| 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 | 231 | 2014 |
| 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 | 214 | 2001 |
| 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 | 204 | 2013 |
| 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 | 171 | 2004 |
| 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 | 150 | 1995 |
| AntMap: constructing genetic linkage maps using an ant colony optimization algorithm H Iwata, S Ninomiya Breeding science 56 (4), 371-377, 2006 | 131 | 2006 |
| A weakly supervised deep learning framework for sorghum head detection and counting S Ghosal, B Zheng, SC Chapman, AB Potgieter, DR Jordan, X Wang, ... Plant Phenomics, 2019 | 119 | 2019 |
| Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images W Guo, T Fukatsu, S Ninomiya Plant methods 11, 1-15, 2015 | 113 | 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, 2016 | 111 | 2016 |
| 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 | 103 | 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 | 80 | 2002 |
| Aerial imagery analysis–quantifying appearance and number of sorghum heads for applications in breeding and agronomy W Guo, B Zheng, AB Potgieter, J Diot, K Watanabe, K Noshita, DR Jordan, ... Frontiers in plant science 9, 1544, 2018 | 79 | 2018 |
| Providing agricultural models with mediated access to heterogeneous weather databases MR Laurenson, T Kiura, S Ninomiya Applied Engineering in Agriculture 18 (5), 617, 2002 | 78 | 2002 |
| 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 | 77 | 2011 |
| 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 | 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 | 67 | 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, 175-183, 1998 | 65 | 1998 |
| 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 | 64 | 2000 |
| Automatic estimation of heading date of paddy rice using deep learning SV Desai, VN Balasubramanian, T Fukatsu, S Ninomiya, W Guo Plant Methods 15 (1), 1-11, 2019 | 63 | 2019 |
| E-learning in higher education makes its debut in Cambodia: the provincial business education project BR Abdon, S Ninomiya, RT Raab International Review of Research in Open and Distributed Learning 8 (1), 1-14, 2007 | 62 | 2007 |
