the SEBAL, METRIC, ALEXI, and others as well as papers on the remote sensing applications relating to water use-efficiency and soil salinity. Contributions from the disciplines of aquatic agriculture, water quality, and remotely productivity estimations will also be considered.

Remote sensing platforms are no longer only satellite- or airborne-based, but also include drones, towers, robots, and any other platforms that can map entire agriculture fields. Further, we encourage studies representing applications integrating different sensors or platforms, or applications utilizing historical images to deliver updated information (for example, for cloudy pixels), and even to forecast the near future.

The results should be presented in tables and high-quality maps, but interactive material will also be considered. Please avoid very long papers and prioritize the original outputs.

Dr. Ofer Beeri
Guest Editor

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. Water 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 2600 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

  • irrigation scheduling
  • crop evapotranspiration (ETc)
  • remotely soil moisture
  • remotely water stress
  • the crop water stress index (CWSI)
  • water use efficiency (WUE)
  • dynamic management zones

Published Papers (1 paper)

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Research

12 pages, 2589 KiB  
Article
Evaluating the Use of Intelligent Irrigation Systems Based on the IoT in Grain Corn Irrigation
by Hooman Sharifnasab, Ali Mahrokh, Hossein Dehghanisanij, Ewa Łazuka, Grzegorz Łagód and Hamed Karami
Water 2023, 15(7), 1394; https://doi.org/10.3390/w15071394 - 4 Apr 2023
Cited by 9 | Viewed by 6978
Abstract
This study was conducted to evaluate the management of smart irrigation in grain maize production (KSC 715 cultivar) at the Seed and Plant Improvement Institute (SPII) located in Karaj, Iran, in the year 2020. Irrigation was performed based on 40% moisture discharge farm [...] Read more.
This study was conducted to evaluate the management of smart irrigation in grain maize production (KSC 715 cultivar) at the Seed and Plant Improvement Institute (SPII) located in Karaj, Iran, in the year 2020. Irrigation was performed based on 40% moisture discharge farm capacity and was compared with irrigation based on long-term meteorological statistics that have become common in the field (drip irrigation system, type strip, and determining the irrigation time based on the apparent reaction of the plant). The experimental results showed that under the conditions of smart irrigation management, sensitive phenological stages of the plant occur earlier, and the field is ready to be harvested approximately one month earlier; moreover, 35% of irrigation water consumption can be saved. Water consumption decreased from 8839.5 to 5675.67 m3/ha; in addition, grain yield and water productivity decreased. Although the moisture stress applied in the intelligent irrigation system completed the plant phenology period faster and due to earlier harvest, irrigation water consumption was decreased by 35%, water productivity was reduced. Finally, it seems that by adjusting the drought stress application time in more tolerant stages of maize growth in future studies and experiments, it will be possible to decrease irrigation water consumption while increasing the physical productivity of water. Full article
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