Haozhou Wang (王浩舟)

王浩舟

东京大学 特任研究员

国际田间表型组学研究室

被引数 235
H指数 6

...个人简介...

研究方向

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  • 东京大学 农学博士学位 2023.09
  • 新不伦瑞克大学 林学研究型硕士学位 2019.12
  • 南京林业大学 生态学学士学位 2017.06

学术成果

代表作

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Drone-Based Harvest Data Prediction Can Reduce On-Farm Food Loss and Improve Farmer Income 3

Plant Phenomics
sci

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EasyIDP: a Python package for intermediate data processing in UAV-based plant phenotyping 27

Remote Sensing
sci

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Landscape-level vegetation classification and fractional woody and herbaceous vegetation cover estimation over the dryland ecosystems by unmanned aerial vehicle platform 36

Agricultural and Forest Meteorology
sci

所有贡献

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2025


Blok, P.M., Magistri, F., Stachniss, C., Wang, H., Burridge, J., Guo, W., 2025. High-throughput 3D shape completion of potato tubers on a harvester. Computers and Electronics in Agriculture 228, 109673.

2024


Zhang, W., Peng, X., Bai, T., Wang, H., Takata, D., Guo, W., 2024. A UAV-Based Single-Lens Stereoscopic Photography Method for Phenotyping the Architecture Traits of Orchard Trees. Remote Sensing 16, 1570.

2023


Wang, H., Tang, L., Nishida, E., Fukano, Y., Kato, Y., Guo, W., 2023. Drone-based harvest data prediction can reduce on-farm food loss and improve farmer income. Plant Phenomics 2023:5, 0086.

Drofova, I., Guo, W., Wang, H., Adamek, M., 2023. Use of scanning devices for object 3D reconstruction by photogrammetry and visualization in virtual reality. Bulletin EEI 12, 868–881.

Zhang, W., Peng, X., Cui, G., Wang, H., Takata, D., Guo, W.,2023. Tree Branch Skeleton Extraction from Drone-Based Photogrammetric Point Cloud. Drones 7, 65.

2021


Zhao, L., Guo, W., Wang, J., Wang, H., Duan, Y., Wang, C., Wu, W., Shi, Y.,2021. An Efficient Method for Estimating Wheat Heading Dates Using UAV Images. Remote Sensing 13(16), 3067.

Dai, X., Ducey, M.J., Kershaw, J.A., Wang, H., 2021. Sector subsampling for basal area ratio estimation: an alternative to big BAF sampling. Canadian Journal of Forest Research 51(8), 1–9.

Hsu, Y.-H., Kershaw, J.A., Ducey, M.J., Yang, T.-R., Wang, H., 2021. Sampling with probability proportional to prediction (3P sampling) using covariates derived from spherical images. Canadian Journal of Forest Research 51(8), 1140-1147.

Wang, H., Duan, Y., Shi, Y., Kato, Y., Ninomiya, S., Guo, W., 2021. EasyIDP: A Python Package for Intermediate Data Processing in UAV-Based Plant Phenotyping. Remote Sensing 13(13), 2622.

Feldman, A., Wang, H., Fukano, Y., Kato, Y., Ninomiya, S., Guo, W., 2021. EasyDCP: An affordable, high‐throughput tool to measure plant phenotypic traits in 3D. Methods in Ecology Evolution 12(9), 1679–1686.

Dai, X., Ducey, M.J., Wang, H., Yang, T.-R., Hsu, Y.-H., Ogilvie, J., Kershaw, J.A., 2021. Biomass estimates derived from sector subsampling of 360° spherical images. Forestry: An International Journal of Forest Research 94(4), 565–575.

Wang, H., Yang, T.-R., Waldy, J., Kershaw, J.A., 2021. Estimating Individual Tree Heights DBHs from Vertically Displaced Spherical Image Pairs. Mathematical and Computational Forestry & Natural-Resource Sciences 13(1), 1-14.

2020


Wang, H., Kershaw, J.A., Yang, T.-R., Hsu, Y.-H., Ma, X., Chen, Y., 2020. An Integrated System for Estimating Forest Basal Area from Spherical Images. Mathematical and Computational Forestry & Natural-Resource Sciences 12(0), 0–14.

Before 2020


Wang, H., Han, D., Mu, Y., Jiang, L., Yao, X., Bai, Y., Lu, Q., Wang, F., 2019. Landscape-level vegetation classification and fractional woody and herbaceous vegetation cover estimation over the dryland ecosystems by unmanned aerial vehicle platform. Agricultural and Forest Meteorology 278, 107665.

Han, D., Wang, H., Zheng B., Wang, F., 2018. Vegetation type classification and fractional vegetation coverage estimation for an open elm (Ulmus pumila ) woodland ecosystem during a growing season based on an unmanned aerial vehicle platform coupled with decision tree algorithms (基于无人机和决策树算法的榆树疏林草原植被类型划分和覆盖度生长季动态估计). Acta Ecologica Sinica (生态学报) 38(18), 6655-6663.

2024


Wang, H., Inoshishi S., Shimizu M., Kato T., Guo, W. Nov 6-8, 2024. Drone-Based Multi-spectral Pipeline for Detecting AbnormalPotato Strains in the Field (oral), The 14th Asia-Pacific Federation for Information Technology in Agriculture 2024 (APFITA2024), Tsukuba International Congress Center, Tsukuba, Japan

Wang, H., Blok M. P., Burridge J., Jiang T., Guo, W. May 19-23, 2024. 3DPotatoTwin: Paired 3D Dataset of Potato Tubers for Plant Phenotyping Applications (poster), The 6th CIGR International Conference 2024 (CIGR2024), Jeju International Convention Center (ICC JEJU), Jeju, Korea
award

2023


Wang, H., Tang, L., Nishida, E., Fukano, Y., Kato, Y., Guo, W. Nov 10-15, 2023. Virtual Broccoli Farmland Implementation by Drone-based Phenotyping and Cross-scale Data Fusion (oral), The 10th International Horticulture Research Conference (IHRC2023), Guangzhou, China.

Wang, H., Tang, L., Nishida, E., Fukano, Y., Kato, Y., Guo, W. July 3-5, 2023. Virtual broccoli farmland by fusing close-range and aerial phenotyping (oral), Fifth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS2023), Sarabetsu Village, Hokkaido, Japan.

2022


Wang, H., Tang, L., Nishida, E., Fukano, Y., Kato, Y., Guo, W. Sept 27-30, 2022. Estimate Optimal Harvest Time by Cross-scale Assimilated Digital Broccoli Farmland (poster), 7th International Plant Phenotyping Symposium: "Plant Phenotyping for a Sustainable Future", Wageningen, Netherlands.

Wang, H., Kato, Y., Guo, W. May 21-22, 2022. Procedural Geometric Modeling for Plant Phenomics by Blender: Case Study of Maize (oral), Annual Conference of the Japanese Society of Agricultural Informatics 2022 (農業情報学会2022年次大会, JSAI2022), Kyoto, Japan.

2021


Wang, H., Tang, L., Nishida, E., Fukano, Y., Kato, Y., Guo, W. July 20-22, 2021. Cost-efficient broccoli head phenotyping using aerial imagery and SfM-based weakly supervised learning (poster), The 8th International Horticulture Research Conference, Nanjing, Jiangsu, China.

Wang, H., Kato, Y., Guo, W., June 3-4, 2021. EasyIDP: A python package for intermediate data processing in UAV based plant phenotyping (poster), The 1th Research Meeting of Society of Trans-disciplinary Plant Sciences (超分野植物科学研究会第1回研究集会, TDPS2021), Zoom online, Tokyo, Japan.

Wang, H., Kato, Y., Guo, W., May 22, 2021. EasyIDP: A python package for intermediate data processing in UAV based plant phenotyping (poster), Annual Conference of the Japanese Society of Agricultural Informatics 2021 (農業情報学会2021年次大会, JSAI2021), Zoom online, Tokyo, Japan.
若手研究者イノベーション賞

2020


Feldman, A., Wang, H., Fukano, Y., Kato, Y., Ninomiya, S., Guo, W., February 24-27, 2020. Affordable high-throughput processing of handheld camera images of container plants to phenotypic data (poster), Phenome 2020, Tucson Convention Center, Tucson, Arizona, U.S.

Before 2020


Feldman, A., Wang, H., Fukano, Y., Guo, W., October 22-25, 2019. Affordable high-throughput processing of multi-scale images to phenotypic data (poster). The 6th International Plant Phenotyping Symposium, Nanjing Dongjiao State Guesthouse, Nanjing, Jiangsu, China.

Wang, H., Kershaw, J.A., June 23-25, 2019. Estimating Forest Attributes from Spherical Images (oral & poster). The Western Mensurationists 2019 Annual Meeting, Kamloops Hotel and Conf. Center, Kamloops, British Columbia, Canada.

Wang, H., Kershaw, J.A., March 23, 2018. Measuring Plant Area Index (PAI) from panorama photo images (oral). The 25th Annual UNB Graduate Research Conference (GRC), Wu Conference Center, Fredericton, New Brunswick, Canada.
award

Wang, H., Kershaw, J.A., November 5-7, 2017. Extracting DBH Measurements from RGB Photo Images (oral). The Northeastern Mensurationists 2017 Annual Meeting, The Inn at Saratoga. Saratoga Springs, New York, U.S.

Wang, H., Wang, F., Yao, X., Mu, Y., Bai, Y., Lu, Q., August 20-25, 2017. UAV-HiRAP: A novel method to improve landscape-level vegetation classification and coverage fraction estimation with unmanned aerial vehicle platform (oral). The 12th International Congress of Ecological (INTECOL), China National Convention Center, Beijing, China.

毕业论文


Wang, H., 2023. Studies on 3D-based plant phenotyping by multi-scale data fusion (PhD thesis). The University of Tokyo.

毕业论文


Wang, H., 2019. Estimating Forest Attributes from Spherical Images (MSc Forestry thesis). The University of New Brunswick.

毕业论文


Wang, H., 2017. Extracting DBH Measurements from RGB Photo Images (BSc Ecology thesis). The Nanjing University of Forestry.

书籍章节


Wang, H., Guo, W., 2024. EasyIDP V2.0: An Intermediate Data Processing Package for Photogrammetry-Based Plant Phenotypin, in: Raval, M.S., Chaudhary, S., Adinarayana, J., Guo, W. (Eds.), Harnessing Data Science for Sustainable Agriculture and Natural Resource Management, Studies in Big Data. Springer Nature Singapore, Singapore, pp. 149–172.

专利


王锋,韩东,王浩舟,卢琦,潘绪斌,一种基于无人机的景观尺度植被覆盖度的计算方法及系统:2019. CN 201610913357

数据集


David, E., Serouart, M., Smith, D., Madec, S., Velumani, K., Liu, S., Wang, X., Espinosa, F.P., Shafiee, S., Tahir, I.S.A., Tsujimoto, H., Nasuda, S., Zheng, B., Kichgessner, N., Aasen, H., Hund, A., Sadhegi-Tehran, P., Nagasawa, K., Ishikawa, G., Dandrifosse, S., Carlier, A., Mercatoris, B., Kuroki, K., Wang, H., Ishii, M., Badhon, M.A., Pozniak, C., LeBauer, D.S., Lilimo, M., Poland, J., Chapman, S., de Solan, B., Baret, F., Stavness, I., Guo, W., 2021. Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods.

软件


无人机高精度影像分析平台[简称: UAV-HiRAP] v3.0, 2019. 软著登字第 2019SR0286422.

无人机高精度影像分析平台[简称: UAV-HiRAP] v2.0, 2017. 软著登字第 2017SR558256.

无人机高精度影像分析平台[简称: UAV-HiRAP] v1.0, 2016. 软著登字第 2016SR198498.

Yaira 实测数据多维可视化软件[简称:Yaira] v1.0, 2016. 软著登字第 2016SR178462.

研究项目与软件

东京大学

EasyIDP

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东京大学

EasyDCP

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新不伦瑞克大学

Spherical2TreeAttributes

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中国林业科学研究院

UAV-HiRAP

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履历时间线


|
2023.10
2020.10-

东京大学

特任研究员

...

2023.09
|
2020.04
2020.04-2023.09

东京大学

农学博士

...

2019.12
|
2017.09
2017.09-2019.12

新不伦瑞克大学

林学研究型硕士

...

2016.08
|
2016.05
2016.05-2016.08

中国林业科学研究院

实习

...

2017.06
|
2013.09
2013.09-2017.06

南京林业大学

生态学学士

...

获奖情况

若手支援金
2024.05
若手研究者イノベーション賞
2021.05
第八届梁希青年论文奖三等奖
2020.11
第25届UNB研究生学会科学与工程分会演讲一等奖
2018.05