二宫正士，3118com云顶集团表型中心教授，博士生导师，东京大学名誉教授。曾任亚洲农业信息技术联盟主席，日本农林水产省农业研究中心上席研究官，农林水产省农业IT研究推进负责人，日本国家农业研究机构研究管理监等职务，现任日本科学技术振兴机构超先端研究总负责人，日本农林水产省农林水产技术会议会员，Science旗下期刊Plant Phenomics主编。

二宫教授三十年来发表了80余篇SCI，获得了包括日本农业信息学会奖，日本“读卖新闻”奖及“日本农业科学奖”在内的十余奖项。此外，作为农业信息技术研究的先驱者和开拓者，二宫教授多年来为包括国际农业与生物系统工程学会(International Commission of Agricultural and Biosystems Engineering, CIGR)、亚太先进网络 (Asia Pacific Advanced Network, APAN)、亚太农业信息技术联合会(Asia-Pacific Federation for Information Technology in Agriculture, AFITA)等国际学术组织做出巨大贡献，先后担任了APAN自然资源部主任，AFITA主席和CIGR执行董事会成员。

研究领域：1）多平台的基于图像的作物表型研究，包括作物生长监测，花、果实等器官检测，以及作物（及果树）的三维模型构建与分析；2）田间服务器（Field Server）研究，包括收集图像，局地气象数据，采样等；3）农业大数据研究，包括农业大数据的构建 (G+E+M+P)，机器学习等技术的应用分析。

邮箱地址：snino@isas.a.u-tokyo.ac.jp

办公地点：第三实验楼302

联系方式：025-84399631

文献著作：

1 Duan, T., B Zheng, W Guo, S Ninomiya, Y Guo, SC Chapman, Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV, Functional Plant Biology 44 (1), 2017.
2 Elisa AA, Ninomiya S, Shamshuddin J, and Roslan I., Alleviating aluminum toxicity in an acid sulfate soil from Peninsular Malaysia by calcium silicate application. Solid Earth, 7, 2016, 367-374.
3 Yamamoto, Kyosuke, Wei Guo, Seishi Ninomiya. (2016). Node Detection and Internode Length Estimation of Tomato Seedlings Based on Image Analysis and Machine Learning. Sensors 16(7), 2016, 1044 .
4 Wei Guo, Tokihiro Fukatsu,Seishi Ninomiya, Automated  characterization  of  flowering dynamics in rice using field-acquired time-series RGB images.Plant Methods , 2015, 11:7 .
5 Kyosuke Yamamoto, Seishi Ninomiya,Yoshitsugu Kimura, Atsushi Hashimoto, Yosuke Yoshioka, Takaharu Kameoka, Strawberry cultivar identification and quality evaluation on the basis of multiple fruit appearance features.Computers and Electronics in Agriculture, 110, 2015, 233-240.
6 J. Adinarayana, D. sudharsan, S. Ninomiya, M. Hirafuji and T. Kiura, GeoSense: Decision support system for precsion faming in India. Wulfenia Journal, 22(2), 2015, 22-47.
7 A.K. Tripathy, J. Adinarayana, K.Vijayalakshmi, S.N. Merchant, U.B. Desai, S. Ninomiya, M. Hirafuji, T.Kiura, Knowledge discovery and Leaf Spot dynamics of groundnut crop through wireless sensor network and data mining techniques. Computers and Electronics in Agriculture, 107, 2014, 104-114.
8 Kyosuke Yamamoto, Wei Guo, Yosuke Yoshioka, Seishi Ninomiya, On plant detection of intact tomato fruits using image analysis and machine learning  methods. Sensors, 14 (7), 2014, 12191-12206.
9 D. Sudharsan, J. Adinarayana, D. Raji Rddy, G. Sreeivas, S. Ninomiya, M. Hirafuji, T, Kiura, and K. Tanaka, Evaluation of weather-based rice yield models in India. International Journal of Biometeorology, 57 (1), 2013, 107-123.
10 A K. Tripathy, J. Adinarayana, D. Sudharsan, S. N. Merchant, U. B. Desai, K. Vijayalakshmi, D. Raji Reddy, G. Sreenivas, S. Ninomiya, M Hirafuji, T. Kiura, K. Tanaka, Data mining techniques for agriculture pest/disease prediction. Journal of Computer Information Systems and Industrial Management Applications, 5, 2013, 427-436
11 Hirafuji, N, H. Yoichi, Y. Miki, T. Kiura, T. Fukatsu, K. Tanaka, K. Matsumoto, N. Hoshi, H. Nesumi, Y. Shibuya, A. Itoh, S. Ninomiya,   Adinarayana J., Sudharsan D.,
Y. Saito, K. Kobayashi, T. Suzuk, Development of an Open Field Server and Sensor Cloud System, gricultural Information Research 22(1) 2013. 60-70.
12 Wei Guo, Uday K. Rage, Seishi Ninomiya, Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model.Computers and Electronics in Agriculture, Computers and Electronics in Agriculture, 96, August 2013, 58-66.
13 Sudharsan, D., Adinarayana, J., Tripathy, a. K., Ninomiya, S., Hirafuji, M., Kiura, T., Desai, U.B., Merchant, S.N., Reddy, D.R., Sreenivas, G, GeoSense: A multimode information and communication system. ISRN Sensor Networks, 2012, Article ID 215103, 13 pages.
14 Teramoto I., S. Ninomiya, Development of Map Image Distribution Service with       Web Map Service, Agricultural Information Research 21(4) 2012. 76-84.
15 Takashi Togami, Seishi Ninomiya, Kyosuke Yamamoto, Yumiko Mori, Toshiyuki Takasaki, Yasukazu Okano, Ryoichi Ikeda, Akane Takezaki, Takaharu Kameoka, Field and weather monitoring with youths as sensors for agricultural decision support, Agricultural information Research 21(3), 2012,65-75.
16 Tanaka, K., T. Kiura, M. Sugimura, S. Ninomiya. M. Mizoguchi, Tool for Predicting the Possibility of Rice Cultivation Using  SIMRIW,  Agricultural  information  Research 20(1), 2011, 1-12.
17 Takahashi, H., S. Yoshikawa, H. Takano, Y. Sasada, S. Ninomiya, Estimation of pollution load from theOlKayama and Kagawa basins flowing into the Seto Inland Sea in light of their basin characterristics, Japanese J. Limnology 71, 2010, 269-284.
18 Takezawa, K., Y. Yoshida, S. Ninomiya, C. Hongo, K. Tokui, A. Ito and T.  Takeshima (2009) Note on optimizing weights for multiple regression of remote sensing data, J. JASS 25(2):121-127
19 Takezawa, K., Y. Yoshida, S. Ninomiya, C. Hongo, K. Tokui, A. Ito and T. Takeshima (2008) Use of bootstrap method for regression using remote sensing data, J. JASS 24(3):167-174
20 Abdon,   B.R.,   R.   Raab  and   S.   Ninomiya  (2008)   eLearning  for international agriculture development: Dealing with challenges, International Journal of Education and Development using Information and Communication Technology (IJEDICT) 4(1)
21 Takezawa, K., S. R. Kannan, S. Ninomiya, C. Hongo, K. Tokui, A. Ito and T. Takeshima (2007) Use of weighted regression for estimating rice yield by satellite data, J. JASS 23(3):251-261
22 Yoshioka, Y., M. Honjo, H. Iwata, S. Ninomiya and R. Ohsawa (2007.8) Pattern of geographical variation in petal shape in wild populations of Primula sieboldii E.   Morren, Plant Species Biology 22 (2): 87-93
23 Yoshioka Y., H. Iwata, . Tabata, S. Ninomiya and R. Ohsawa (2007. 9) Chalkiness in Rice: Potential for Evaluation with Image Analysis, Crop Sci. 47:2113-2120
24 u, X., M. Laurenson, T. Kiura and S. Ninomiya (2007) RIAS: an Approach to provide Internet-accesible image analysis service, Agricultural Information Research 16(4): 212-218
25 Yu, X., A. Yamakawa, T. Kiura, T. Hasegawa and S. Ninomiya (2007) CROWIS: A System for sharing and integrating crop and weather data, Agricultural Information Research 16(3):124-131
26 Horyu, D. and S. Ninomiya (2007) Additional selection of extracted terms for a     specific area, Agricultural Information Research 16(2):52-59
27 Takezawa, K., S. R. Kannan, S. Ninomiya, C. Hongo, K. Tokui, A. Ito and T. Takeshima (2007) Preliminary report on regressions based on remote sensing data to estimate rice yield. J. JASS 23(2):177-187
28 Abdon, B.R., S. Ninomiya and R. Raab (2007) eLearning in Higher Education Makes Its Debut in Cambodia: Implications of the Provincial Business Education Project, (IRRODL) International Review of Research in Open  and  Distance  Learning 8(1):1-14
29 Yoshioka, Y., K. Ohashi, A. Konuma, H. Iwata, R. Ohsawa, S. Ninomiya (2007) Response of bumblebee to the shape of artificial flowers of Primula sieboldii (PRIMULACEAE). Annals of Botany 99:1175-1182.
30 Iguchi, N., Y. Motonaga, F. Uchio, S. Ninomiya  and  T.  Kameoka  (2006)  Development of a gateway-P2P-node for enhancing the function of BIX  image  broker system, Agricultural Information Research 15(2):281-292
31 Iguchi, N., Y. Motonaga, F. Uchio, S. Ninomiya and T. Kameoka (2006) Proposed XML-based standard of agricultural product image for BIX image broker system and development of P2P message handler, Agricultural Information Research 15(2):231-240
32 Iguchi, N., Y. Motonaga, F. Uchio, S. Ninomiya  and  T.  Kameoka  (2006)  Development of Image broker system using P2P for sharing agricultural product image, Agricultural Information Research 15(2):155-164
33 Iwata, H. and S. Ninomiya (2006) AntMap: Constructing genetic linkage mpas using an ant colony optimization algorithm, Breed. Sci. 567(4):371-377
34 Yoshioka, Y., H. Iwata, N. Hase, S. Matsuura, R. Ohsawa, S. Ninomiya (2006)    Genetic combining ability of petal shape in garden pansy (Viola × wittrockiana Gams) based on image analysis. Euphytica 151:311-319
35 Adinarayana, A., M. Laurenson, and S. Ninomiya (2006) Web-based Decision Support System for Rural Land Use Planning-WebLUP-a Prototype. Agricultural Engineering International, Manuscript IT 05 005. Vol. VIII
36 Yoshioka, Y. , H. Iwata, N. Fukuta, R. Ohsawa , S. Ninomiya (2006) Quantitative evaluation of petal shape and picotee color pattern in lisianthus by image analysis, Journal of the American Society for Horticultural Science 131:261-266
37 Horyu, D., T. Nanseki and S. Ninomiya (2005) Evaluation of XML formatted farming-system data, Agricultural Information Research 14 : 247-260
38 Zheng, Z., H. Iwata, S. Ninomiya and Y. Tamura (2005) Quantitative evaluation of partial shape characteristic of petal in sacred lotus based on P-type Fourier descriptors, Breeding Research 7:133-142
39 Yoshioka, Y. , A. Horisaki, K. Kobayashi ,Syafaruddin , S. Niikura, S. Ninomiya, R. Ohsawa (2005) Intraspecific variation in the ultraviolet colour proportion of flowers  in Brassica rapa L., Plant Breeding 124: 551-556
40 Yoshioka, Y. , H. Iwata, R. Ohsawa , S. Ninomiya (2005) Quantitative evaluation of the petal shape variation in Primula sieboldii caused by breeding process in the last 300 years, Heredity 94: 657-663
41 Horyu, D., T. Fukatsu, A. Otuka, T. Kiura, M. Hirafuji and S. Ninomiya (2004) Development of Japanese morphological analysis server agricultural documents    and verification through automated text categorization.Agricultural Information Research 13 : 127-138
42 Yoshioka Y, H. Iwata, R. Ohsawa and S. Ninomiya S (2004) Quantitative evaluation of flower colour pattern in a region of interest by image analysis and principal component analysis in Primula sieboldii E. Morren, Eupytica 139:179-186
43 Yoshioka Y, H. Iwata, R. Ohsawa and S. Ninomiya S (2004). Analysis of petal
shape variation of Primula sieboldii E. Morren by elliptic Fourier Descriptors and principal component analysis. Annals of Botany 94: 657－664
44 Ninomiya, S. (2004) Prospective for successful IT in agriculture, Korean Journal of Agricultural and Forest Meteorology 6 (2): 108-118
45 Horyu, D., T. Kiura and S. Ninomiya (2002) Utilization of cooperative agent systemfor sharing crop-growth data distributed on the network. Agricultural Information Research 11 : 171-180
46 Ogden, T., C.E. Miller, K. Takezawa and S. Ninomiya (2002) Functional Regression in Crop Lodging Assessment With Digital Images, Journal of Agricultural, Biological & Environmental Statistics 7:389-402
47 Laurenson, M and S. Ninomiya (2002) Successful Agricultural Decision Support Systems Agricultural Information Research 11: 5-25
48 Iwata, H., H. Nesumi, S. Ninomiya, Y. Takano and Y. Ukai (2002b) The evaluation of genotype X environment interactions of  citrus leaf morphology using image    analysis and elliptic Fourier descriptors. Breed. Sci. 52:243-252
49 Laurenson, M. R., T. Kiura and S. Ninomiya (2002) Providing agricultural models with mediated access to heterogeneous weather databases. Applied Engineering Agric. 18: 617-625
50 Iwata, H., H. Nesumi, S. Ninomiya, Y. Takano and Y. Ukai (2002a) Diallel analysis of leaf shape variations of citrus varieteis based on elliptic Fourier descriptors.      Breed. Sci. 52:89-94
51 Laurenson, M.R., A. Otuka and S. Ninomiya (2002) Developing agricultural models usnig MetBroker mediation software. J. Agric. Meteorol. 58:1-9
52 Laurenson, M.R.; Kiura, T; Ninomiya, S. (2001) A Tool for Estimating the Risk of Extreme Climatic Events. Agricultural Information Research 10 : 79-90
53 Yamanaka, N., S. Ninomiya, M. Hoshi. Y. Tsubokura, M. Yano, Y. Gagamura, T. SAsaki and KL. Harada (2001) An informative  linkage  map of soybean reveals  QTLs for flowinr time, leaflet morphology and regions of segregation distortion.       DNA Research 8:61-72
54 Laurenson, M. and S. Ninomiya (2001) Delivering a simple maize maturity and   harvest date prediction model. Agricultural Information Research 10:1-12
55 Orr, M., J. Hallam, K. Takezawa, A. Murray, S. Ninomiya and M. Oide(2000) Combining regression trees and radial basis function networks. Intl. J. Neural     Systems 10:453-465
56 Oide M. and S. Ninomiya (2000) Discrimination of soybean plant shape by linear neural network with image input. Agr. Info. Res. 9:91-102
57 Takahashi, W., Vu Nguyen-Cong, S. Kagaguchi, M. Minamiyama and S. Ninomiya (2000) Statistical models for prediction of dry weight and nitrogen accumulation based on visible and near-infrared hyper-spectral reflectance of rice canopies.Plant Production Science 3:377-386
58 Kouno,  T., K. Roy, T. Machida, S. Moriizumi and  S. Ninomiya (2000)  Visible  agriculture by FARMWEB, an advanced Web based farming database system - In case of acquiring three dimensional (3D) images of melon fruit. Agricultural Information Research 9:1-14
59 Oide M. and S. Ninomiya (2000) Discrimination of soybean leaflet shape by neural networks with image input. Computers and Electronics in Agriculgure 29:59-72
60 Oide M. and S. Ninomiya (2000) Plant shape discrimination of several taxa without shape features extraction using neural networks with image input. Breed. Sci. 50:189-196
61 Hatano, S., N. Sentoku, M. Matsuoka and S. Ninomiya (1999) Computational procedure and implementation of software for three-dimensional modeling of the  rice embryo and of expression in the embryo of the homebox gene OSH1. Bioimages 7:69-78
62 Kouno, T. S. Ninomiya, T. Machida and S. Moriizumi (1998) Development of farm-working jounarl database on WWW. Agr. Info. Res. 7:105-117
63 Ninomiya, S., M. Oide and N. Takahashi (1998) Fuzzy-Logic Search Engine for Soybean Shape Data. Jpn. J. Crop. Sci. 67:104-108
64 Imura O. and S. Ninomiya (1998) Quantitative measurement of leaf area consuption by Epilachna vigintioctopunctata (Fabricius) (Coleptera: Cocinellidae) using image processing. Appl. Entomol. Zool. 33:491-495
65 Oide M. and S. Ninomiya (1998) Evaluation of soybean plant shape by multi-layer perceptron with direct image input. Breed. Sci. 48:257-262
66 Ninomiya, S. and V. Nguyen-Cong (1998) Evaluation of soybean plant shape based on tree-based model. Breed. Sci. 48:251-256
67 Ohsawa, R., T. Tsutsumi, H. Uehara, H.  Namai  and  S.  Ninomiya  (1998)  Quantitative evaluation of common buckwheat kernel shape by elliptic Fourier  descriptor. Euphytica 101: 175-183
68 Ambuel, J., S. Ninomiya and N. Takahashi(1997) Fuzzy logic soybean plant shape evaluation. Breed Sci. 47:253-257
69 Ninomiya S., T. Kiura, K. Eto, T. Nanseki and M. Ueda (1997) Field Image acqusition system on WWW. J. SHITA 9:12-19
70 Ninomiya, S., I. Endo, G. Saito, N. Mino, S. Ogawa, K. Eto, K. Yamamoto and T. Nanseki (1997) Satellite Image Catalogue Database on WWW. J. Jpn. Agr. Sys.   Soc. 13:24-31.
71 Ninomiya S. (1996) Development of WebBBS -BBS system for WWW. Agr. Info.Res 5:85-95
72 Horyu D., S. Ninomiya and D. Suzuki (1996) WWW retrieval system with SQL for research information database. Agr. Info. Res. 5:29-38.
73 Kouno T., T. Nanseki, S. Ninomiya and S. Taniguchi (1996) Development of a       simple retrieval tool Wgrep for WWW information resources and its application for Vegitable and Fruit Variety Image Database. Agr. Info. Res. 5:1-18
74 Oide M., S. Morinaga and S. Ninomiya (1996) Selection method of supervisor data set to develop neural network evaluator on soybean plant shape. J. Jpn. Agr. Sys. Soc. 12(1):13-20
75 . Hadipoentyanti, M. Niwa, N. Furuta and S. Ninomiya (1996) Identification of Indonesian clove (Syzygium Agromaticum) population by elliptic Fourier descriptors of leaf shape. SABRAO J. 28(2): 25-34
76 Furuta, N., S. Ninomiya, N. Takahashi, H. Ohmori and Y. Ukai（1995）Quantitative
Evaluation of Soybean Leaflet Shape by Principal Component Scores based on  Elliptic Fourier Descriptor. Breed. Sci. 45:315-320
77 Omori H., N. Takahashi, Y. Takano, S. Ninomiya and K. Saio (1995) Application of Fuzzy procedure to analysis of genotype X environment interaction. Agr. Info. Res. 4:33-42
78 Oide, M., S. Ninomiya and N. Takahashi (1995) Perceptron neural network to evaluate soybean plant shape. IEEE Intl. Conf. Neural Net. Proc. IEEE:560-563
79 Eto, K. Yamamoto, T. Nanseki and S. Ninomiya (1994) Market information database NAPASS for Web for WWW. Agr. Info. Res. 3:127-141
80 Ninomiya S., K. Yara, K. Eto,  K.  Yamamoto, T.  Nanseki, T. Watanabe and H.  Ohmori (1994) Development of WWW image database system; Lotus in Japan. Agr. Info. Res. 3:109-126
81 Ninomiya S. and K. Saio (1992) Image database with enhanced analyzing system: IDEALS. Agr. Info. Res 1:23-45
82 Ninomiya, S., A. Sasaki and K. Takemura (1992) Evaluation of fineness of wrinkles on husks of malting barley (Hordeumvulgare L.) by texture analysis of digital image data. Euphytica 64.:113-121
83 Ninomiya , S., Y. Wazumi and K. Ogino (1991) Standardization of digital image by multi-step gray-scale and its application to estimation of soybean biomass. J. Jpn. Agr. Sys. Soc. 7(2):1-9
84 Ninomiya, S. and I. Shigemori (1991) Quantitative evaluation of soybean (Glycine max L. Merr) plant shape by image analysis. Japan.J. Breed. 41:485-497
85 Ninomiya S. (1984) Intraspecific variation in rhythmic laef movements in soybean (Glycine max L. Merr).Plant Cell Physiol. 25:177-183
86 Ninomiya S. (1984) Response of the rhythmic leaf movements of soybean (Glycine max L.Merr) to the light intensity of light/dark cycles.  Plant  Cell  Physiol.  25:1415-1457