Seishi Ninomiya
Seishi Ninomiya
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An informative linkage map of soybean reveals QTLs for flowering time, leaflet morphology and regions of segregation distortion
N Yamanaka, S Ninomiya, M Hoshi, Y Tsubokura, M Yano, Y Nagamura, ...
DNA research 8 (2), 61-72, 2001
Analysis of Petal Shape Variation of Primula sieboldii by Elliptic Fourier Descriptors and Principal Component Analysis
Y Yoshioka, H Iwata, RYO Ohsawa, S Ninomiya
Annals of Botany 94 (5), 657-664, 2004
Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model
W Guo, UK Rage, S Ninomiya
Computers and electronics in agriculture 96, 58-66, 2013
Quantitative evaluation of soybean (Glycine max L. Merr.) leaflet shape by principal component scores based on elliptic Fourier descriptor
N Furuta, S Ninomiya, N Takahashi, H Ohmori, U Yasuo
Japanese Journal of Breeding 45 (3), 315-320, 1995
On plant detection of intact tomato fruits using image analysis and machine learning methods
K Yamamoto, W Guo, Y Yoshioka, S Ninomiya
Sensors 14 (7), 12191-12206, 2014
AntMap: constructing genetic linkage maps using an ant colony optimization algorithm
H Iwata, S Ninomiya
Breeding science 56 (4), 371-377, 2006
Providing agricultural models with mediated access to heterogeneous weather databases
MR Laurenson, T Kiura, S Ninomiya
Applied Engineering in Agriculture 18 (5), 617, 2002
Chalkiness in rice: potential for evaluation with image analysis
Y Yoshioka, H Iwata, M Tabata, S Ninomiya, R Ohsawa
Crop Science 47 (5), 2113-2120, 2007
Diallel analysis of leaf shape variations of citrus varieties based on elliptic Fourier descriptors
H Iwata, H Nesumi, S Ninomiya, Y Takano, Y Ukai
Breeding Science 52 (2), 89-94, 2002
Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images
W Guo, T Fukatsu, S Ninomiya
Plant methods 11 (1), 7, 2015
Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV
T Duan, B Zheng, W Guo, S Ninomiya, Y Guo, SC Chapman
Functional Plant Biology 44 (1), 169-183, 2017
Combining regression trees and radial basis function networks
M Orr, J Hallam, K Takezawa, A Murray, S Ninomiya, M Oide, T Leonard
International Journal of Neural Systems 10 (06), 453-465, 2000
Discrimination of soybean leaflet shape by neural networks with image input
M Oide, S Ninomiya
Computers and electronics in agriculture 29 (1-2), 59-72, 2000
The evaluation of genotype× environment interactions of citrus leaf morphology using image analysis and elliptic Fourier descriptors
H Iwata, H Nesumi, S Ninomiya, Y Takano, Y Ukai
Breeding science 52 (4), 243-251, 2002
Quantitative evaluation of common buckwheat (Fagopyrum esculentum Moench) kernel shape by elliptic Fourier descriptor
R Ohsawa, T Tsutsumi, H Uehara, H Namai, S Ninomiya
Euphytica 101 (2), 175-183, 1998
Statistical models for prediction of dry weight and nitrogen accumulation based on visible and near-infrared hyper-spectral reflectance of rice canopies
W Takahashi, NC Vu, S Kawaguchi, M Minamiyama, S Ninomiya
Plant Production Science 3 (4), 377-386, 2000
Data mining and wireless sensor network for agriculture pest/disease predictions
AK Tripathy, J Adinarayana, D Sudharsan, SN Merchant, UB Desai, ...
2011 World Congress on Information and Communication Technologies, 1229-1234, 2011
Elearning in higher education makes its debut in Cambodia: Implications of the Provincial Business Education Project
BR Abdon, S Ninomiya, RT Raab
The International Review of Research in Open and Distributed Learning 8 (1), 2007
Developing agricultural models using MetBroker mediation software
Journal of Agricultural Meteorology 58 (1), 1-9, 2002
Quantitative evaluation of flower colour pattern by image analysis and principal component analysis of Primula sieboldii E. Morren
Y Yoshioka, H Iwata, R Ohsawa, S Ninomiya
Euphytica 139 (3), 179-186, 2004
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