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Dan Jeric Arcega Rustia

Showing results (1-10 of 5) with videos related to

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Sensors (Basel, Switzerland)|July 2, 2021
Honey Bee Colony Population Daily Loss Rate Forecasting and an Early Warning Method Using Temporal Convolutional NetworksThi-Nha Ngo, Dan Jeric Arcega Rustia, En-Cheng Yang, et al.
Plant Phenomics (Washington, D.C.)|December 19, 2025
Spotibot: Rapid scoring of <i>B</i> <i>otrytis</i> lesions on rose petals using deep learning and mobile computingDan Jeric Arcega Rustia, Maikel Zerdoner, Manon Mensink, et al.
Plant Methods|July 7, 2026
Stomatalia: a deep learning-based platform for quantitative stomata and pavement cell analysisDan Jeric Arcega Rustia, Marcello Gazale, Micha Gracianna Devi, et al.
Plant Methods|May 20, 2023
Eggsplorer: a rapid plant-insect resistance determination tool using an automated whitefly egg quantification algorithmMicha Gracianna Devi, Dan Jeric Arcega Rustia, Lize Braat, et al.
Pest Management Science|June 18, 2022
Towards intelligent and integrated pest management through an AIoT-based monitoring systemDan Jeric Arcega Rustia, Lin-Ya Chiu, Chen-Yi Lu, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|July 2, 2021
Honey Bee Colony Population Daily Loss Rate Forecasting and an Early Warning Method Using Temporal Convolutional NetworksThi-Nha Ngo, Dan Jeric Arcega Rustia, En-Cheng Yang, et al.
Plant Phenomics (Washington, D.C.)|December 19, 2025
Spotibot: Rapid scoring of <i>B</i> <i>otrytis</i> lesions on rose petals using deep learning and mobile computingDan Jeric Arcega Rustia, Maikel Zerdoner, Manon Mensink, et al.
Plant Methods|July 7, 2026
Stomatalia: a deep learning-based platform for quantitative stomata and pavement cell analysisDan Jeric Arcega Rustia, Marcello Gazale, Micha Gracianna Devi, et al.
Plant Methods|May 20, 2023
Eggsplorer: a rapid plant-insect resistance determination tool using an automated whitefly egg quantification algorithmMicha Gracianna Devi, Dan Jeric Arcega Rustia, Lize Braat, et al.
Pest Management Science|June 18, 2022
Towards intelligent and integrated pest management through an AIoT-based monitoring systemDan Jeric Arcega Rustia, Lin-Ya Chiu, Chen-Yi Lu, et al.
Pageof 1