{"id":6622,"date":"2023-11-28T16:43:30","date_gmt":"2023-11-28T15:43:30","guid":{"rendered":"https:\/\/www.irsa.cnr.it\/wp\/?p=6622"},"modified":"2023-11-28T16:43:30","modified_gmt":"2023-11-28T15:43:30","slug":"e-partito-il-progetto-agrarsense-smart-digitalized-components-and-systems-for-data-based-agriculture-and-forestry","status":"publish","type":"post","link":"https:\/\/www.irsa.cnr.it\/wp\/?p=6622","title":{"rendered":"E\u2019 partito il progetto \u201cAGRARSENSE – SMART, DIGITALIZED COMPONENTS AND SYSTEMS FOR DATA-BASED AGRICULTURE AND FORESTRY\u201d"},"content":{"rendered":"

Nelle scorse settimane \u00e8 stato avviato il progetto \u201cAGRARSENSE – SMART, DIGITALIZED COMPONENTS AND SYSTEMS FOR DATA-BASED AGRICULTURE AND FORESTRY\u201d che mira a sviluppare tecnologie, sensori, dispositivi IoT e sistemi di supporto alle decisioni per l\u2019agricoltura con un approccio olistico mediante sette casi di studio. Soluzioni all\u2019avanguardia consentiranno di migliorare la produttivit\u00e0 dell\u2019agricoltura, ridurre l\u2019impatto sull\u2019ambiente e perseguire l\u2019uso sostenibile delle risorse naturali. Il progetto \u00e8 co-finanziato dal programma di Ricerca e Innovazione Horizon Europe dell’UE [Chips JU funding] e da Svezia, Rep. Ceca, Finlandia, Irlanda, Italia, Lettonia, Paesi Bassi, Polonia, Spagna, Norvegia.<\/p>\n

Partecipano al progetto 51 partner di 14 paesi: grandi aziende, gruppi e piccole e medie imprese ed enti di ricerca tra cui CNR-IRSA, CSIC, CREA, Latvijas Universitates, University of West Bohemia, Lapland University of Applied Sciences, GDANSK University of Technology. Il progetto \u00e8 coordinatore da Peter Assarsson del Komatsu Forest AB Institute (Svezia).<\/p>\n

E\u2019 possibile seguire gli sviluppi del progetto su\u00a0www.agrarsense.eu <\/a>e\u00a0 agrarsense@LinkedIn<\/a><\/p>\n

\"\"<\/p>\n

Contatti:
\n<\/strong>Alfieri Pollice – CNR-IRSA sede di Bari – alfieri.pollice@cnr.it<\/a>
\nAnna Maria De Girolamo – CNR-IRSA sede di Bari – annamaria.degirolamo@cnr.it<\/a><\/p>\n

\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

Nelle scorse settimane \u00e8 stato avviato il progetto \u201cAGRARSENSE – SMART, DIGITALIZED COMPONENTS AND SYSTEMS FOR DATA-BASED AGRICULTURE AND FORESTRY\u201d che mira a sviluppare tecnologie, sensori, dispositivi IoT e sistemi di supporto alle decisioni per l\u2019agricoltura con un approccio olistico mediante sette casi di studio. Soluzioni all\u2019avanguardia consentiranno di migliorare la produttivit\u00e0 dell\u2019agricoltura, ridurre l\u2019impatto […]<\/p>\n","protected":false},"author":1,"featured_media":6623,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[61],"tags":[],"post_folder":[],"class_list":["post-6622","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-irsa"],"acf":[],"yoast_head":"\nE\u2019 partito il progetto \u201cAGRARSENSE - SMART, DIGITALIZED COMPONENTS AND SYSTEMS FOR DATA-BASED AGRICULTURE AND FORESTRY\u201d - CNR - IRSA Istituto di Ricerca Sulle Acque - Water Research Institute<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.irsa.cnr.it\/wp\/?p=6622\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"E\u2019 partito il progetto \u201cAGRARSENSE - SMART, DIGITALIZED COMPONENTS AND SYSTEMS FOR DATA-BASED AGRICULTURE AND FORESTRY\u201d - CNR - IRSA Istituto di Ricerca Sulle Acque - Water Research Institute\" \/>\n<meta property=\"og:description\" content=\"Nelle scorse settimane \u00e8 stato avviato il progetto \u201cAGRARSENSE – SMART, DIGITALIZED COMPONENTS AND SYSTEMS FOR DATA-BASED AGRICULTURE AND FORESTRY\u201d che mira a sviluppare tecnologie, sensori, dispositivi IoT e sistemi di supporto alle decisioni per l\u2019agricoltura con un approccio olistico mediante sette casi di studio. 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