sustainable agriculture; crop sciences; agricultural economics; diversified farming systems; climate-smart agriculture; imaging technology; agent-based modeling
Finger Robert, Swinton Scott M., El Benni Nadja, Walter Achim (2019), Precision Farming at the Nexus of Agricultural Production and the Environment, in Annual Review of Resource Economics
, 11(1), 313-335.
Drought-2018 ecosystem eddy covariance flux product in FLUXNET-Archive format - release 2019-1
||Drought 2018 Team,
|Persistent Identifier (PID)
ICOS Carbon Portal
This is the first public release of the observational data product for eddy covariance fluxes at 30 stations in the ecosystem domain from the Drought-2018 team, covering the period 1989-2018.
Agriculture needs to produce food while at the same time reducing environmental impacts and supporting the provision of ecosystem services. Approaches to tackle this challenge also need to be societal and political acceptable in order to promote a sustainable agri-food sector. Innovative farming practices such as precision agriculture, use of spatially explicit data, climate-smart agriculture and new emerging technologies such as unmanned aerial vehicles are seen as key drivers to increase agricultural production, improve farmer’s incomes and reduce environmental impacts. However, the adoption and diffusion of these technologies in small-scale Swiss farming systems is constrained by high investment costs and low efficiency due to structural and environmental characteristics. Our proposed project aims to contribute to an increase of resource efficiency, economic viability and to strengthen cohesion of diversified farming systems in Swiss agriculture by introducing innovative farming practices, new management and network systems as well as innovative policies. The main goal is to investigate how innovative farming practices, new technologies and data can be aligned with new forms of networks to allow for a sustainable development of small-scale, diverse Swiss agricultural farming systems.Only the integration of technology, diversity, networking and institutions, i.e. markets and policies, enables us to transform new technologies into an era of smart farming. Our project thus integrates new knowledge on the environmental outcomes of agricultural production through spatially explicit airborne and ground level measurements and agent-based modeling of technology adoption. Moreover, the transdisciplinary focus of our project characterized by an integration of various stakeholders ensures that the results of our project are applicable for industry, extension services and policy makers. Thus, the interdisciplinary understanding of processes of adoption and diffusion of innovative farming practices allows depicting clear entry points for technological developments and modernization of the agricultural sector and supports the implementation of innovative management and policy options. The integrated assessment of economic, environmental and societal impacts of innovative farm practices adoption addressed in this project fosters the contribution of the agricultural sector towards a sustainable economy.