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Plos One|January 27, 2016
Visible Light Image-Based Method for Sugar Content Classification of CitrusXuefeng Wang, Chunyan Wu, Masayuki HirafujiPlant Phenomics (Washington, D.C.)|August 12, 2024
PREPs: An Open-Source Software for High-Throughput Field Plant PhenotypingAtsushi Itoh, Stephen N Njane, Masayuki Hirafuji, et al.Microbes and Environments|June 1, 2022
Effects of Different Types of Additional Fertilizers on Root-associated Microbes of Napa Cabbage Grown in an Andosol Field in JapanSeishi Ikeda, Kazuyuki Okazaki, Hirohito Tsurumaru, et al.Plant Phenomics (Washington, D.C.)|December 14, 2020
Easy MPE: Extraction of Quality Microplot Images for UAV-Based High-Throughput Field PhenotypingLéa Tresch, Yue Mu, Atsushi Itoh, et al.Plant Phenomics (Washington, D.C.)|July 30, 2024
High-Throughput Yield Prediction of Diallele Crossed Sugar Beet in a Breeding Field Using UAV-Derived Growth DynamicsKazunori Taguchi, Wei Guo, James Burridge, et al.Plant Phenomics (Washington, D.C.)|March 20, 2023
Improved Field-Based Soybean Seed Counting and Localization with Feature Level ConsideredJiangsan Zhao, Akito Kaga, Tetsuya Yamada, et al.Annals of the New York Academy of Sciences|November 25, 2006
An overview of challenges in modeling heat and mass transfer for living on MarsMasamichi Yamashita, Yoji Ishikawa, Yoshiaki Kitaya, et al.Plant Phenomics (Washington, D.C.)|December 14, 2020
A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and CountingSambuddha Ghosal, Bangyou Zheng, Scott C Chapman, et al.Pageof 1