Sustainable Farming: New Agricultural Technology in Precision Agriculture
A special issue of AgriEngineering (ISSN 2624-7402). This special issue belongs to the section "Computer Applications and Artificial Intelligence in Agriculture".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 480
Special Issue Editors
Interests: precision agriculture; database; development systems
Special Issues, Collections and Topics in MDPI journals
Interests: soil science and plant nutrition; remote sensing and precision agriculture
Interests: plant breeding; soil; plant; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over recent decades, sustainable farming has increasingly relied on new agricultural technologies and precision agriculture to enhance efficiency and environmental responsibility. Advances in geospatial data, sensors, and computational tools have transformed how we monitor and manage soil, vegetation, and production systems, enabling more accurate decision-making and promoting sustainable agricultural practices.
From this perspective, this Special Issue, titled “Sustainable Farming: New Agricultural Technology in Precision Agriculture”, will bring together research contributions that explore the integration of technological, analytical, and environmental dimensions in modern farming. The articles selected for this Special Issue present advances in the acquisition, processing, and interpretation of spatial data, highlighting how geoinformation and computational models can improve the monitoring and management of productive areas.
The main themes include the following:
- The integration of multisource data for agricultural decision-making;
- The use of satellite and drone imagery, as well as sensor networks, for crop and soil analysis;
- Development of algorithms and models for spatial data interpretation;
- Digital platforms and software supporting the implementation of precision agriculture;
- Geospatial and temporal analysis applied to productivity and sustainability;
- Artificial intelligence, big data, and machine learning techniques applied to agricultural optimization.
This Special Issue will promote the exchange of knowledge among researchers and professionals focused on advancing sustainable farming through emerging agricultural technologies and precision agriculture. By emphasizing innovations that integrate environmental responsibility, technological development, and geospatial intelligence, the journal reinforces its mission to disseminate scientific contributions that support more efficient, resilient, and sustainable agricultural systems.
Prof. Dr. Kelyn Schenatto
Prof. Dr. Marlon Rodrigues
Prof. Dr. Glauco Vieira Miranda
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. AgriEngineering 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 1800 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
- sustainable farming
- precision agriculture
- remote sensing
- agricultural technology
- geospatial data
- smart agriculture
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