Bangyou Zheng

发表

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

Minhajul A. Badhon, F. Baret, I. Stavness, 2020, Plant phenomics.

Responses of wheat kernel weight to diverse allelic combinations under projected climate change conditions

B. Zheng, Keyi Wang, Yong He, 2023, Frontiers in Plant Science.

Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments

Bangyou Zheng, Scott Chapman, S. Chapman, 2013, Journal of experimental botany.

Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods

Minhajul A. Badhon, Haozhou Wang, F. Baret, 2021, Plant phenomics.

Integrating a crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning

S. Chapman, B. Zheng, Qiaomin Chen, 2022, Journal of experimental botany.

Aerial Imagery Analysis – Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy

Wei Guo, J. Watson, S. Chapman, 2018, Front. Plant Sci..

A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting

Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar, 2019, Plant phenomics.

Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle

S. Chapman, Yan Guo, T. Duan, 2017 .

Simplification of leaf surfaces from scanned data: Effects of two algorithms on leaf morphology

Yuhong Yang, Yan Guo, Yan Chen, 2016, Comput. Electron. Agric..

The value of adapting to climate change in Australian wheat farm systems: farm to cross-regional scale

S. Chapman, B. Zheng, A. Moore, 2015 .

Applications of a Hyperspectral Imaging System Used to Estimate Wheat Grain Protein: A Review

B. Zheng, Junjie Ma, Yong He, 2022, Frontiers in Plant Science.

Improving process-based crop models to better capture genotype×environment×management interactions.

Enli Wang, Zhigan Zhao, Hamish E Brown, 2019, Journal of experimental botany.

The shifting influence of drought and heat stress for crops in northeast Australia

D. Lobell, G. Hammer, K. Chenu, 2015, Global change biology.

Frost trends and their estimated impact on yield in the Australian wheatbelt

K. Chenu, S. Chapman, B. Zheng, 2015, Journal of experimental botany.

Breeding for the future: what are the potential impacts of future frost and heat events on sowing and flowering time requirements for Australian bread wheat (Triticum aestivium) varieties?

K. Chenu, S. Chapman, B. Zheng, 2012, Global change biology.

Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning

K. Chenu, S. Chapman, B. Zheng, 2022, Plant phenomics.

Integration of APSIM and PROSAIL models to develop more precise radiometric estimation of crop traits using deep learning

S. Chapman, B. Zheng, Qiaomin Chen, 2021, bioRxiv.

Unsupervised plot-scale LAI phenotyping via UAV-based imaging , modelling and 1 machine learning 2 Short title : Unsupervised plot-scale LAI phenotyping 3 4

K. Chenu, S. Chapman, B. Zheng, 2022 .

Characterization of peach tree crown by using high-resolution images from an unmanned aerial vehicle

Seishi Ninomiya, Wei Guo, Kiyoshi Honda, 2018, Horticulture Research.

Effects of climate change on the extension of the potential double cropping region and crop water requirements in Northern China

B. Zheng, Zhijuan Liu, Xiaoguang Yang, 2019, Agricultural and Forest Meteorology.

Scales of development for wheat and barley specific to either single culms or a population of culms

B. Zheng, Z. Hochman, H. Brown, 2023, European Journal of Agronomy.

A new probabilistic forecasting model for canopy temperature with consideration of periodicity and parameter variation

Q. Shao, S. Chapman, B. Zheng, 2019, Agricultural and Forest Meteorology.

Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approaches

J. Melillo, B. Zheng, Q. Zhuang, 2016, Global change biology.

APSIM Next Generation: Overcoming challenges in modernising a farming systems model

Valerie O. Snow, Dean P. Holzworth, Neil I. Huth, 2018, Environ. Model. Softw..

Do wheat breeders have suitable genetic variation to overcome short coleoptiles and poor establishment in the warmer soils of future climates?

S. Chapman, B. Zheng, G. Rebetzke, 2016, Functional plant biology : FPB.

Velocity of temperature and flowering time in wheat – assisting breeders to keep pace with climate change

K. Chenu, S. Chapman, Bangyou Zheng, 2016, Global change biology.

A field-based high-throughput method for acquiring canopy architecture using unmanned aerial vehicle images

Yan Guo, Fusang Liu, Pengcheng Hu, 2021 .

Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies

F. V. van Eeuwijk, K. Chenu, S. Chapman, 2019, Front. Plant Sci..

Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops.

S. Chapman, B. Zheng, P. Hu, 2021, Functional plant biology : FPB.

Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat

Muhammad Adeel Hassan, B. Zheng, A. Rasheed, 2019, Plant Methods.

Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding

Scott C. Chapman, Andries Potgieter, David Jordan, 2018 .

EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions

Seishi Ninomiya, Wei Guo, Tao Duan, 2017, Sensors.

Genotype-specific P-spline response surfaces assist interpretation of regional wheat adaptation to climate change

F. V. van Eeuwijk, K. Chenu, S. Chapman, 2021, in silico Plants.

Designing crops for adaptation to the drought and high‐temperature risks anticipated in future climates

G. Hammer, S. Chapman, B. Zheng, 2020 .

Crop design for specific adaptation in variable dryland production environments

Graeme L. Hammer, Greg McLean, Matthew T. Harrison, 2014, Crop and Pasture Science.

Understanding the Effects of Growing Seasons, Genotypes, and Their Interactions on the Anthesis Date of Wheat Sown in North China

B. Zheng, Ziwei Li, Yong He, 2021, Biology.

Using a gene-based phenology model to identify optimal flowering periods of spring wheat in irrigated mega-environments.

S. Chapman, B. Zheng, S. Dreisigacker, 2021, Journal of experimental botany.

Linking genetic maps and simulation to optimize breeding for wheat flowering time in current and future climates

V. Allard, S. Chapman, B. Zheng, 2020 .

Direct and Indirect Costs of Frost in the Australian Wheatbelt

K. Chenu, S. Chapman, B. Zheng, 2018, Ecological Economics.

Projected impact of future climate on water-stress patterns across the Australian wheatbelt

J. Watson, K. Chenu, S. Chapman, 2017, Journal of experimental botany.

Direct and indirect costs of frost in the Australian wheatbelt 1

K. Chenu, B. Zheng, S. Mushtaq, 2018 .

Optimizing soil-coring strategies to quantify root-length-density distribution in field-grown maize: virtual coring trials using 3-D root architecture models

Yan Guo, B. Zheng, Qian Wu, 2018, Annals of botany.

Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery

G. Hammer, S. Chapman, B. Zheng, 2021, Plant phenomics.

Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping

Jose A. Jiménez-Berni, S. Chapman, P. Jackway, 2014 .

From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize G×E Over Time

Karine Chenu, Daniela Bustos-Korts, Marcos Malosetti, 2019, Front. Plant Sci..

The Value of Tactical Adaptation to El Niño–Southern Oscillation for East Australian Wheat

K. Chenu, S. Chapman, B. Zheng, 2018, Climate.

Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis

K. Chenu, S. Chapman, B. Zheng, 2015, PloS one.

A standardized workflow to utilise a grid-computing system through advanced message queuing protocols

Bangyou Zheng, Scott C. Chapman, Edward Holland, 2016, Environ. Model. Softw..

Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes

Scott C. Chapman, Yan Guo, Pengcheng Hu, 2021, Remote. Sens..

Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV.

Wei Guo, S. Chapman, Yan Guo, 2016, Functional plant biology : FPB.

A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background

K. Chenu, S. Chapman, B. Zheng, 2023, Plant phenomics.

Identification of Earliness Per Se Flowering Time Locus in Spring Wheat through a Genome-Wide Association Study

S. Chapman, B. Zheng, M. Reynolds, 2016 .

A generic approach to modelling, allocation and redistribution of biomass to and from plant organs

Enli Wang, Hamish E Brown, Bangyou Zheng, 2019, in silico Plants.

Modelling impact of early vigour on wheat yield in dryland regions

Enli Wang, Zhigan Zhao, Greg J Rebetzke, 2019, Journal of experimental botany.

A reduced‐tillering trait shows small but important yield gains in dryland wheat production

R. Richards, G. Fitzgerald, G. O'Leary, 2020, Global change biology.

Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding

Wei Guo, Scott C. Chapman, Pengcheng Hu, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

Quantitative evaluation of influence of PROSTRATE GROWTH 1 gene on rice canopy structure based on three-dimensional structure model

B. Li, B. Zheng, Chuanqing Sun, 2016 .

Assessment of the Effects of Leaf Angle Combinations on Potential Photosynthesis Capacity of Rice with 3-D Models Using High Performance Computing

Yuntao Ma, Yan Guo, B. Li, 2009, 2009 Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications.

Isolation and sequencing of a single copy of an introgressed chromosome from a complex genome for gene and SNP identification

B. Zheng, Adam L Healey, J. Stiller, 2021, Theoretical and Applied Genetics.

McGET: A rapid image-based method to determine the morphological characteristics of gravels on the Gobi desert surface

Yiming Feng, Bangyou Zheng, B. Zheng, 2018 .

Increased wheat price spikes and larger economic inequality with 2°C global warming

B. Zheng, T. Wei, X. Cui, 2022, One Earth.

Integrating crop growth models with remote sensing for predicting biomass yield of sorghum

Neal R. Carpenter, M. Crawford, E. Delp, 2021 .