OptiPhy, a technical-economic optimisation model for improving the management of plant protection practices in agriculture: a decision-support tool for controlling the toxicity risks related to pesticides

التفاصيل البيبلوغرافية
العنوان: OptiPhy, a technical-economic optimisation model for improving the management of plant protection practices in agriculture: a decision-support tool for controlling the toxicity risks related to pesticides
المؤلفون: E. Mandart, J. Fabre, Jean-Paul Bord, Philippe Le Grusse, Oussama Mghirbi
المساهمون: Gouvernance, Risque, Environnement, Développement (GRED), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM), DIATAE, Université Paul-Valéry - Montpellier 3 (UPVM), Université Paul-Valéry Montpellier 3 - Faculté des Sciences humaines et des sciences de l'environnement ( UPVM UM3 UFR3), Gouvernance, Risque, Environnement, Développement ( GRED ), Université Paul-Valéry - Montpellier 3 ( UM3 )
المصدر: Environmental Science and Pollution Research
Environmental Science and Pollution Research, Springer Verlag, 2017, 24 (8), pp.6951-6972. ⟨10.1007/s11356-016-6775-1⟩
Environmental Science and Pollution Research, Springer Verlag, 2017, 24 (8), pp.6951-6972
بيانات النشر: HAL CCSD, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Crops, Agricultural, Decision support system, Engineering, Health, Toxicology and Mutagenesis, [SDV]Life Sciences [q-bio], Vulnerability, Context (language use), 010501 environmental sciences, 01 natural sciences, Pesticide toxicity, [ SHS.ENVIR ] Humanities and Social Sciences/Environmental studies, Decision Support Techniques, [ SHS.GEO ] Humanities and Social Sciences/Geography, [SHS]Humanities and Social Sciences, Humans, Environmental Chemistry, Pesticides, Constraint (mathematics), Risk management, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, 2. Zero hunger, Risk Management, business.industry, Environmental resource management, 04 agricultural and veterinary sciences, General Medicine, [SHS.GEO]Humanities and Social Sciences/Geography, Models, Theoretical, 15. Life on land, Environmental economics, Pollution, people.cause_of_death, Crop Production, Models, Economic, 13. Climate action, Agriculture, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, [SDE]Environmental Sciences, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, business, Risk assessment, people
الوصف: International audience; The health, environmental and socio-economic issues related to the massive use of plant protection products are a concern for all the stakeholders involved in the agricultural sector. These stakeholders, including farmers and territorial actors, have expressed a need for decision-support tools for the management of diffuse pollution related to plant protection practices and their impacts. To meet the needs expressed by the public authorities and the territorial actors for such decision-support tools, we have developed a technical-economic model “OptiPhy” for risk mitigation based on indicators of pesticide toxicity risk to applicator health (IRSA) and to the environment (IRTE), under the constraint of suitable economic outcomes. This technical-economic optimisation model is based on linear programming techniques and offers various scenarios to help the different actors in choosing plant protection products, depending on their different levels of constraints and aspirations. The health and environmental risk indicators can be broken down into sub-indicators so that management can be tailored to the context. This model for technical-economic optimisation and management of plant protection practices can analyse scenarios for the reduction of pesticide-related risks by proposing combinations of substitution PPPs, according to criteria of efficiency, economic performance and vulnerability of the natural environment. The results of the scenarios obtained on real ITKs in different cropping systems show that it is possible to reduce the PPP pressure (TFI) and reduce toxicity risks to applicator health (IRSA) and to the environment (IRTE) by up to approximately 50 %.
اللغة: English
تدمد: 0944-1344
1614-7499
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d9374de9ab4bd015d97147571391e24
https://hal.archives-ouvertes.fr/hal-01809466
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....9d9374de9ab4bd015d97147571391e24
قاعدة البيانات: OpenAIRE