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              <p>Nous présentons un cadre d'apprentissage profond permettant de prédire les concentrations hebdomadaires de pesticides dans l'air en France. En intégrant les données géospatiales annuelles sur les achats (BNVD-S), l'utilisation des sols à haute résolution (RPG), les données météorologiques (ERA5-Land) et les mesures sporadiques des capteurs (CNEP) dans une représentation unifiée basée sur un maillage, nous permettons des prédictions spatiales et temporelles fines de l'exposition. La modélisation conjointe de 75 substances permet de pallier la rareté des données tout en préservant les comportements spécifiques à chaque substance, ce qui facilite la recherche épidémiologique au-delà des agrégats annuels.Données Données annuelles sur l'utilisation des sols issues de l'ensemble de données RPG (11 millions de parcelles, 216 types de cultures). Pesticides achetés auprès du BNVD-S (481 substances, 44 % d'herbicides, 36 % de fongicides). &lt;p&gt;Données pédoclimatiques provenant de Copernicus ERA5-Land (50 caractéristiques, 1,3 million de points).Mesures mensuelles de la qualité de l'air provenant des bases de données CNEP et Phytatmo (70 substances, 50 capteurs par an).&lt;/p&gt;</p>
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