Remote Sensing of Soil Moisture and Properties for Agricultural Applications
A special issue of AgriEngineering (ISSN 2624-7402). This special issue belongs to the section "Remote Sensing in Agriculture".
Deadline for manuscript submissions: closed (1 April 2023) | Viewed by 8121
Special Issue Editors
Interests: soil-water-plant-atmosphere system; irrigation management; precision irrigation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We would like to invite you to contribute to a Special Issue in the MDPI journal AgriEngineering.
The title of the Special Issue will be “Remote Sensing of Soil Moisture and Properties for Agricultural Applications”.
The constant search for higher yields and lower production costs is an objective present in 21st century agriculture. Water is a key input to ensure agricultural production and increase productivity. Compared to other inputs, water is less expensive and more important for agriculture.
The water content in the soil must be known so that the farmer can make the best decisions. Soil properties such as texture, soil density, porosity, and infiltration capacity, among others, are also used for this purpose. However, these factors present spatial and temporal variability. Therefore, a more detailed monitoring of these factors is needed, where agricultural producers are resorting to technology.
In this context, one of the advances in this area has occurred with the increasing use of aerial and orbital images in agriculture. The images provide information that can be used to determine moisture and other soil characteristics. For this, the use of data science and machine learning techniques plays a prominent role in the process of transforming data into soil information.
The following are some of the topics proposed for this Special Issue (not an exhaustive list):
- Detection of physical-hydric characteristics of soil using remote sensing;
- Determination of soil moisture via crop evapotranspiration obtained by remote sensing;
- Remote sensing for soil mapping;
- Development of soil-related indices based on remote sensing data;
- Use of remote sensing to identify spatial and temporal variability of soil physical-hydric characteristics;
- Integration of remote sensing data and sensors installed on the ground;
- Monitoring of soil factors related to agricultural production.
We hope you will contribute your high-quality research, and we look forward to reading your valuable results.
Dr. Fernando França da Cunha
Dr. Job Teixeira de Oliveira
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. AgriEngineering is an international peer-reviewed open access quarterly 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 1600 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
- machine learning
- soil moisture
- evapotranspiration
- texture
- soil density
- porosity
- infiltration capacity
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