[5-5] Automated monitoring of insects

2024年8月27日(火) 16:15 〜 18:15 Room J

座長: David B Roy (UK Centre for Ecology & Hydrology), Toke Thomas Høye (Aarhus University), Eleanor Slade (Nanyang Technological University)

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16:15 〜 16:30

[5-5-01] Globally standardised species monitoring with insect camera traps and deep learning models

*Toke Thomas Høye¹ (1. Aarhus University (Denmark))

16:30 〜 16:45

[5-5-02] Observation of flower-visiting insects in the Bonin Islands using a Raspberry Pi-based video recording system

*Kazuya Takeda¹ (1. The University of Tokyo (Japan))

講演取消

16:45 〜 17:00

[5-5-03] Presentation Withdrawn

17:00 〜 17:15

[5-5-04] Is deep learning effective for monitoring paddy field biodiversity? - Evaluating the learning costs and accuracy

*Masayoshi Hiraiwa¹, Naoto Ishiwaka¹, Daiki Akiyama¹, Kioto Ota¹, Koya Hashimoto^2,3, Kenji Tsuchiya³, Taku Kadoya³, Daisuke Hayasaka¹ (1. Kindai University (Japan), 2. Hirosaki University (Japan), 3. NIES (Japan))

17:15 〜 17:30

[5-5-05] Insect monitoring using the BioView System: automatic electronic traps aid conventional sampling in remote and natural areas of the Balearic Islands (Spain).

*Miguel Ángel Miranda^1,2, Aroa Rodríguez¹, Mikel Alexander González⁵, Claudia Paredes-Esquivel⁶, Ana Sanz-Aguilar¹, Carlos Barceló¹, Miguel Molina-Rotger³, Carles Homs⁴, Maurici Ruíz-Pérez⁴, Bartomeu Alorda³ (1. Applied Zoology and Animal Conservation research group (ZAP-UIB). University of the Balearic Islands. (Spain), 2. Agro-Environmental and Water Economics Research Institute. INAGEA (Spain), 3. Departament d’Enginyeria Industrial i Construcció Universitat de les Illes Balears. (Spain), 4. Servei de Sistemes d’Informació Geogràfica i Teledetecció Universitat de les Illes Balears. (Spain), 5. Doñana Biological Station Spanish National Research Council (EBD-CSIC) (Spain), 6. Department of Biology. Universitat de les Illes Balears. (Spain))

17:30 〜 17:45

[5-5-06] The use of new technologies for automated monitoring of insects: The AMI (Automated Monitoring of Insects) System

*Jenna Louise Lawson¹ (1. UK Centre for Ecology and Hydrology (UK))

17:45 〜 18:00

[5-5-07] An audio-synthesis based approach for enhancing automatic detection of cicada songs in challenging chorus conditions

*Ryotaro Okamoto^1,2, Hiroyuki Oguma² (1. University of Tsukuba (Japan), 2. National Institute for Environmental Studies (Japan))

18:00 〜 18:15

[5-5-08] From buzzes to bytes: A systematic review of automated bioacoustics models used to detect, classify, and monitor insects

*Laura Figueroa¹, Anna Kohlberg¹, Chris Myers² (1. University of Massachusetts, Amherst (United States of America), 2. Cornell University (United States of America))

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