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.
工程技术2区 Top、遥感2区, SCI, IF=5.0(2024)
2023
Wang, H., 2023. Studies on 3D-based plant phenotyping by multi-scale data fusion (PhD thesis). The University of Tokyo.
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.
农林科学1区Top, SCI, IF=12.0(2023)
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.
工程技术2区、遥感3区, SCI, IF=5.532(2023)
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.
工程技术2区 Top、遥感2区, SCI, IF=4.848(2021)
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.
农林科学3区、林学3区, SCI, IF=1.812(2021)
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.
工程技术2区 Top、遥感2区, SCI, IF=4.848(2021)
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.
环境科学与生态学1区 Top、生态学2区, SCI, IF=6.51(2021)
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.
农林科学2区、林学2区, IF=2.293(2021)
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.
农林科学1区 Top、农艺学1区、林学1区, SCI, IF=4.651(2020)
Wang, H., 2019. Estimating Forest Attributes from Spherical Images (MSc Forestry thesis). The University of New Brunswick.
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.
Wang, H., 2017. Extracting DBH Measurements from RGB Photo Images (BSc Ecology thesis). The Nanjing University of Forestry.
2024
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
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), 農業情報学会JSAI 2022年次大会, 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), 超分野植物科学研究会の第1回研究集会 2021, 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), 農業情報学会JSAI 2021年次大会, Zoom online, Tokyo, Japan.
Young researcher innovation award (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.
First Place for Oral Presentation in Science & Engineering
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.
专利 (Patents)
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
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.
数据 (Datasets)
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.