High throughput phenotyping of cotton plant height using depth images under field conditions
暂无分享,去创建一个
[1] P. Hietz,et al. Small plants, large plants: the importance of plant size for the physiological ecology of vascular epiphytes. , 2001, Journal of experimental botany.
[2] Ulrich Schurr,et al. Future scenarios for plant phenotyping. , 2013, Annual review of plant biology.
[3] Lei Zhang,et al. A LIDAR-based crop height measurement system for Miscanthus giganteus , 2012 .
[4] Arno Ruckelshausen,et al. BreedVision — A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant Breeding , 2013, Sensors.
[5] Qamar Uz Zaman,et al. Performance evaluation of multiple ground based sensors mounted on a commercial wild blueberry harvester to sense plant height, fruit yield and topographic features in real-time , 2013 .
[6] Andreas Kolb,et al. Kinect range sensing: Structured-light versus Time-of-Flight Kinect , 2015, Comput. Vis. Image Underst..
[7] Lutz Plümer,et al. Low-Cost 3D Systems: Suitable Tools for Plant Phenotyping , 2014, Sensors.
[8] Sebastian Riedel,et al. Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping , 2014, Sensors.
[9] I. Xenarios,et al. Measuring the diurnal pattern of leaf hyponasty and growth in Arabidopsis - a novel phenotyping approach using laser scanning. , 2012, Functional plant biology : FPB.
[10] D. Tilman,et al. Global food demand and the sustainable intensification of agriculture , 2011, Proceedings of the National Academy of Sciences.
[11] Christian Riess,et al. A Comparative Error Analysis of Current Time-of-Flight Sensors , 2016, IEEE Transactions on Computational Imaging.
[12] K. Omasa,et al. 3D lidar imaging for detecting and understanding plant responses and canopy structure. , 2006, Journal of experimental botany.
[13] Jeffrey W. White,et al. Field-based phenomics for plant genetics research , 2012 .
[14] Daniel Moura,et al. In-field crop row phenotyping from 3D modeling performed using Structure from Motion , 2015, Comput. Electron. Agric..
[15] Jean-Luc Jannink,et al. Genomic selection in plant breeding: from theory to practice. , 2010, Briefings in functional genomics.
[16] George Azzari,et al. Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor , 2013, Sensors.
[17] Sagi Filin,et al. Estimating plant growth parameters using an energy minimization-based stereovision model , 2013 .
[18] Qin Zhang,et al. A Review of Imaging Techniques for Plant Phenotyping , 2014, Sensors.
[19] Jeffrey W. White,et al. Development and evaluation of a field-based high-throughput phenotyping platform. , 2013, Functional plant biology : FPB.
[20] AndújarDionisio,et al. Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops , 2016 .
[21] P. Reich,et al. New handbook for standardised measurement of plant functional traits worldwide , 2013 .
[22] Alexander Putz,et al. Rapid determination of leaf area and plant height by using light curtain arrays in four species with contrasting shoot architecture , 2014, Plant Methods.
[23] José Dorado,et al. An Approach to the Use of Depth Cameras for Weed Volume Estimation , 2016, Sensors.
[24] A. Walter,et al. Terrestrial 3D laser scanning to track the increase in canopy height of both monocot and dicot crop species under field conditions , 2016, Plant Methods.
[25] L. Xiong,et al. Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies. , 2013, Current opinion in plant biology.
[26] K. H. Kjaer,et al. 3D Laser Triangulation for Plant Phenotyping in Challenging Environments , 2015, Sensors.
[27] A. Escolà,et al. Ultrasonic and LIDAR Sensors for Electronic Canopy Characterization in Vineyards: Advances to Improve Pesticide Application Methods , 2011, Sensors.
[28] José Dorado,et al. Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops , 2016, Comput. Electron. Agric..
[29] Elise Lachat,et al. Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor) Towards a Potential Use for Close-Range 3D Modeling , 2015, Remote. Sens..
[30] J. Araus,et al. Field high-throughput phenotyping: the new crop breeding frontier. , 2014, Trends in plant science.
[31] Yi Lin,et al. LiDAR: An important tool for next-generation phenotyping technology of high potential for plant phenomics? , 2015, Comput. Electron. Agric..