Kentaro Kuroki

Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods

Minhajul A. Badhon, Haozhou Wang, F. Baret, 2021, Plant phenomics.

Development of a high-throughput field phenotyping rover optimized for size-limited breeding fields as open-source hardware

K. Shimizu, H. Iwata, S. Nasuda, 2022, Breeding science.

PlantServation: time-series phenotyping using machine learning revealed seasonal pigment fluctuation in diploid and polyploid Arabidopsis

J. Sese, Yuki Shimahara, H. Kudoh, 2022, bioRxiv.

Ca2+ Sensors: Synaptotagmins

H. Matsui, Kentaro Kuroki, T. Nishiki, 2015 .

Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity pdf

Frédéric Baret, Ian Stavness, Pouria Sadeghi-Tehran, 2021, ArXiv.

Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation

Yuki Shimahara, H. Kudoh, K. Shimizu, 2023, Nature communications.