On Plant Detection of Intact Tomato Fruits Using Image Analysis and Machine Learning Methods. - Kyosuke Yamamoto; Wei Guo 002; Yosuke Yoshioka; Seishi Ninomiya (Sensors, 2014)

Node Detection and Internode Length Estimation of Tomato Seedlings Based on Image Analysis and Machine Learning. - Kyosuke Yamamoto; Wei Guo 002; Seishi Ninomiya (Sensors, 2016)

EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions. - Wei Guo 002; Bangyou Zheng; Tao Duan; Tokihiro Fukatsu; Scott C. Chapman; Seishi Ninomiya (Sensors, 2017)

A simple visible and near-infrared (V-NIR) camera system for monitoring the leaf area index and growth stage of Italian ryegrass. - Xinyan Fan; Kensuke Kawamura; Wei Guo 002; Tran Dang Xuan; Jihyun Lim; Norio Yuba; Yuzo Kurokawa; Taketo Obitsu; Renlong Lv; Yoshimasa Tsumiyama; Taisuke Yasuda 001; Zuomin Wang (Comput. Electron. Agric., 2018)

An Adaptive Supervision Framework for Active Learning in Object Detection. - Sai Vikas Desai; Akshay Chandra Lagandula; Wei Guo 002; Seishi Ninomiya; Vineeth N. Balasubramanian (BMVC, 2019)

Automatic estimation of heading date of paddy rice using deep learning. - Sai Vikas Desai; Vineeth N. Balasubramanian; Tokihiro Fukatsu; Seishi Ninomiya; Wei Guo 002 (CoRR, 2019)

Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. - Akshay L. Chandra; Sai Vikas Desai; Vineeth N. Balasubramanian; Seishi Ninomiya; Wei Guo 002 (CoRR, 2019)

UAV Based Remote Sensing for Tassel Detection and Growth Stage Estimation of Maize Crop Using Multispectral Images. - Ajay Kumar; Mahesh Taparia; Pachamuthu Rajalakshmi; Wei Guo 002; Balaji Naik B; Balram Marathi; Uday B. Desai (IGARSS, 2020)

Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods. - Etienne David; Simon Madec; Pouria Sadeghi-Tehran; Helge Aasen; B. Zheng; Shouyang Liu; Norbert Kirchgeßner; Goro Ishikawa; Koichi Nagasawa; Minhajul A. Badhon; Curtis Pozniak; Benoit de Solan; et al. (CoRR, 2020)

Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey. - Akshay L. Chandra; Sai Vikas Desai; Wei Guo 002; Vineeth N. Balasubramanian (CoRR, 2020)

Intact Detection of Highly Occluded Immature Tomatoes on Plants Using Deep Learning Techniques. - Yue Mu; Tai-Shen Chen; Seishi Ninomiya; Wei Guo 002 (Sensors, 2020)

Domain Adaptation for Plant Organ Detection with Style Transfer. - Chrisbin James; Yanyang Gu; Scott C. Chapman; Wei Guo 002; Etienne David; Simon Madec; Andries B. Potgieter; Anders Eriksson (DICTA, 2021)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Irena Gao; Tony Lee; Etienne David; et al. (ICML, 2021)

Global Wheat Challenge 2020: Analysis of the competition design and winning models. - Etienne David; Franklin Ogidi; Wei Guo 002; Frédéric Baret; Ian Stavness (CoRR, 2021)

Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity. - Etienne David; Mario Serouart; Daniel Smith; Simon Madec; Kaaviya Velumani; Shouyang Liu; Xu Wang; Francisco Pinto Espinosa; Shahameh Shafiee; Izzat S. A. Tahir; Hisashi Tsujimoto; Shuhei Nasuda; et al. (CoRR, 2021)

Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution. - Kaaviya Velumani; Raul Lopez-Lozano; Simon Madec; Wei Guo 002; Joss Gillet; Alexis Comar; Frédéric Baret (CoRR, 2021)

EasyIDP: A Python Package for Intermediate Data Processing in UAV-Based Plant Phenotyping. - Haozhou Wang; Yulin Duan; Yun Shi; Yoichiro Kato; Seishi Ninomiya; Wei Guo 002 (Remote. Sens., 2021)

An Efficient Method for Estimating Wheat Heading Dates Using UAV Images. - Licheng Zhao; Wei Guo 002; Jian Wang; Haozhou Wang; Yulin Duan; Cong Wang; Wenbin Wu; Yun Shi (Remote. Sens., 2021)

Extending the WILDS Benchmark for Unsupervised Adaptation. - Shiori Sagawa; Pang Wei Koh; Tony Lee; Irena Gao; Sang Michael Xie; Kendrick Shen; Ananya Kumar; Weihua Hu; Michihiro Yasunaga; Henrik Marklund; Sara Beery; Etienne David; et al. (ICLR, 2022)

Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image - Enhancing UAV-Based Phenotyping. - Jiangsan Zhao; Ajay Kumar; Balaji Naik Banoth; Balram Marathi; Pachamuthu Rajalakshmi; Boris Rewald; Seishi Ninomiya; Wei Guo 002 (Remote. Sens., 2022)

Augmentation Method for High Intra-Class Variation Data in Apple Detection. - Huibin Li; Wei Guo 002; Guowen Lu; Yun Shi (Sensors, 2022)

Image-Based Phenotyping for Non-Destructive In Situ Rice (Oryza sativa L.) Tiller Counting Using Proximal Sensing. - Yuki Yamagishi; Yoichiro Kato; Seishi Ninomiya; Wei Guo 002 (Sensors, 2022)

Endmember-Assisted Camera Response Function Learning, Toward Improving Hyperspectral Image Super-Resolution Performance. - Jiangsan Zhao; Ying Qu 001; Seishi Ninomiya; Wei Guo 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

3D reconstruction of a group of plants by the ground multi-image photogrammetry method. - Irena Drofova; Haozhou Wang; Wei Guo 002; Martin Pospisilik; Milan Adamek; Jan Valouch (RADIOELEKTRONIKA, 2023)

Automatic Branch-Leaf Segmentation and Leaf Phenotypic Parameter Estimation of Pear Trees Based on Three-Dimensional Point Clouds. - Haitao Li; Gengchen Wu; Shutian Tao; Hao Yin; Kaijie Qi; Shaoling Zhang; Wei Guo 002; Seishi Ninomiya; Yue Mu (Sensors, 2023)

DODA: Diffusion for Object-detection Domain Adaptation in Agriculture. - Shuai Xiang; Pieter M. Blok; James Burridge; Haozhou Wang; Wei Guo 002 (CoRR, 2024)

Quantitative Genetic Aspects of Accuracy of Tree Biomass Measurement Using LiDAR. - Haruka Sano; Naoko Miura; Minoru Inamori; Yamato Unno; Wei Guo 002; Sachiko Isobe; Kazutaka Kusunoki; Hiroyoshi Iwata (Remote. Sens., 2024)

A UAV-Based Single-Lens Stereoscopic Photography Method for Phenotyping the Architecture Traits of Orchard Trees. - Wenli Zhang; Xinyu Peng; Tingting Bai; Haozhou Wang; Daisuke Takata; Wei Guo 002 (Remote. Sens., 2024)

High-throughput 3D shape completion of potato tubers on a harvester. - Pieter M. Blok; Federico Magistri; Cyrill Stachniss; Haozhou Wang; James Burridge; Wei Guo 002 (Comput. Electron. Agric., 2025)

GrapeCPNet: A self-supervised point cloud completion network for 3D phenotyping of grape bunches. - Wenli Zhang; Chao Zheng; Chenhuizi Wang; Pieter M. Blok; Haozhou Wang; Wei Guo 002 (Comput. Electron. Agric., 2025)

Improved Panicle Counting With Density-Aware Sampling and Enhanced Matching. - Tejasri Nampally; Tang Li; Wei Guo 002; P. Rajalakshmi; Balram Marathi; Uday B. Desai (IEEE Geosci. Remote. Sens. Lett., 2025)

Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms. - Junchi Zhou; Haozhou Wang; Yoichiro Kato; Tejasri Nampally; P. Rajalakshmi; M. Balram; Keisuke Katsura; Hao Lu; Yue Mu; Wanneng Yang; Yangmingrui Gao; Feng Xiao; et al. (CoRR, 2025)