Remote Sensing and Data Science for Crop-Livestock Systems
A special issue of AgriEngineering (ISSN 2624-7402). This special issue belongs to the section "Remote Sensing in Agriculture".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 17
Special Issue Editor
Interests: remote sensing technologies; spatial analysis and monitoring; data science and modeling; precision agriculture; crop–livestock systems; grasslands; sustainable agriculture
Special Issue Information
Dear Colleagues,
Crop–livestock systems are vital for global food security and sustainable agriculture. Monitoring and managing these complex systems, however, requires tools that can capture the spatial variability of crops and the dynamics of animals across different temporal scales. Remote sensing technologies—ranging from satellites and drones to ground-based sensors—offer powerful alternatives for observing vegetation development, soil conditions, and forage availability with high spatial and temporal resolution. Meanwhile, advances in machine learning, artificial intelligence, and big data analytics enable the transformation of these large, complex datasets into actionable knowledge.
This Special Issue, “Remote Sensing and Data Science for Crop–Livestock Systems”, explores the integration of remote sensing and data science approaches in advancing the understanding and management of crop–livestock systems. By bringing these fields together, this Special Issue aims to highlight research that develops innovative tools, methods, and frameworks for precision agriculture, resulting in the efficient use of resources and sustainability in crop–livestock systems. Topics of interest include the development of novel algorithms for vegetation monitoring and assessment, decision-support models, and integrative approaches that link crop production with livestock performance. Emphasis will be placed on applied solutions that not only advance science but also support decision-making for farmers, advisors, and policymakers in order to optimize productivity while reducing environmental impacts.
Dr. Julianne Oliveira
Guest Editor
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. 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 1600 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
- crop–livestock monitoring
- remote sensing
- precision agriculture
- UAV and satellite imagery
- hyperspectral, multispectral and RGB data
- LiDAR and SAR applications
- spatio-temporal dynamics
- data science
- machine learning
- deep learning
- big data
- decision-support systems
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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
