A Comparison of Three Automated Root-Knot Nematode Egg Counting Approaches Using Machine Learning, Image Analysis, and a Hybrid Model
Meloidogyne spp. (root-knot nematodes [RKNs]) are a major threat to a wide range of agricultural crops worldwide. Breeding crops for RKN resistance is an effective management strategy, yet assaying large numbers of breeding lines requires laborious bioassays that are time-consuming and require exper...
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Détails bibliographiques
| Publié dans: | Plant disease. - 1997. - 108(2024), 9 vom: 29. Sept., Seite 2625-2629
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| Auteur principal: |
Fraher, Simon P
(Auteur) |
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| Autres auteurs: |
Watson, Mark,
Nguyen, Hoang,
Moore, Savannah,
Lewis, Ramsey S,
Kudenov, Michael,
Yencho, G Craig,
Gorny, Adrienne M |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | Plant disease
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| Sujets: | Journal Article
Comparative Study
automated counting
convolutional neural network
meloidogyne
root-knot nematode |
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