Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Yee Thung Kon"'
Autor:
Qi Bin Kwong, Yee Thung Kon, Wan Rusydiah W. Rusik, Mohd Nor Azizi Shabudin, Shahirah Shazana A. Rahman, Harikrishna Kulaveerasingam, David Ross Appleton
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract In digital agriculture, accurate crop detection is fundamental to developing automated systems for efficient plantation management. For oil palm, the main challenge lies in developing robust models that perform well in different environmenta
Externí odkaz:
https://doaj.org/article/cad97e1c3f0d44b996dc9ddbebbc6db2
Autor:
Qi Bin Kwong, Yick Ching Wong, Phei Ling Lee, Muhammad Syafiq Sahaini, Yee Thung Kon, Harikrishna Kulaveerasingam, David Ross Appleton
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
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 fro
Externí odkaz:
https://doaj.org/article/36a9aff3402a4aef91a2438fd42fbc76
Autor:
Phei Ling Lee, David Ross Appleton, Qi Bin Kwong, Harikrishna Kulaveerasingam, Yick Ching Wong, Yee Thung Kon, Muhammad Syafiq Sahaini
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d5bca60144c4b77dab2812cc774d4d7
https://doi.org/10.1038/s41598-021-94705-4
https://doi.org/10.1038/s41598-021-94705-4