SmartAgriVision is a thematic workshop dedicated to advances in Computer Vision, Artificial Intelligence, Image Processing, Remote Sensing, and multimodal sensing technologies applied to agriculture, forestry, livestock production, and environmental monitoring.

The workshop will be held in conjunction with SIBGRAPI 2026 and will provide an interdisciplinary forum for researchers, students, professionals, and practitioners to present scientific results, discuss technological challenges, share datasets and tools, and establish new collaborations involving Visual Computing and Agricultural Sciences.

Agriculture, forestry, livestock production, and environmental monitoring increasingly rely on computational technologies to support more efficient, sustainable, and data-driven practices. Images and data acquired using satellites, unmanned aerial vehicles, smartphones, RGB-D cameras, LiDAR systems, multispectral sensors, and hyperspectral sensors provide valuable information for monitoring crops, forests, animals, soil, and natural resources.

Computer Vision and Artificial Intelligence enable the automatic analysis of these data for applications such as crop monitoring, plant phenotyping, pest and disease detection, weed identification, forest inventory, biomass estimation, yield prediction, animal monitoring, and environmental surveillance.

However, real-world agricultural environments present significant scientific and technological challenges. Illumination variations, occlusions, weather conditions, plant growth variability, seasonal changes, soil heterogeneity, sensor noise, and regional differences can reduce the robustness and generalization capacity of computational models.

SmartAgriVision aims to bring together researchers from Computer Science and Agricultural Sciences to discuss new methods, applications, datasets, systems, and open research problems related to Computer Vision and Artificial Intelligence for Smart Agriculture.

Paper submission: August 20, 2026 (August 13 2026)

Notification of acceptance: September 04, 2026 (August 26 2026)

Camera-ready deadline:  September 17, 2026

Workshop date:  September 29, 2026 (Tuesday)

SmartAgriVision 2026 invites submissions presenting original research, preliminary results, datasets, software systems, practical applications, and ongoing projects related to Computer Vision, Artificial Intelligence, Image Processing, Remote Sensing, and Visual Computing applied to agriculture, forestry, livestock production, and environmental monitoring.

We welcome contributions from researchers, graduate and undergraduate students, professionals, research laboratories, companies, and public institutions. Submissions may describe theoretical developments, computational methods, experimental studies, datasets, benchmarks, technological prototypes, field applications, or interdisciplinary experiences. Submissions are preferably written in English, although papers written in Portuguese are also welcome.

The workshop will follow standard SIBGRAPI procedures and formatting guidelines to ensure consistency with the main conference. 

CMT ACKNOWLEDGMENT

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Submission Guidelines

All manuscripts submitted to this workshop can be in English (prefereable) or Portuguese and undergo double-blind peer review. The LaTeX template is available here.

Please follow the included instructions and the formatting guidelines, avoiding any change to the format (in particular, avoiding space command or creating subsections or paragraph titles with any command different from subsection or paragraph). The references should be formatted accordingly. Please do not change the font size, even if it helps meet the page limit. The illustrations in the paper should be generated either as true vectors or rasterized at least 300 dpi.

Paper submission will be handled via the CMT system available on this link (https://cmt3.research.microsoft.com/SmartAgriVision2026).

The review process of all submissions will be double-blind. The authors’ identities will be tracked only by the submission system and visible only by the track chairs. The program committee members and reviewers will not know the identity of the authors of the papers they review. 

To ensure anonymity of authorship during the review process, authors must prepare their manuscript as follows:

• Authors’ names and affiliations must not appear on the title page or elsewhere in the paper. Instead, please include the number assigned to the paper by the online paper registration system under the title, for instance, by including the command inalfalse in your LaTeX source file.

• Research group members, colleagues, or collaborators must not be acknowledged anywhere in the paper.

• Funding sources must not be acknowledged anywhere in the submitted paper.

• It is strongly suggested that the submitted file be named with the assigned submission number. For example, if your assigned paper number is 39352, name your submitted file 39352.pdf.

• Source file naming must also be done with care. For example, if your name is Jane Smith and you submit a PDF file generated from a .dvi file called Jane-Smith.dvi, one can infer your authorship by looking into the PDF file.

• You must also use care when referring to related past work, particularly your own. For example, avoid mentions of your previous work as “In our previous work [1,2]…” and prefer third-person referencing as “In previous work [1,2]…”. Despite the anonymity requirements, you should still include all your relevant work in the references, using the above style (omitting them could potentially reveal your identity by negation).

• It is the responsibility of authors to do their best to preserve anonymity. Papers that do not follow the guidelines posted here or potentially reveal the identity of the authors are subject to immediate rejection. Having papers on arXiv is allowed per the conference dual submission policy.

Submission Categories

• Full Papers

Full papers should present original research, computational methods, experiments, systems, or practical applications. 

Recommended length: 8 pages.

• Short Papers

Short papers should present original research, computational methods, experiments, systems, or practical applications. 

Recommended length: 4 to 6 pages.

• Extended Abstracts

Extended abstracts may describe preliminary results, ongoing research, research ideas, pilot studies, or early-stage projects. 

Recommended length: 2 to 4 pages.

• Demo and System Papers

Demo and system papers should describe software tools, mobile applications, sensing platforms, field systems, prototypes, or decision-support solutions.

Recommended length: 2 to 4 pages.

• Dataset and Benchmark Papers

Dataset and benchmark papers should describe data collection procedures, annotation protocols, datasets, evaluation methodologies, or benchmarking initiatives.

Recommended length: 2 to 4 pages.

• Work-in-Progress Papers

Work-in-progress papers may present ongoing studies, initial findings, methodological proposals, or open problems that would benefit from discussion with the workshop community.

Recommended length: 2 to 4 pages.

Paper Presentation

The acceptance of a work implies that at least one of its authors will register with the full registration rate at the conference and pay the publication fee for that article. If more than one author registers for the conference, the choice of who will present is up to the paper’s authors. Such information will be asked later by the program chairs. Presentations must be in English or Portuguese. Videos or remote casts are not allowed.

No-show Policy

A paper submitted by authors who subsequently did not present it in person at the technical meeting despite having registered at the conference will be considered a no-show paper and removed from the workshop proceedings.

Code of Conduct for Authors in SBC Publications

By submitting papers to the SIBGRAPI 2026 Thematic Workshop, the authors acknowledge that they comply with the Code of Conduct for Authors in SBC Publications, which is available at: https://sol.sbc.org.br/index.php/indice/conduta

For inquiries, email us at: smartagrivision2026@googlegroups.com