Automatic Branch-Leaf Segmentation and Leaf Phenotypic Parameter Estimation of Pear Trees Based on Three-Dimensional Point Clouds.

Seishi Ninomiya

Haitao Li Gengchen Wu Shutian Tao Hao Yin Kaijie Qi Shaoling Zhang Wei Guo 0002 Seishi Ninomiya Yue Mu Automatic Branch-Leaf Segmentation and Leaf Phenotypic Parameter Estimation of Pear Trees Based on Three-Dimensional Point Clouds. 4572 2023 23 Sensors 9 https://doi.org/10.3390/s23094572 db/journals/sensors/sensors23.html#LiWTYQZ0NM23

Jiangsan Zhao Ajay Kumar Balaji Naik Banoth Balram Marathi Pachamuthu Rajalakshmi Boris Rewald Seishi Ninomiya Wei Guo 0002 Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image - Enhancing UAV-Based Phenotyping. 1272 2022 14 Remote. Sens. 5 https://doi.org/10.3390/rs14051272 db/journals/remotesensing/remotesensing14.html#ZhaoKBMRRNG22

Yuki Yamagishi Yoichiro Kato Seishi Ninomiya Wei Guo 0002 Image-Based Phenotyping for Non-Destructive In Situ Rice (Oryza sativa L.) Tiller Counting Using Proximal Sensing. 5547 2022 22 Sensors 15 https://doi.org/10.3390/s22155547 db/journals/sensors/sensors22.html#YamagishiKNG22

Jiangsan Zhao Ying Qu 0001 Seishi Ninomiya Wei Guo 0002 Endmember-Assisted Camera Response Function Learning, Toward Improving Hyperspectral Image Super-Resolution Performance. 1-14 2022 60 IEEE Trans. Geosci. Remote. Sens. https://doi.org/10.1109/TGRS.2022.3182425 db/journals/tgrs/tgrs60.html#ZhaoQNG22

Haozhou Wang Yulin Duan Yun Shi Yoichiro Kato Seishi Ninomiya Wei Guo 0002 EasyIDP: A Python Package for Intermediate Data Processing in UAV-Based Plant Phenotyping. 2622 2021 13 Remote. Sens. 13 https://doi.org/10.3390/rs13132622 https://www.wikidata.org/entity/Q113204580 db/journals/remotesensing/remotesensing13.html#WangDSKNG21

Yue Mu Tai-Shen Chen Seishi Ninomiya Wei Guo 0002 Intact Detection of Highly Occluded Immature Tomatoes on Plants Using Deep Learning Techniques. 2984 2020 20 Sensors 10 https://doi.org/10.3390/s20102984 https://www.wikidata.org/entity/Q95928642 db/journals/sensors/sensors20.html#MuCNG20

Mamatha Alugubelly Krishna Reddy Polepalli Gade Sreenivas Seishi Ninomiya Analysis of similar weather conditions to improve reuse in weather-based decision support systems. 154-165 2019 157 Comput. Electron. Agric. https://doi.org/10.1016/j.compag.2018.12.010 db/journals/cea/cea157.html#MamathaRSN19

Sai Vikas Desai Akshay Chandra Lagandula Wei Guo 0002 Seishi Ninomiya Vineeth N. Balasubramanian An Adaptive Supervision Framework for Active Learning in Object Detection. 230 2019 BMVC https://bmvc2019.org/wp-content/uploads/papers/0921-paper.pdf conf/bmvc/2019 db/conf/bmvc/bmvc2019.html#DesaiLGNB19

Sai Vikas Desai Vineeth N. Balasubramanian Tokihiro Fukatsu Seishi Ninomiya Wei Guo 0002 Automatic estimation of heading date of paddy rice using deep learning. 2019 abs/1906.07917 CoRR http://arxiv.org/abs/1906.07917 db/journals/corr/corr1906.html#abs-1906-07917

Sai Vikas Desai Akshay L. Chandra Wei Guo 0002 Seishi Ninomiya Vineeth N. Balasubramanian An Adaptive Supervision Framework for Active Learning in Object Detection. 2019 abs/1908.02454 CoRR http://arxiv.org/abs/1908.02454 db/journals/corr/corr1908.html#abs-1908-02454

Akshay L. Chandra Sai Vikas Desai Vineeth N. Balasubramanian Seishi Ninomiya Wei Guo 0002 Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. 2019 abs/1910.01789 CoRR http://arxiv.org/abs/1910.01789 db/journals/corr/corr1910.html#abs-1910-01789

Wei Guo 0002 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. 798 2017 17 Sensors 4 https://doi.org/10.3390/s17040798 https://www.wikidata.org/entity/Q33649528 db/journals/sensors/sensors17.html#GuoZDFCN17

Kyosuke Yamamoto Takashi Togami Norio Yamaguchi Seishi Ninomiya Machine Learning-Based Calibration of Low-Cost Air Temperature Sensors Using Environmental Data. 1290 2017 17 Sensors 6 https://doi.org/10.3390/s17061290 https://www.wikidata.org/entity/Q33856512 db/journals/sensors/sensors17.html#YamamotoTYN17

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. 40-58 2017 BDA https://doi.org/10.1007/978-3-319-72413-3_3 conf/bigda/2017 db/conf/bigda/bigda2017.html#MamathaRMNS17

Kyosuke Yamamoto Wei Guo 0002 Seishi Ninomiya Node Detection and Internode Length Estimation of Tomato Seedlings Based on Image Analysis and Machine Learning. 1044 2016 16 Sensors 7 https://doi.org/10.3390/s16071044 https://www.wikidata.org/entity/Q42387164 db/journals/sensors/sensors16.html#YamamotoGN16

Kyosuke Yamamoto Seishi Ninomiya Yoshitsugu Kimura Atsushi Hashimoto 0003 Yosuke Yoshioka Takaharu Kameoka Strawberry cultivar identification and quality evaluation on the basis of multiple fruit appearance features. 233-240 2015 110 Comput. Electron. Agric. https://doi.org/10.1016/j.compag.2014.11.018 db/journals/cea/cea110.html#YamamotoNKHYK15

Kyosuke Yamamoto Wei Guo 0002 Yosuke Yoshioka Seishi Ninomiya On Plant Detection of Intact Tomato Fruits Using Image Analysis and Machine Learning Methods. 12191-12206 2014 14 Sensors 7 https://doi.org/10.3390/s140712191 https://www.wikidata.org/entity/Q34210144 db/journals/sensors/sensors14.html#YamamotoGYN14

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. 251-253 2014 SRII Global Conference https://doi.org/10.1109/SRII.2014.44 https://doi.ieeecomputersociety.org/10.1109/SRII.2014.44 conf/srii/2014 db/conf/srii/srii2014.html#NinomiyaMTKTYNHTI14 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. 425-433 2009 PRIMA Workshops https://doi.org/10.1007/978-3-642-16098-1_27 conf/prima/2009w db/conf/prima/prima2009w.html#HirafujiFKHYTMN09 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. 68 2007 conf/saint/2007w SAINT Workshops https://doi.org/10.1109/SAINT-W.2007.95 https://doi.ieeecomputersociety.org/10.1109/SAINT-W.2007.95 db/conf/saint/saint2007w.html#NinomiyaKYFTMH07 Masayuki Hirafuji Seishi Ninomiya Takuji Kiura Tokihiro Fukatsu Haoming Hu Hideo Yoichi Kei Tanaka Koji Sugahara Tomonari Watanabe Takaharu Kameoka Atsushi Hashimoto 0003 Ryoei Ito Reza Ehsani Hiroshi Shimamura Field Server Projects. 75 2007 conf/saint/2007w SAINT Workshops https://doi.org/10.1109/SAINT-W.2007.48 https://doi.ieeecomputersociety.org/10.1109/SAINT-W.2007.48 db/conf/saint/saint2007w.html#HirafujiNKFHYTSWKHIES07 Atsushi Hashimoto 0003 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. 76 2007 conf/saint/2007w SAINT Workshops https://doi.org/10.1109/SAINT-W.2007.24 https://doi.ieeecomputersociety.org/10.1109/SAINT-W.2007.24 db/conf/saint/saint2007w.html#HashimotoINMHKIHN07 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. 304 2005 conf/sensys/2005 SenSys https://doi.org/10.1145/1098918.1098969 db/conf/sensys/sensys2005.html#HirafujiYWFKSHN05

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. 453-465 2000 10 Int. J. Neural Syst. 6 https://doi.org/10.1142/S0129065700000363 https://www.wikidata.org/entity/Q39564205 db/journals/ijns/ijns10.html#OrrHTMNOL00

Mari Oide Seishi Ninomiya Nobuo Takahashi Perceptron neural network to evaluate soybean plant shape. 560-563 1995 ICNN https://doi.org/10.1109/ICNN.1995.488240 conf/icnn/1995 db/conf/icnn/icnn1995.html#OideNT95 Mamatha AlugubellyAlugubelly Mamatha Vineeth N. Balasubramanian Balaji Naik Banoth Akshay L. ChandraAkshay Chandra Lagandula Scott C. Chapman Tai-Shen Chen Sai Vikas Desai Tao Duan Yulin Duan Reza Ehsani Tokihiro Fukatsu Wei Guo 0002 John Hallam Atsushi Hashimoto 0003 Masayuki Hirafuji Toyokazu Hirozumi Tran Than Thi Ngan Hoa Haoming Hu Nobukazu Iguchi Ryoichi Ikeda Ryoei Ito Takaharu Kameoka Yoichiro Kato Yoshitsugu Kimura Takuji Kiura Ajay Kumar Tom Leonard Haitao Li Balram Marathi Hongyan Meng Yugo Miki Takashi Mishima Anirban Mondal Yumiko Mori Yue Mu Alan F. Murray Kenichi Nakanishi Kazuhiro Nishioka Mari Oide Mark J. L. Orr Kaijie Qi Ying Qu 0001 Pachamuthu Rajalakshmi P. Krishna ReddyKrishna Reddy Polepalli Boris Rewald Yun Shi Hiroshi Shimamura Gade Sreenivas Koji Sugahara Nobuo Takahashi Toshiyuki Takasaki Akane Takezaki Kunio Takezawa Atsuko Tanaka Kei Tanaka Shutian Tao Takashi Togami Mitsuru Wada Haozhou Wang Tomonari Watanabe Gengchen Wu Yuki Yamagishi Norio Yamaguchi Atsushi Yamakawa Kyosuke Yamamoto Hao Yin Hideo Yoichi Yosuke Yoshioka Shaoling Zhang Jiangsan Zhao Bangyou Zheng