{"id":3732,"date":"2024-04-25T23:46:27","date_gmt":"2024-04-25T21:46:27","guid":{"rendered":"https:\/\/www.predict-er.com\/?page_id=3732"},"modified":"2024-10-02T23:23:14","modified_gmt":"2024-10-02T21:23:14","slug":"home","status":"publish","type":"page","link":"https:\/\/www.predict-er.com\/sr\/","title":{"rendered":"PO\u010cETNA"},"content":{"rendered":"
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RAZVOJ ALATA ZA PREDVI\u0110ANjE EROZIJE ZA ODR\u017dIVO UPRAVLjANjE ZEMLjI\u0160TEM<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Razvoj alata za predvi\u0111anje erozije za odr\u017eivo upravljanje zemlji\u0161tem \u2013 Predict-Er donosi novi pristup koji kombinuje nuklearne, analiti\u010dke, statisti\u010dke tehnike i tehnike daljinskog detekcije za generisanje terenskih podataka visoke rezolucije, koji \u0107e biti modelovani i integrisani u vi\u0161eslojnu mre\u017eu GIS Predict-Er alat koji omogu\u0107ava predvi\u0111anje promena u stopama erozije zemlji\u0161ta i dinamici sedimenta u razli\u010ditim scenarijima upravljanja. Reprezentativni i procesni modeli integrisani u Web-GIS alat koji je jednostavan za kori\u0161\u0107enje imaju za cilj da podr\u017ee donosioce odluka u izboru odgovaraju\u0107ih mera o\u010duvanja kako bi se minimizirali efekti erozije. Povratne informacije relevantnih zainteresovanih strana \u0107e se koristiti za pobolj\u0161anje dizajna i performansi alata. Bi\u0107e predlo\u017eeni modeli sa najboljim prediktivnim performansama kako bi se optimizovala koli\u010dina ulaznih podataka za parametrizaciju modela u budu\u0107im aplikacijama u razli\u010ditim regionima. Kori\u0161\u0107enje Predict-Er pristupa zna\u010dajno \u0107e uticati na kvalitet zemlji\u0161ta i povr\u0161inske vode sa posledi\u010dnim socio-ekonomskim koristima i uticajem na strategije odr\u017eivog upravljanja zemlji\u0161tem.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Ovo istra\u017eivanje je podr\u017eao Fond za nauku Republike Srbije,<\/strong><\/p>\n

#GRANT br. 7047, Razvoj alata za predvi\u0111anje erozije za odr\u017eivo upravljanje zemlji\u0161tem \u2013 Predict-Er.<\/strong><\/p>\n


<\/strong><\/p>\n

<\/p>\n

Program: PRISMA<\/p>\n

Period implementacije: 2023 \u2013 2026.<\/p>\n

Projekat finansira: Fond za nauku Republike Srbije<\/p>\n

Nosilac projekta NIO: Institut za nuklearne nauke \u201eVin\u010da\u201d \u2013 Institut od nacionalnog zna\u010daja za Republiku Srbiju, Univerzitet u Beogradu<\/p>\n

NIO u\u010desnici projekta:<\/p>\n

Univerzitet u Ni\u0161u \u2013 Prirodno-matemati\u010dki fakultet;<\/p>\n

Univerzitet u Beogradu \u2013 Poljoprivredni fakultet<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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DEVELOPMENT OF EROSION PREDICTION TOOL FOR SUSTAINABLE SOIL MANAGEMENT The Development of erosion prediction tool for sustainable soil management \u2013 Predict-Er brings a novel approach that combines nuclear, analytical, statistical, and remote sensing techniques to produce high-resolution field data, which will be modeled and integrated within a multilayer web GIS Predict -Er tool to enable 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