Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. Manuscripts submitted to Agricultural Systems generally should include both of the following:substantive natural science content (especially farm- or landscape-level biology or ecology, sometimes combined with social sciences), and substantive analysis and discussion of the interactions within or among agricultural systems components and other systems.Preference is given to manuscripts that address whole-farm and landscape level issues, via integration of conceptual, empirical and dynamic modelling approaches.The scope includes the development and application of systems analysis methodologies (diagnosis, simulation and mathematical modelling, participatory modelling, multi-criteria assessment, trade-off analysis, participatory design, etc.) in the following areas:agroecology and the sustainable intensification of agriculture as well as transition pathways for sustainable intensification; decision-making and resource allocation in agricultural systems; the interactions between agricultural and non-agricultural landscapes; the multiple services provided by agricultural systems from food security to environmental services; adaptation and transformation of agricultural systems in the era of global change; development and application of tools and methods for agricultural systems design, assessment and management; innovation systems and multi-stakeholder arrangements that support or promote change and/or informs policy decisions; and big data and the digitalisation of agriculture and their effects on agriculture.The following subjects are discouraged:econometric, descriptive or other statistical analyses that exclude systems considerations, landscapes, land use change studies, or other economic analyses without substantive natural science content; development of typologies unless the typology developed forms the basis for further systems analysis; results from crop or livestock trials unless from systems trials or the results address systems issues; studies focusing on social or political outcomes that lack a clear systems framework and direct application to agricultural systems (i.e. the farm production system or landscape, their activities or components, their interactions or synergies); conceptual frameworks without empirical implementation (unless submitted as a short communication); studies focusing on specific chemical constituents of plant or animal species or their products; studies of the operation or efficiency of agricultural or food processing machinery, or of agricultural supply chains without a substantive biological component; life cycle analysis (LCA) studies that are primarily descriptive unless LCA is combined with other types of methods that address interactions within agricultural systems or between those systems and their environment.Such subjects are not considered for publication unless they clearly provide substantive and highly generalizable new insights regarding processes operating at farm or landscape levels or describe novel analytical methods applicable to a wide variety of agricultural systems.
Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in the understanding and management of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems. Papers may report the results of experiments, modelling, theoretical analyses, data driven findings, design of, or innovations relating to, machines and mechanisation systems, processes or processing methods, equipment and buildings, experimental equipment, laboratory and analytical techniques and instrumentation. Submissions should (1) involve new engineering science insights, including novel characteristics that can advance the specific scientific field; (2) present existing similar work in its field and discuss the advance over the state of the art offered, and (3) illustrate the knowledge gap that the work seeks to fill. The novelty aspect is of crucial importance for our Journal, and it is also linked with our focus on Science4Impact. Please see 3.3. for more information.Biosystems Engineering does NOT wish to publish:research that does not include sufficient novelty and engineering insights that could provide advances in the specific scientific field;findings obtained under conditions which are not sufficiently representative of practice, making the usefulness of the results and conclusions not well demonstrated;application of Artificial Intelligence (AI) and Machine Learning (ML) or Deep Learning (DL) techniques, without operational implementation and/or analysis of their impact on the specific biological application under investigation;results from non-validated models, primarily based on assumptions;work where the novelty is centred on property testing of products being processed using standard techniques;calibration and verification results using well-known approaches for a specific application.
