As echoed in the European Green Deal and Farm to Fork strategy, the EU agricultural policy has clear objectives of improving the sustainability (environmental, economic and social) of farm productions. The environmental goals are supported by promotion of organic farming and the responsible management of inputs such as fertilisers and pesticides. In this framework, there is a need is to provide farmers with tools to evaluate the best options for reducing environmental impact and measure performances in improving the sustainability of their productions. This paper in-troduces MIMERA, a GIS easy-to-use tool for the sustainable use of pesticides at farm level. MIMERA was developed in the framework of the Train-Agro project funded by the Lombardia Region (Italy), in the framework of the European Agricultural Fund for Rural Development Programme (EAFRD). The main goal is to help professional pesticide users to identify the best pest management strategies by comparing the environmental risk of authorized commercial formu-lations of pesticides, identifying parcel most at risk within the farm boundaries and suggesting the most appropriate risk mitigation measures for the prevention of surface water contamination. Finally, MIMERA offers the opportunity to track the risk trend of the selected pest management strategies utilized during years. The proposed methodology and structure of MIMERA are described along with underlying data and algorithms are described. An example of its application by considering different pest management strategies adopted by farmers in an area characterized by the intensive presence of maize crop in Lombardia Region is presented.

Di Guardo, A., Capri, E., Calliera, M., Finizio, A., MIMERA: An online tool for the sustainable pesticide use at field scale, <<SCIENCE OF THE TOTAL ENVIRONMENT>>, 2022; 2022 (846): N/A-N/A. [doi:10.1016/j.scitotenv.2022.157285] [https://hdl.handle.net/10807/234125]

MIMERA: An online tool for the sustainable pesticide use at field scale

Capri, Ettore
;
Calliera, Maura;
2022

Abstract

As echoed in the European Green Deal and Farm to Fork strategy, the EU agricultural policy has clear objectives of improving the sustainability (environmental, economic and social) of farm productions. The environmental goals are supported by promotion of organic farming and the responsible management of inputs such as fertilisers and pesticides. In this framework, there is a need is to provide farmers with tools to evaluate the best options for reducing environmental impact and measure performances in improving the sustainability of their productions. This paper in-troduces MIMERA, a GIS easy-to-use tool for the sustainable use of pesticides at farm level. MIMERA was developed in the framework of the Train-Agro project funded by the Lombardia Region (Italy), in the framework of the European Agricultural Fund for Rural Development Programme (EAFRD). The main goal is to help professional pesticide users to identify the best pest management strategies by comparing the environmental risk of authorized commercial formu-lations of pesticides, identifying parcel most at risk within the farm boundaries and suggesting the most appropriate risk mitigation measures for the prevention of surface water contamination. Finally, MIMERA offers the opportunity to track the risk trend of the selected pest management strategies utilized during years. The proposed methodology and structure of MIMERA are described along with underlying data and algorithms are described. An example of its application by considering different pest management strategies adopted by farmers in an area characterized by the intensive presence of maize crop in Lombardia Region is presented.
2022
Inglese
Di Guardo, A., Capri, E., Calliera, M., Finizio, A., MIMERA: An online tool for the sustainable pesticide use at field scale, <<SCIENCE OF THE TOTAL ENVIRONMENT>>, 2022; 2022 (846): N/A-N/A. [doi:10.1016/j.scitotenv.2022.157285] [https://hdl.handle.net/10807/234125]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/234125
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