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Seed classification with random forest models

Abstract Premise To improve forest conservation monitoring, we developed a protocol to automatically count and identify the seeds of plant species with minimal resource requirements, making the process more efficient and less dependent on human operators. Methods and Results Seeds from six North Ame...

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Autori principali: Josephine Elena Reek, Janneke Hille Ris Lambers, Eléonore Perret, Alana R. O. Chin
Natura: Artigo
Lingua:Inglês
Pubblicazione: Wiley 2024-05-01
Serie:Applications in Plant Sciences
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Accesso online:https://doi.org/10.1002/aps3.11596
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