Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 3
Strokovni članek
Oznake: artificial intelligence;camera trap;deep-learning;early detection;Europe;forest pest surveillance;pine processionary moth;Thaumetopoea pityocampa;
Background Recent advances in AI-based surveillance technologies have shifted agricultural pest monitoring from reactive to proactive, yet their application to forest pests remains limited despite the need for efficient monitoring across large, remote and difficult-to-access forest landscapes. The p ...
Leto: 2026 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Raziskovalni podatki
Oznake: umetna inteligenca;kamera-past;globoko učenje;zgodnje odkrivanje;Evropa;spremljanje gozdnih škodljivcev;borov sprevodec;Thaumetopoea pityocampa;artificial intelligence;camera trap;deep-learning;early detection;Europe;forest pest surveillance;pine processionary moth;
Large testing of AI-based camera traps on a forest defoliating pest in Europe
Leto: 2026 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Izvirni znanstveni članek
Oznake: drevesa;kemijska obramba listov;biomasa ličink;leaf chemical defences;Lymantria dispar;larvae biomass;pant–insect interactions;
An increase in biotic interactions towards lower latitudes is one of the most consistent patterns in ecology. Higher temperatures and more stable climatic conditions at low latitudes are thought to enhance biotic interactions, accelerating biological evolution and leading to stronger anti-herbivore ...
Leto: 2025 Vir: Repozitorij Univerze v Ljubljani (RUL)
Št. zadetkov: 3
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: