Simulation Environments and Image Synthesis for Precision Agriculture: Advancing Data Quality, Accessibility, and Agricultural Innovation
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: 1 February 2025 | Viewed by 165
Special Issue Editors
2. Institute for Systems and Computer Engineering, Technology (INESC TEC), Faculty of Engineering, University of Porto (FCUP), Rua Dr. Roberto Frias, 42, Porto, Portugal
Interests: precision agriculture; precision viticulture; remote sensing; proximal crop sensors plant phenotyping; crop modelling; climate change; abiotic and biotic stresses
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning on imagery in precision agriculture; deep learning; semantic segmentation; precision agriculture
Special Issue Information
Dear Colleagues,
Precision agriculture faces issues with data scarcity, quality, and diversity, and the reliance on real-world agricultural data has been limited by high costs and time-consuming collection processes. One potential solution is synthetic data generation, which uses generative models and simulation environments. These technologies enable the production of diverse, high-quality datasets, which are essential for developing reliable machine learning models.
The goal of this Special Issue is to investigate novel approaches for the creation of synthetic data, with a focus on the application of simulation environments and generative models such as GANs and VAEs. The scope of this Special Issue includes applications in various aspects of precision agriculture, such as crop and weed management, as well as soil and water management.
This Special Issue will highlight innovative studies on the creation of synthetic data, such as methods for combining actual and synthetic data, producing realistic agricultural datasets, and assessing the effects of synthetic data-driven activities on the environment and the economy.
We are looking for original research articles, case studies, technical notes, and reviews that discuss new approaches, uses, and consequences of creating and using synthetic data in precision agriculture.
Prof. Dr. Mario Cunha
Guest Editor
Dr. Mulham Fawakherji
Guest Editor Assistant
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
- synthetic data
- generative models
- VAEs
- simulation environments
- crop management
- soil management
- water management
- remote sensing
- machine learning
- data augmentation
- data quality
- data accessibility
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
