Towards intelligent and integrated pest management through an AIoT-based monitoring system.

Rustia, Dan Jeric Arcega; Chiu, Lin-Ya; Lu, Chen-Yi; Wu, Ya-Fang; Chen, Sheng-Kuan; Chung, Jui-Yung; Hsu, Ju-Chun; Lin, Ta-Te

Rustia, Dan Jeric Arcega; Chiu, Lin-Ya; Lu, Chen-Yi; Wu, Ya-Fang; Chen, Sheng-Kuan; Chung, Jui-Yung; Hsu, Ju-Chun; Lin, Ta-Te.

Afiliación

Rustia DJA; Department of Biomechatronics Engineering, National Taiwan University, Taipei, Taiwan, ROC.
Chiu LY; Department of Biomechatronics Engineering, National Taiwan University, Taipei, Taiwan, ROC.
Lu CY; Department of Biomechatronics Engineering, National Taiwan University, Taipei, Taiwan, ROC.
Wu YF; Tainan District Agricultural Research and Extension Station, Tainan, Taiwan, ROC.
Chen SK; Tainan District Agricultural Research and Extension Station, Tainan, Taiwan, ROC.
Chung JY; Tainan District Agricultural Research and Extension Station, Tainan, Taiwan, ROC.
Hsu JC; Department of Entomology, National Taiwan University, Taipei, Taiwan, ROC.
Lin TT; Department of Biomechatronics Engineering, National Taiwan University, Taipei, Taiwan, ROC.

Pest Manag Sci ; 78(10): 4288-4302, 2022 Oct.

Article en En | MEDLINE | ID: mdl-35716088

Asunto(s)

Hemípteros; Thysanoptera; Animales; Insectos; Control de Plagas; Enfermedades de las Plantas

Palabras clave

artificial intelligence of things (AIoT); data analytics; deep learning; integrated pest management (IPM); monitoring system

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Thysanoptera / Hemípteros Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Pest Manag Sci Asunto de la revista: TOXICOLOGIA Año: 2022 Tipo del documento: Article

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