The Smart Soil Organism Detector: An instrument and machine learning pipeline for soil species identification.

Filgueiras, Camila C; Kim, Yongwoon; Wickings, Kyle G; El Borai, Faheim; Duncan, Larry W; Willett, Denis S

Filgueiras, Camila C; Kim, Yongwoon; Wickings, Kyle G; El Borai, Faheim; Duncan, Larry W; Willett, Denis S.

Afiliação

Filgueiras CC; Department of Biology, University of North Carolina Asheville, One University Heights, Asheville, 28804, NC, USA. Electronic address: camila@unca.edu.
Kim Y; Union Biometrica, 84 October Hill Rd, Holliston, 01746, MA, USA.
Wickings KG; Department of Entolomogy, Cornell University, Cornell AgriTech, 15 Castle Creek Drive, Geneva, 14456, NY, USA.
El Borai F; Department of Entolomogy and Nematology, University of Florida, Gulf Coast Research and Education Center, 14625 CR 672, Wimauma, 33598, FL, USA.
Duncan LW; Department of Entolomogy and Nematology, University of Florida, Citrus Research and Education Center, 700 Experiment Station Rd, Lake Alfred, 33850, FL, USA.
Willett DS; North Carolina Institute for Climate Studies, North Carolina State University, 151 Patton Avenue, Asheville, 28801, NC, USA. Electronic address: dswillet@ncsu.edu.

Biosens Bioelectron ; 221: 114417, 2023 Feb 01.

Article em En | MEDLINE | ID: mdl-35690558

Assuntos

Técnicas Biossensoriais; Nematoides; Animais; Solo; Biodiversidade; Aprendizado de Máquina

Palavras-chave

Deep learning; Flow cytometry; High throughput sensing; Micro-arthropods; Nematodes; Soil biodiversity

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Nematoides Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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