In vivo human-like robotic phenotyping of leaf traits in maize and sorghum in greenhouse
暂无分享,去创建一个
Yufeng Ge | Santosh K. Pitla | James C. Schnable | Abbas Atefi | Y. Ge | A. Atefi | James c. Schnable
[1] Yufeng Ge,et al. NU-Spidercam: A large-scale, cable-driven, integrated sensing and robotic system for advanced phenotyping, remote sensing, and agronomic research , 2019, Comput. Electron. Agric..
[2] Achim Walter,et al. The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system. , 2016, Functional plant biology : FPB.
[3] Yu Mei,et al. A Robotic Platform for Corn Seedling Morphological Traits Characterization , 2017, Sensors.
[4] Guilherme N. DeSouza,et al. Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping , 2017, Sensors.
[5] Lie Tang,et al. Development of a Mobile Robotic Phenotyping System for Growth Chamber-based Studies of Genotype x Environment Interactions , 2016 .
[6] Gaurav Singh,et al. Flexible Flow Shop with Storage: Complexity and Optimisation Methods , 2016 .
[7] E. J. van Henten,et al. An Autonomous Robot for De-leafing Cucumber Plants grown in a High-wire Cultivation System , 2006 .
[8] C. Klukas,et al. Advanced phenotyping and phenotype data analysis for the study of plant growth and development , 2015, Front. Plant Sci..
[9] Jeffrey W. White,et al. Development and evaluation of a field-based high-throughput phenotyping platform. , 2013, Functional plant biology : FPB.
[10] Yufeng Ge,et al. Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral imaging , 2016, Comput. Electron. Agric..
[11] Yufeng Ge,et al. High Throughput In vivo Analysis of Plant Leaf Chemical Properties Using Hyperspectral Imaging , 2017, Front. Plant Sci..
[12] A. Zeileis,et al. zoo: S3 Infrastructure for Regular and Irregular Time Series , 2005, math/0505527.
[13] A. M. Edwards,et al. Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C4 cereal crop plant to nitrogen and water deficiency over time , 2015, Journal of experimental botany.
[14] Nader Sadegh,et al. Autonomous Leaf Picking Using Deep Learning and Visual-Servoing , 2016 .
[15] Yufeng Ge,et al. A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding , 2016, Comput. Electron. Agric..
[16] Xiaopeng Zhang,et al. Plant growth modelling and applications: the increasing importance of plant architecture in growth models. , 2007, Annals of botany.
[17] M. Hawkesford,et al. Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring. , 2016, Functional plant biology : FPB.
[18] Liu Chengliang,et al. Phenotype-based Robotic Screening Platform for Leafy Plant Breeding , 2016 .
[19] Arno Ruckelshausen,et al. Modular System Architecture for Individual Plant Phentotyping with an Autonomous Field Robot , 2009 .
[20] A. Leakey,et al. High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance1[OPEN] , 2016, Plant Physiology.
[21] George Kantor,et al. The Robotanist: A ground-based agricultural robot for high-throughput crop phenotyping , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[22] Barnabás Póczos,et al. High-Throughput Robotic Phenotyping of Energy Sorghum Crops , 2017, FSR.