Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Joshua C.O. Koh"'
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 858 (2021)
Automated machine learning (AutoML) has been heralded as the next wave in artificial intelligence with its promise to deliver high-performance end-to-end machine learning pipelines with minimal effort from the user. However, despite AutoML showing gr
Externí odkaz:
https://doaj.org/article/c88b2daa8d084e92abd49dae401b9403
Autor:
Mulusew Fikere, Denise M. Barbulescu, Michelle M. Malmberg, Fan Shi, Joshua C.O. Koh, Anthony T. Slater, Iona M. MacLeod, Phillip J. Bowman, Phillip A. Salisbury, German C. Spangenberg, Noel O.I. Cogan, Hans D. Daetwyler
Publikováno v:
The Plant Genome, Vol 11, Iss 2 (2018)
Genomic prediction is becoming a popular plant breeding method to predict the genetic merit of lines. While some genomic prediction results have been reported in canola, none have been evaluated for blackleg disease. Here, we report genomic predictio
Externí odkaz:
https://doaj.org/article/fb04fe4496e34ba4a72a634984a37f05
SummaryHyperspectral vegetation indices (VIs) are widely deployed in agriculture remote sensing and plant phenotyping to estimate plant biophysical and biochemical traits. However, existing VIs consist mainly of simple 2-band indices which limits the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1704a06e8f86853eeb32bd74012ee7e0
https://doi.org/10.1101/2021.10.27.466056
https://doi.org/10.1101/2021.10.27.466056