| Estimation of Leaf Chlorophyll a, b and Carotenoid Contents and Their Ratios Using Hyperspectral Reflectance R Sonobe, H Yamashita, H Mihara, A Morita, T Ikka Remote Sensing 12 (19), 3265, 2020 | 65 | 2020 |
| Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms H Yamashita, R Sonobe, Y Hirono, A Morita, T Ikka Scientific reports 10 (1), 17360, 2020 | 50 | 2020 |
| Hyperspectral reflectance sensing for quantifying leaf chlorophyll content in wasabi leaves using spectral pre-processing techniques and machine learning algorithms R Sonobe, H Yamashita, H Mihara, A Morita, T Ikka International Journal of Remote Sensing 42 (4), 1311-1329, 2021 | 33 | 2021 |
| Integrated metabolome and transcriptome analyses reveal etiolation-induced metabolic changes leading to high amino acid contents in a light-sensitive Japanese albino tea cultivar H Yamashita, Y Kambe, M Ohshio, A Kunihiro, Y Tanaka, T Suzuki, ... Frontiers in Plant Science 11, 611140, 2021 | 30 | 2021 |
| Genomic predictions and genome-wide association studies based on RAD-seq of quality-related metabolites for the genomics-assisted breeding of tea plants H Yamashita, T Uchida, Y Tanaka, H Katai, AJ Nagano, A Morita, T Ikka Scientific Reports 10 (1), 17480, 2020 | 30 | 2020 |
| Analyses of single nucleotide polymorphisms identified by ddRAD-seq reveal genetic structure of tea germplasm and Japanese landraces for tea breeding H Yamashita, H Katai, L Kawaguchi, AJ Nagano, Y Nakamura, A Morita, ... PloS one 14 (8), e0220981, 2019 | 22 | 2019 |
| Phenotypic markers reflecting the status of overstressed tea plants subjected to repeated shade cultivation H Yamashita, Y Tanaka, K Umetsu, S Morita, Y Ono, T Suzuki, ... Frontiers in Plant Science 11, 556476, 2020 | 16 | 2020 |
| Use of spectral reflectance from a compact spectrometer to assess chlorophyll content in Zizania latifolia R Sonobe, H Yamashita, AY Nofrizal, H Seki, A Morita, T Ikka Geocarto International 37 (18), 5363-5375, 2022 | 14 | 2022 |
| Quantitative validation of nicotine production in tea (Camellia sinensis L.) T Ikka, H Yamashita, I Kurita, Y Tanaka, F Taniguchi, A Ogino, K Takeda, ... PLoS One 13 (4), e0195422, 2018 | 12 | 2018 |
| Tissue ionome response to rhizosphere pH and aluminum in tea plants (Camellia sinensis L.), a species adapted to acidic soils H Yamashita, Y Fukuda, S Yonezawa, A Morita, T Ikka Plant‐Environment Interactions 1 (2), 152-164, 2020 | 11 | 2020 |
| Polarization Effect in the Soft X‐Ray Absorption of CdS M Watanabe, H Yamashita, Y Nakai, S Sato, S Onari physica status solidi (b) 43 (2), 631-636, 1971 | 11 | 1971 |
| Potential of spectroscopic analyses for non-destructive estimation of tea quality-related metabolites in fresh new leaves H Yamashita, R Sonobe, Y Hirono, A Morita, T Ikka Scientific Reports 11 (1), 4169, 2021 | 10 | 2021 |
| Estimating chlorophyll content of Zizania latifolia with hyperspectral data and random forest AY Nofrizal, R Sonobe, Y Hıroto, A Morita, T Ikka International Journal of Engineering and Geosciences 7 (3), 221-228, 2022 | 9 | 2022 |
| Genetic effects of Red Lettuce Leaf genes on red coloration in leaf lettuce under artificial lighting conditions KC Wada, N Inagaki, H Sakai, H Yamashita, Y Nakai, Z Fujimoto, ... Plant‐Environment Interactions 3 (4), 179-192, 2022 | 8 | 2022 |
| Tissue-dependent variation profiles of tea quality-related metabolites in new shoots of tea accessions H Yamashita, H Katai, T Ohnishi, A Morita, SK Panda, T Ikka Frontiers in Nutrition 8, 659807, 2021 | 8 | 2021 |
| Genetic Background Negates Improvements in Rice Flour Characteristics and Food Processing Properties Caused by a Mutant Allele of the PDIL1-1 Seed Storage … K Hori, T Okunishi, K Nakamura, K Iijima, M Hagimoto, K Hayakawa, ... Rice 15 (1), 13, 2022 | 7 | 2022 |
| Effects of oxygen adsorption on laser-induced sputtering from GaP (110) surfaces J Kanasaki, H Yamashita, A Okano, K Hattori, Y Nakai, N Itoh, ... Surface Science Letters 257 (1-3), L642-L646, 1991 | 6 | 1991 |
| Deciphering transcriptomic signatures explaining the phenotypic plasticity of nonheading lettuce genotypes under artificial light conditions H Yamashita, CK Wada, N Inagaki, Z Fujimoto, J Yonemaru J, H Itoh Plant, Cell & Environment 46 (12), 3971-3985, 2023 | 5 | 2023 |
| Evaluation of a one-dimensional convolution neural network for chlorophyll content estimation using a compact spectrometer AY Nofrizal, R Sonobe, H Yamashita, H Seki, H Mihara, A Morita, T Ikka Remote Sensing 14 (9), 1997, 2022 | 5 | 2022 |
| Estimation of chlorophyll content in radish leaves using hyperspectral remote sensing data and machine learning algorithms AY Nofrizal, R Sonobe, H Yamashita, T Ikka, A Morita Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII 11856, 37-44, 2021 | 3 | 2021 |
