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Seishi Ninomiya
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2020 – today
- 2023
- [j13]Haitao Li, Gengchen Wu, Shutian Tao
, Hao Yin, Kaijie Qi, Shaoling Zhang, Wei Guo
, Seishi Ninomiya
, Yue Mu
:
Automatic Branch-Leaf Segmentation and Leaf Phenotypic Parameter Estimation of Pear Trees Based on Three-Dimensional Point Clouds. Sensors 23(9): 4572 (2023) - 2022
- [j12]Jiangsan Zhao
, Ajay Kumar
, Balaji Naik Banoth, Balram Marathi
, Pachamuthu Rajalakshmi, Boris Rewald
, Seishi Ninomiya
, Wei Guo
:
Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image - Enhancing UAV-Based Phenotyping. Remote. Sens. 14(5): 1272 (2022) - [j11]Yuki Yamagishi, Yoichiro Kato, Seishi Ninomiya
, Wei Guo
:
Image-Based Phenotyping for Non-Destructive In Situ Rice (Oryza sativa L.) Tiller Counting Using Proximal Sensing. Sensors 22(15): 5547 (2022) - [j10]Jiangsan Zhao
, Ying Qu
, Seishi Ninomiya, Wei Guo
:
Endmember-Assisted Camera Response Function Learning, Toward Improving Hyperspectral Image Super-Resolution Performance. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - 2021
- [j9]Haozhou Wang
, Yulin Duan, Yun Shi, Yoichiro Kato, Seishi Ninomiya
, Wei Guo
:
EasyIDP: A Python Package for Intermediate Data Processing in UAV-Based Plant Phenotyping. Remote. Sens. 13(13): 2622 (2021) - 2020
- [j8]Yue Mu
, Tai-Shen Chen, Seishi Ninomiya
, Wei Guo
:
Intact Detection of Highly Occluded Immature Tomatoes on Plants Using Deep Learning Techniques. Sensors 20(10): 2984 (2020)
2010 – 2019
- 2019
- [j7]Mamatha Alugubelly
, Krishna Reddy Polepalli, Gade Sreenivas, Seishi Ninomiya:
Analysis of similar weather conditions to improve reuse in weather-based decision support systems. Comput. Electron. Agric. 157: 154-165 (2019) - [c9]Sai Vikas Desai, Akshay Chandra Lagandula, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian:
An Adaptive Supervision Framework for Active Learning in Object Detection. BMVC 2019: 230 - [i3]Sai Vikas Desai, Vineeth N. Balasubramanian, Tokihiro Fukatsu, Seishi Ninomiya, Wei Guo:
Automatic estimation of heading date of paddy rice using deep learning. CoRR abs/1906.07917 (2019) - [i2]Sai Vikas Desai, Akshay L. Chandra, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian:
An Adaptive Supervision Framework for Active Learning in Object Detection. CoRR abs/1908.02454 (2019) - [i1]Akshay L. Chandra, Sai Vikas Desai, Vineeth N. Balasubramanian, Seishi Ninomiya, Wei Guo:
Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. CoRR abs/1910.01789 (2019) - 2017
- [j6]Wei Guo
, Bangyou Zheng, Tao Duan, Tokihiro Fukatsu, Scott C. Chapman
, Seishi Ninomiya:
EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions. Sensors 17(4): 798 (2017) - [j5]Kyosuke Yamamoto
, Takashi Togami, Norio Yamaguchi, Seishi Ninomiya:
Machine Learning-Based Calibration of Low-Cost Air Temperature Sensors Using Environmental Data. Sensors 17(6): 1290 (2017) - [c8]Alugubelly Mamatha
, P. Krishna Reddy, Anirban Mondal, Seishi Ninomiya, Gade Sreenivas:
A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditions. BDA 2017: 40-58 - 2016
- [j4]Kyosuke Yamamoto, Wei Guo
, Seishi Ninomiya:
Node Detection and Internode Length Estimation of Tomato Seedlings Based on Image Analysis and Machine Learning. Sensors 16(7): 1044 (2016) - 2015
- [j3]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. Comput. Electron. Agric. 110: 233-240 (2015) - 2014
- [j2]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): 12191-12206 (2014) - [c7]Seishi Ninomiya, Yumiko Mori, Toshiyuki Takasaki, Takaharu Kameoka, Atsuko Tanaka, Kyosuke Yamamoto, Kazuhiro Nishioka, Tran Than Thi Ngan Hoa, Akane Takezaki, Ryoichi Ikeda:
Youth-Mediated Knowledge Transfer and Data Acquisition Service for Agricultural Decision Support: A Trial for Illiterate Farmers in Vietnam. SRII Global Conference 2014: 251-253
2000 – 2009
- 2009
- [c6]Masayuki Hirafuji, Tokihiro Fukatsu, Takuji Kiura, Haoming Hu, Hideo Yoichi, Kei Tanaka, Yugo Miki, Seishi Ninomiya:
Sensor Network Architecture Based on Web and Agent for Long-Term Sustainable Observation in Open Fields. PRIMA Workshops 2009: 425-433 - 2007
- [c5]Seishi Ninomiya, Takuji Kiura, Atsushi Yamakawa, Tokihiro Fukatsu, Kei Tanaka, Hongyan Meng, Masayuki Hirafuji:
Seamless Integration of Sensor Network and Legacy Weather Databases by MetBroker. SAINT Workshops 2007: 68 - [c4]Masayuki Hirafuji, Seishi Ninomiya, Takuji Kiura, Tokihiro Fukatsu, Haoming Hu, Hideo Yoichi, Kei Tanaka, Koji Sugahara, Tomonari Watanabe, Takaharu Kameoka, Atsushi Hashimoto, Ryoei Ito, Reza Ehsani, Hiroshi Shimamura:
Field Server Projects. SAINT Workshops 2007: 75 - [c3]Atsushi Hashimoto, Ryoei Ito, Kenichi Nakanishi, Takashi Mishima, Toyokazu Hirozumi, Takaharu Kameoka, Nobukazu Iguchi, Masayuki Hirafuji, Seishi Ninomiya:
An Integrated Field Monitoring System for Sustainable and High-Quality Production of Agricultural Products Based on BIX Concept with Field Server. SAINT Workshops 2007: 76 - 2005
- [c2]Masayuki Hirafuji, Hideo Yoichi, Mitsuru Wada, Tokihiro Fukatsu, Takuji Kiura, Hiroshi Shimamura, Haoming Hu, Seishi Ninomiya:
Field server: multi-functional wireless sensor network node for earth observation. SenSys 2005: 304 - 2000
- [j1]Mark J. L. Orr, John Hallam, Kunio Takezawa, Alan F. Murray, Seishi Ninomiya, Mari Oide, Tom Leonard:
Combining Regression Trees and Radial Basis Function Networks. Int. J. Neural Syst. 10(6): 453-465 (2000)
1990 – 1999
- 1995
- [c1]Mari Oide, Seishi Ninomiya, Nobuo Takahashi:
Perceptron neural network to evaluate soybean plant shape. ICNN 1995: 560-563
Coauthor Index
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