Agricultural Monitoring and Yield Assessment Through Remote Sensing and GIS

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".

Deadline for manuscript submissions: 10 November 2026

Special Issue Editors


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Guest Editor
Department of Geomatics, Institute of Soil Science and Plant Cultivation—State Research Institute (IUNG-PIB), Czartoryskich 8, 24-100 Pulawy, Poland
Interests: remote sensing; agricultural drought monitoring; GIS; soil moisture; digital soil mapping

E-Mail Website
Guest Editor
Department of Geomatics, Institute of Soil Science and Plant Cultivation—State Research Institute (IUNG-PIB), Czartoryskich 8, 24-100 Pulawy, Poland
Interests: remote sensing; agricultural drought monitoring; GIS; soil moisture; digital soil mapping
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Special Issue Information

Dear Colleagues,

Agricultural monitoring and yield assessment through remote sensing and GIS provide the basis for digital farming. Modern remote sensing provides information about the condition of crops and soil via analysis of satellite, aerial, drone and ground sensor data. Vegetation indices such as NDVI can be used to estimate crop condition, development stage, and indications of plant stress caused by drought, disease or nutrient deficiencies. Geographic information systems (GIS) enable the integration and analysis of remote sensing data with other spatial information, such as soil, meteorological and agronomical data. Today, Remote sensing and GIS provide essential tools for agricultural decision-making. Thanks to these technologies, we can accurately monitor crop health and condition and forecast yields, increasing farm efficiency.

This Special Issue seeks to spotlight the latest scientific research on the use of remote sensing to monitor agricultural space at various scales—from individual fields to large-scale regions and even at the national level. Therefore, we assume the possibility of using remote sensing with various spatial and temporal resolutions in the presented research. The results should focus on a detailed description of the used/developed models (deterministic, stochastic, or AI) and the possibilities of their broader implementation in the process of monitoring vegetation and estimating yields.

We look forward to receiving a variety of works, such as original research papers and reviews.

Dr. Anna Jedrejek
Dr. Rafał Pudełko
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. Agronomy is an international peer-reviewed open access monthly 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

  • RS monitoring
  • satellite imagery analysis
  • spatial analysis
  • vegetation indices
  • agricultural drought
  • GIS
  • land use change

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Published Papers

This special issue is now open for submission.
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