Automated stomata detection in oil palm with convolutional neural network

Abstract Stomatal density is an important trait for breeding selection of drought tolerant oil palms; however, its measurement is extremely tedious. To accelerate this process, we developed an automated system. Leaf samples from 128 palms ranging from nursery (1 years old), juvenile (2–3 years old)...

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Auteurs principaux: Qi Bin Kwong, Yick Ching Wong, Phei Ling Lee, Muhammad Syafiq Sahaini, Yee Thung Kon, Harikrishna Kulaveerasingam, David Ross Appleton
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Q
Accès en ligne:https://doaj.org/article/36a9aff3402a4aef91a2438fd42fbc76
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