Bison‐Fly: An open‐source UAV pipeline for plant breeding data collection
暂无分享,去创建一个
[1] Ashutosh Kumar Singh,et al. UAS-Based Plant Phenotyping for Research and Breeding Applications , 2021, Plant phenomics.
[2] Ce Yang,et al. A review on plant high-throughput phenotyping traits using UAV-based sensors , 2020, Comput. Electron. Agric..
[3] Alfonso Gómez-Espinosa,et al. Real-time kinematics applied at unmanned aerial vehicles positioning for orthophotography in precision agriculture , 2020, Comput. Electron. Agric..
[4] Uwe Scholz,et al. Enabling reusability of plant phenomic datasets with MIAPPE 1.1 , 2020, The New phytologist.
[5] Uwe Scholz,et al. BrAPI—an application programming interface for plant breeding applications , 2019, Bioinform..
[6] Vijay Kumar,et al. OpenUAV: A UAV Testbed for the CPS and Robotics Community , 2018, 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS).
[7] Hao Yang,et al. Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives , 2017, Front. Plant Sci..
[8] Baofeng Su,et al. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications , 2017, J. Sensors.
[9] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[10] Lei Tian,et al. Method for automatic georeferencing aerial remote sensing (RS) images from an unmanned aerial vehicle (UAV) platform , 2011 .
[11] W. Fehr. Principles of Cultivar Development: Theory and Technique , 1987 .
[12] Jeffrey B. Endelman,et al. FIELDimageR: An R package to analyze orthomosaic images from agricultural field trials , 2020, The Plant Phenome Journal.
[13] S. Popescu,et al. Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems , 2019, The Plant Phenome Journal.
[14] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .