The F-R Model of Teaching in Chinese Universities. - Hui Zhao; Yanbo Huang; Jing Zhang (Edutainment, 2008)

Advances in Artificial Neural Networks - Methodological Development and Application. - Yanbo Huang (Algorithms, 2009)

Determining optimal storage of field sampled cotton leaves for hyperspectral analysis. - Matthew A. Lee; Yanbo Huang; Haibo Yao; Lori M. Bruce (WHISPERS, 2013)

Cluster analysis of citrus genotypes using near-infrared spectroscopy. - Qiuhong Liao; Yanbo Huang; Shaolan He; Rangjin Xie; Qiang Lv; Shilai Yi; Yongqiang Zheng; Xi Tian; Lie Deng; Chun Qian (Intell. Autom. Soft Comput., 2013)

Applying computational intelligence methods to modeling and predicting common bean germination rates. - André Bianconi; Michael J. Watts; Yanbo Huang; Adriane Beatriz de Souza Serapião; José Silvio Govone; X. Mi; Gustavo Habermann; Alessandro Ferrarini (IJCNN, 2014)

Early detection of crop injury from herbicide glyphosate by leaf biochemical parameter inversion. - Feng Zhao 008; Yiqing Guo; Yanbo Huang; Krishna N. Reddy; Matthew A. Lee; Reginald S. Fletcher; Steven J. Thomson (Int. J. Appl. Earth Obs. Geoinformation, 2014)

Early Detection of Crop Injury from Glyphosate on Soybean and Cotton Using Plant Leaf Hyperspectral Data. - Feng Zhao 008; Yanbo Huang; Yiqing Guo; Krishna N. Reddy; Matthew A. Lee; Reginald S. Fletcher; Steven J. Thomson (Remote. Sens., 2014)

Determining the Effects of Storage on Cotton and Soybean Leaf Samples for Hyperspectral Analysis. - Matthew A. Lee; Yanbo Huang; Haibo Yao; Steven J. Thomson; Lori Mann Bruce (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Application of Spatial Reasoning in Predicting Rainfall Situation for Two Disjoint Areas. - Jian Li; Yanbo Huang; Rujing Yao; Yuanyuan Zhang (CCTA (2), 2015)

A Systematic Method for Quantitative Diameter Analysis of Sprayed Pesticide Droplets. - Wei Ma; Xiu Wang; Lijun Qi; Yanbo Huang (CCTA (2), 2015)

Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion. - Feng Zhao 008; Yiqing Guo; Yanbo Huang; Wout Verhoef; Christiaan van der Tol; Bo Dai 015; Liangyun Liu; Huijie Zhao; Guang Liu 001 (Remote. Sens., 2015)

Jointly Assimilating MODIS LAI and ET Products Into the SWAP Model for Winter Wheat Yield Estimation. - Jianxi Huang; Hongyuan Ma; Wei Su 003; Xiaodong Zhang 016; Yanbo Huang; Jinlong Fan; Wenbin Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Detection of crop herbicide injury through plant hyperspectral remote sensing of chlorophyll fluorescence. - Yanbo Huang; Haibo Yao; Feng Zhao 008; Krishna N. Reddy (IGARSS, 2017)

Noise-Resistant Spectral Features for Retrieving Foliar Chemical Parameters. - Jingcheng Zhang; Yanbo Huang; Zhenhai Li; Peng Liu; Lin Yuan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Social-aware Jamming Allocation for Physical-layer Security in D2D Multicast Network. - Shiwei Yan; Yong Shang; Yanbo Huang (CNS, 2018)

Compromised Secrecy Region with Adaptive Jamming for Heterogeneous Cellular Networks and Social Relationship Model. - Shiwei Yan; Yong Shang; Yanbo Huang (VTC Fall, 2018)

Secrecy Rate Optimization of Cellular Networks with Jamming Based on Imperfect Wiretap CSI. - Ming Zhang 004; Yong Shang; Shiwei Yan; Yanbo Huang (VTC Spring, 2019)

A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status. - Xianfeng Zhou; Wenjiang Huang; Jingcheng Zhang; Weiping Kong; Raffaele Casa; Yanbo Huang (Int. J. Appl. Earth Obs. Geoinformation, 2019)

A new spray deposition pattern measurement system based on spectral analysis of a fluorescent tracer. - Yao Wen; Ruirui Zhang 001; Liping Chen; Yanbo Huang; Tongchuan Yi; Gang Xu; Longlong Li; Andrew John Hewitt (Comput. Electron. Agric., 2019)

Detection of anthracnose in tea plants based on hyperspectral imaging. - Lin Yuan; Peng Yan; Wenyan Han; Yanbo Huang; Bin Wang; Jingcheng Zhang; Haibo Zhang; Zhiyan Bao (Comput. Electron. Agric., 2019)

Monitoring plant diseases and pests through remote sensing technology: A review. - Jingcheng Zhang; Yanbo Huang; Ruiliang Pu; Pablo González-Moreno; Lin Yuan; Kaihua Wu; Wenjiang Huang (Comput. Electron. Agric., 2019)

Near-Real-Time Flood Forecasting Based on Satellite Precipitation Products. - Nasreddine Belabid; Feng Zhao 008; Luca Brocca; Yanbo Huang; Yumin Tan (Remote. Sens., 2019)

Preliminary Study of Wavelength Positions of Leaf Fluorescence Peaks with Experimental Data. - Feng Zhao 008; Jiahao Yuan; Yanbo Huang; Troy S. Magney; Albert Porcar-Castell (IGARSS, 2020)

Retrieval of Solar-Induced Chlorophyll Fluorescence at Red Spectral Peak with Tropomi on Sentinel-5 Precursor. - Feng Zhao 008; Jun Zhao; Weiwei Ma; Yanbo Huang; Ratchanon Naksomboon; Zhenjiang Li (IGARSS, 2020)

Evaluation of Efficacy of Fungicides for Control of Wheat Fusarium Head Blight Based on Digital Imaging. - Dongyan Zhang 001; Zhicun Wang; Ning Jin; Chunyan Gu 001; Yu Chen; Yanbo Huang (IEEE Access, 2020)

Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield. - Jianxi Huang; Wen Zhuo; Ying Li 048; Ran Huang; Fernando Sedano; Wei Su 003; Jinwei Dong; Liyan Tian; Yanbo Huang; Dehai Zhu; Xiaodong Zhang 016 (Int. J. Digit. Earth, 2020)

Assessment of Leaf Chlorophyll Content Models for Winter Wheat Using Landsat-8 Multispectral Remote Sensing Data. - Xianfeng Zhou; Jingcheng Zhang; Dongmei Chen; Yanbo Huang; Weiping Kong; Lin Yuan; Huichun Ye; Wenjiang Huang (Remote. Sens., 2020)

Evaluating Convolutional Neural Networks for Cage-Free Floor Egg Detection. - Guoming Li; Yan Xu 003; Yang Zhao 032; Qian Du 001; Yanbo Huang (Sensors, 2020)

A User Access Method Based on Game Theory in UDN Considering PLS and NOMA. - Yanbo Huang; Ming Zhang; Yong Shang (VTC Spring, 2021)

Improving Potato Yield Prediction by Combining Cultivar Information and UAV Remote Sensing Data Using Machine Learning. - Dan Li; Yuxin Miao; Sanjay K. Gupta; Carl J. Rosen; Fei Yuan 004; Chongyang Wang; Li Wang 081; Yanbo Huang (Remote. Sens., 2021)

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review. - Guoming Li; Yanbo Huang; Zhiqian Chen; Gray D. Chesser Jr.; Joseph L. Purswell; John Linhoss; Yang Zhao 032 (Sensors, 2021)

Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review. - Yuzhen Lu; Dong Chen 016; Ebenezer Olaniyi; Yanbo Huang (Comput. Electron. Agric., 2022)

Detection and discrimination of disease and insect stress of tea plants using hyperspectral imaging combined with wavelet analysis. - Xiaohu Zhao; Jingcheng Zhang; Yanbo Huang; Yangyang Tian; Lin Yuan (Comput. Electron. Agric., 2022)

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review. - Ebenezer Olaniyi; Dong Chen; Yuzhen Lu; Yanbo Huang (CoRR, 2022)

Retrieval of Red Solar-Induced Chlorophyll Fluorescence With TROPOMI on the Sentinel-5 Precursor Mission. - Feng Zhao 008; Weiwei Ma; Philipp Köhler; Xinxin Ma; Haochen Sun; Wout Verhoef; Jun Zhao; Yanbo Huang; Zhenjiang Li; Adib Khondoker Ratul (IEEE Trans. Geosci. Remote. Sens., 2022)

Label-efficient learning in agriculture: A comprehensive review. - Jiajia Li; Dong Chen 016; Xinda Qi; Zhaojian Li; Yanbo Huang; Daniel D. Morris; Xiaobo Tan (Comput. Electron. Agric., 2023)

On Optimization of Traditional Chinese Character Recognition. - Yanbo Huang; Subrota Kumar Mondal; Yuning Cheng; Chengwei Wang (SSE, 2024)

Analysis of the Corrective Effects of 3D Printed Orthotic Insoles on Mild Compensatory Scoliosis. - Yanbo Huang; Bide Xu; Hao Wu; Han Yan; Jinwu Wu; Yunzhang Cheng (i-CREATe, 2024)

A Comparative Study of Deep Reinforcement Learning for Crop Production Management. - Joseph Balderas; Dong Chen 016; Yanbo Huang; Li Wang 033; Ren-Cang Li (CoRR, 2024)

Synthetic data augmentation by diffusion probabilistic models to enhance weed recognition. - Dong Chen 016; Xinda Qi; Yu Zheng; Yuzhen Lu; Yanbo Huang; Zhaojian Li (Comput. Electron. Agric., 2024)

Localized Sequential Component Selection and Matching Scheme Based on Control Protection Collaboration. - Di Cheng; Qunshan Li; Yang Wang; Yanbo Huang; Zheng Yang; Tao Kang; Fanrong Wei; Xiangning Lin (IEEE Access, 2025)

Impact of sampling techniques on crop type mapping using multi-temporal composites from Harmonized Landsat-Sentinel images. - Uilson R. V. Aires; Vitor S. Martins; Lucas B. Ferreira; Yanbo Huang; Lucas Heintzman; Ying Ouyang (Comput. Electron. Agric., 2025)

Integrating reinforcement learning and large language models for crop production process management optimization and control through a new knowledge-based deep learning paradigm. - Dong Chen 016; Yanbo Huang (Comput. Electron. Agric., 2025)

Explainable machine learning models for corn yield prediction using UAV multispectral data. - Chandan Kumar; Jagman Dhillon; Yanbo Huang; Krishna Reddy (Comput. Electron. Agric., 2025)

Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign. - Md. Mehedi Farhad; Volkan Yusuf Senyurek; Mohammad Abdus Shahid Rafi; Sriman Bidhan Baray; Cary McCraine; Lee A. Hathcock; Ardeshir Adeli; Yanbo Huang; Ali Cafer Gürbüz; Mehmet Kurum (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Context-Aware Deep Learning Model for Yield Prediction in Potato Using Time-Series UAS Multispectral Data. - Suraj A. Yadav; Xin Zhang 085; Nuwan Wijewardane; Max Feldman; Ruijun Qin; Yanbo Huang; Sathishkumar Samiappan; Wyatt Young; Francisco G. Tapia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart Agriculture. - Long Li; Jiajia Li; Dong Chen; Lina Pu; Haibo Yao; Yanbo Huang (CoRR, 2025)

CottonSim: Development of an autonomous visual-guided robotic cotton-picking system in the Gazebo. - Thevathayarajh Thayananthan; Xin Zhang; Yanbo Huang; Jingdao Chen; Nuwan Wijewardane; Vitor S. Martins; Gary D. Chesser; Christopher T. Goodin (CoRR, 2025)