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Cutting-Edge Proximal and Remote Sensing Solutions for Precision Agriculture

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: 20 June 2026 | Viewed by 1324

Special Issue Editors


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Guest Editor
Departamento de Expresión Gráfica, Escuela de Ingenierías Industriales, Universidad de Extremadura, Badajoz, Spain
Interests: precision agriculture; probabilistic models; sensing; GIS
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
MED—Mediterranean Institute for Agriculture, Environment and Development and CHANGE—Global Change and Sustainability Institute, Universidade de Évora, Évora, Portugal
Interests: agricultural mechanization; precision agriculture; sensors; agro-silvo-pastoral systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Graphic Expression, Universidad de Extremadura, Badajoz, Spain
Interests: precision agriculture; probabilistic models; sensing; GIS

Special Issue Information

Dear Colleagues,

This Special Issue welcomes contributions that employ any innovative solution based on proximal or remote sensing aimed at being used in the site-specific management of any agroforestry system. Such approaches can, for instance, facilitate the delineation of homogeneous zones and encourage the adoption of precision agriculture strategies. Manuscripts may focus on applications in agricultural systems as well as in pastures and grasslands. Suitable topics include, but are not limited to, generation and refinement of targeted soil and/or plant information; data modelling and interpretation; applications of such information in various fields such as agriculture, forestry, natural resource management, and climate change mitigation; and the development of soil and/or plant information systems at multiple spatial scales.

Special emphasis will be placed on research that employs or develops innovative data integration methodologies, studies that make use of novel proximal or remote sensing datasets, and research that delivers practical outcomes for local stakeholders. This includes tools for GIS-based planning and decision support aimed at improving field management and sustainability.

Prof. Dr. Francisco Jesús Moral García
Prof. Dr. João Manuel Pereira Ramalho Serrano
Prof. Dr. Francisco Javier Rebollo Castillo
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 250 words) can be sent to the Editorial Office for assessment.

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. Sensors 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

  • proximal soil sensing
  • remote soil sensing
  • precision agriculture
  • digital mapping
  • agroforestry systems

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Published Papers (1 paper)

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Research

25 pages, 14015 KB  
Article
From Concept to Practice: Implementing a Knowledge-Driven Decision Support Platform for Sustainable Viticulture in Montenegro
by Tamara Racković, Kruna Ratković, Marko Simeunović, Nataša Kovač, Christoph Menz, Helder Fraga, Aureliano C. Malheiro, António Fernandes and João A. Santos
Sensors 2026, 26(9), 2843; https://doi.org/10.3390/s26092843 - 1 May 2026
Viewed by 980
Abstract
Viticulture is highly vulnerable to weather variability and climate change. Growers increasingly face risks associated with extreme weather events, water scarcity, and emerging pests and diseases. To address these challenges, this study presents the development and implementation of the first operational digital decision [...] Read more.
Viticulture is highly vulnerable to weather variability and climate change. Growers increasingly face risks associated with extreme weather events, water scarcity, and emerging pests and diseases. To address these challenges, this study presents the development and implementation of the first operational digital decision support platform (DSP) tailored to Montenegrin vineyards within the MONTEVITIS project. The platform integrates IoT sensor data, national meteorological records and high-resolution global climate datasets to provide real-time monitoring and climate projections for vineyard management. The system was piloted in four vineyards representing diverse microclimatic and soil conditions of Montenegro. Key functionalities include phenology, irrigation and disease alerts supported by a user-friendly dashboard, map-based visualisation tools and data export functions. The pilot deployment demonstrated that combining heterogeneous data streams increases the reliability of outputs and enables timely, site-specific recommendations. Challenges identified during implementation include connectivity limitations, gaps in data and variable levels of digital expertise among growers; however, lessons learned point to the importance of continuous stakeholder engagement and institutional support for sustained use. The MONTEVITIS experience demonstrates how digital agriculture tools can bridge tradition and innovation in viticulture. By fostering collaboration between growers, researchers and policy makers, the platform enables adaptive strategies for climate resilience and sustainable vineyard management. Although the platform has been successfully deployed and tested under pilot conditions, a comprehensive long-term validation of its performance and impact on vineyard decision-making remains part of ongoing future work. Full article
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