Enhancing Crop Productivity and Mitigating Environmental Footprints in Sustainable Agriculture
A Special Issue of Agronomy (ISSN 2073-4395) belonging to the section "Farming Sustainability".
Deadline for manuscript submissions: closed (31 August 2026) | Viewed by 2216
Editors
2. Department of Plant Sciences, Albert Kázmér Faculty of Agricultural and Food Sciences in Mosonmagyaróvár, Széchenyi István University, 9200 Mosonmagyaróvár, Hungary
Interests: agriculture; sustainability; greenhouse gas emissions
Interests: soil erosion; land-use change; ecosystem services; landscape conservation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Modern agriculture faces the dual challenge of increasing crop productivity while reducing its environmental footprint. Although yield-oriented intensification has significantly improved food security, it has often been accompanied by increased greenhouse gas emissions, nutrient losses, soil degradation and declining ecosystem services. In response, sustainable agriculture has evolved toward integrated, data-driven approaches that combine agronomic knowledge with digital technologies, precision management and nature-based solutions. This Special Issue aims to provide a focused platform for research that demonstrably enhances crop productivity while mitigating environmental impacts under real farming conditions. The scope encompasses field-validated, scalable and quantitatively evaluated approaches that link yield performance with sustainability indicators, including carbon footprint, CO2-emission intensity, nutrient use efficiency and resource optimization. Cutting-edge research featured in this Special Issue includes precision and digital agriculture tools, remote and proximal sensing, biologically enhanced inputs, data-driven modelling and adaptive management strategies addressing climate variability and extreme events. Particular emphasis is placed on studies that move beyond proof-of-concept and provide robust empirical evidence across sites, seasons or management systems. We invite original research articles, systematic reviews, meta-analyses and methodological contributions that integrate agronomic and environmental metrics through rigorous experimental design and transparent validation. Purely descriptive studies or submissions lacking a quantitative assessment of productivity and environmental performance are discouraged.
Dr. István Mihály Kulmány
Dr. Csaba Centeri
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-anonymized 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 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
- sustainable agriculture
- crop productivity
- environmental footprint
- precision agriculture
- climate-smart farming
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