A series of scenarios were assessed by simulating various weed decision thresholds (WDT) and different weed detection and herbicide application resolutions. Variable responses were obtained depending on the spatial distribution pattern of the weed. In the case of a patchy distributed species (Sorghum halepense), errors in spraying decision increased as the resolution increased and the WDT decreased. In contrast, in a uniformly distributed species (Abutilon theophrasti) errors in spraying decision increased when both the resolution and the WDT increased. Weed decision threshold was essential in determining the suitability of patch spraying. Consequently, site-specific control would depend primarily on our ability to detect low weed densities. ; This research was funded by the European Union (Seventh Framework Programme, Project no. 245986: Automation and robotics for sustainable crop and forestry management). ; Peer reviewed
Farming systems (FS) operate in biophysical, political, social, economic and cultural environments which are often far from stable. Frequently or unfavourably changing conditions can affect FS performance, i.e., the delivery of FS functions (such as food production or ecosystem services). The aim of this report is to identify principles for an enabling environment to foster (rather than hinder) resilient farming systems in Europe. Fostering FS resilience is done through (re)designing institutions and building and mobilising resources in order to enhance resilience enabling attributes of FS (and remove resilience constraining attributes). These institutions can be both part of the FS and part of an enabling environment, consisting of private actors (such as food processors, retailers, banks, etc.) and public actors (government agencies). Six general principles underpinning patterns that enable FS resilience have been formulated. An important challenge is that FS and enabling environments should always find a good balance between addressing challenges in the short run and dealing with challenges in the long run. ; en; EU; contact: erik.mathijs@ees.kuleuven.be
Farming systems (FS) operate in biophysical, political, social, economic and cultural environments which are often far from stable. Frequently or unfavourably changing conditions can affect FS performance, i.e., the delivery of FS functions (such as food production or ecosystem services). The aim of task 6.1 is to identify principles for an enabling environment to foster (rather than hinder) resilient farming systems in Europe. Task 6.2 will translate these principles into roadmaps that will contain recommendations for both public and private actors and institutions in the enable environment on how to support farming system resilience. A farming system is a system hierarchy level above the farm at which properties emerge resulting from formal and informal interactions and interrelations among farms and non-farm actors to the extent that these mutually influence each other. The environment can then be defined as the context of a farming system on which farming system actors have no or little influence. Hence, actors belonging to the environment may be food processors, retailers, financial institutions, technology providers, consumers, policy makers, etc. Fostering FS resilience is done through (re)designing institutions and building and mobilising resources in order to enhance resilience enabling attributes of FS (and remove resilience constraining attributes). These institutions can be both part of the FS and part of an enabling environment, consisting of private actors (such as food processors, retailers, banks, etc.) and public actors (government agencies). Four archetypical patterns according to which challenges are insufficiently addressed to foster FS resilience have been identified. Six general principles underpinning patterns that enable FS resilience have been formulated. An important challenge is that FS and enabling environments should always find a good balance between addressing challenges in the short run and dealing with challenges in the long run.
Farming systems (FS) operate in biophysical, political, social, economic, and cultural environments which are often far from stable. Frequently or unfavorably changing conditions can affect FS performance, i.e., the delivery of FS functions. We defined 6 principles for an enabling environment to foster resilience of farming systems in Europe. This principles are translated into 10 case study specific roadmaps that contain recommendations for both publica and private actors and institutions in the farming systema and the enabling environment on how to support farming system resilience. ; en; EU; contact: erwin.wauters@ilvo.vlaanderen.be
The SURE-Farm project aims to analyse, assess and improve the resilience and sustainability of farming systems in Europe. Farming systems face a whole range of social, ecological, economic and political disturbances and changes, such as sharp market fluctuations, severe weather events, climate change, new technologies, changes in consumer preferences and in governance structures and so forth, operating at a range of scales (local, regional, national and global). Some stresses on the farm system can be predicted (e.g. retirement of farmers), while other shocks are more uncertain and unpredictable (e.g. flooding, sudden price drop, illness). Project's WP2 aims to comprehensively understand farmers' risk behaviour and risk management (RM) decisions, and to develop and test RM strategies and decision support tools that farmers can use to cope with increasing economic, environmental and social uncertainties and risks. WP2 contributes to the development of RM in EU farming systems by understanding and eliciting farmers' risk perceptions and preferences; learning about farmers' adaptive behaviour; learning capacity and preferred improvements of current RM tools; designing and analysing improved strategies to deal with extreme weather; and co-creating improved RM tools and map-related institutional challenges.
