Phenomics

Related papers: 20

Top Cited Papers

High-throughput phenotyping for crop improvement in the genomics era

Reyazul Rouf Mir, Matthew Reynolds, Francisco Pinto, Mohd Anwar Khan, M. Ashraf Bhat

Citations: 321 • 2019

Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops

Robert T. Furbank, José A. Jiménez-Berni, Barbara George‐Jaeggli, Andries Potgieter, David M. Deery

Citations: 228 • 2019

Plant Phenotyping Research Trends, a Science Mapping Approach

Corrado Costa, Ulrich Schurr, Francesco Loreto, Paolo Menesatti, Sébastien Carpentier

Citations: 163 • 2019

Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives

Abbas Atefi, Yufeng Ge, Santosh Pitla, James C. Schnable

Citations: 143 • 2021

Efficient in‐field plant phenomics for row‐crops with an autonomous ground vehicle

James Underwood, Alexander Wendel, Brooke Schofield, L. McMurray, R. B. E. Kimber

Citations: 115 • 2017

Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!

Anne‐Katrin Mahlein, Matheus Thomas Kuśka, Stefan Thomas, Mirwaes Wahabzada, Jan Behmann, Uwe Rascher, Kristian Kersting

Citations: 105 • 2019

The future of Internet of Things in agriculture: Plant high-throughput phenotypic platform

Jiangchuan Fan, Ying Zhang, Weiliang Wen, Shenghao Gu, Xianju Lu, Xinyu Guo

Citations: 94 • 2020

High-throughput field crop phenotyping: current status and challenges

S. Ninomiya

Citations: 79 • 2022

Field phenotyping of grapevine growth using dense stereo reconstruction

Maria Klodt, Katja Herzog, Reinhard Töpfer, Daniel Cremers

Citations: 50 • 2015

Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform

Danilo Hottis Lyra, Nicolas Virlet, Pouria Sadeghi‐Tehran, Kirsty L. Hassall, Luzie U. Wingen, Simon Orford, Simon Griffiths, Malcolm J. Hawkesford, Gancho T. Slavov

Citations: 46 • 2020

Plant Phenomics: Fundamental Bases, Software and Hardware Platforms, and Machine Learning

Vadim Demidchik, A. Y. Shashko, U. Y. Bandarenka, Galina Smolikova, D. A. Przhevalskaya, M. A. Charnysh, Г. А. Пожванов, A. V. Barkosvkyi, Igor I. Smolich, А. И. Соколик, Min Yu, С.С. Медведев

Citations: 43 • 2020

High-Throughput Phenotyping in Soybean

Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian, W. T. Schapaugh, Fernando E. Miguez, Clayton N. Carley, Matthew E. Carroll, Mariana V. Chiozza, Kevin O. Chiteri, Kevin G. Falk, Sarah E. Jones, Talukder Z. Jubery, Seyed Vahid Mirnezami, Koushik Nagasubramanian, Kyle Parmley, Ashlyn Rairdin, Johnathon M. Shook, Liza Van der Laan, Therin J. Young, Jiaoping Zhang

Citations: 40 • 2021

Wine yeast phenomics: A standardized fermentation method for assessing quantitative traits of Saccharomyces cerevisiae strains in enological conditions

Émilien Peltier, Margaux Bernard, Marine Trujillo, Duyên Prodhomme, Jean‐Christophe Barbe, Yves Gibon, Philippe Marullo

Citations: 38 • 2018

High Throughput Screening Technologies in Biomass Characterization

Stephen R. Decker, Anne E. Harman‐Ware, Renee M. Happs, Edward J. Wolfrum, Gerald A. Tuskan, David Kainer, Gbekeloluwa Oguntimein, Miguel Rodríguez, Deborah Weighill, Piet Jones, Daniel Jacobson

Citations: 38 • 2018

Uncovering natural variation in root system architecture and growth dynamics using a robotics-assisted phenomics platform

Therese LaRue, Heike Lindner, Ankit Srinivas, Moisés Expósito‐Alonso, Guillaume Lobet, José R. Dinneny

Citations: 38 • 2022

Machine learning in agriculture: from silos to marketplaces

Philipp E. Bayer, David Edwards

Citations: 33 • 2020

Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants

Caiming Gou, Sara Zafar, Zuhair Hasnain, Nazia Aslam, Naeem Iqbal, Sammar Abbas, Hui Li, Jia Li, Bo Chen, Arthur J. Ragauskas, Manzar Abbas

Citations: 32 • 2024

Plant phenomics:: history, present status and challenges

Ji Zhou, François Tardieu, Tony Pridmore, John H. Doonan, Daniel Reynolds, Neil Hall, Simon Griffiths, Tao Cheng, Yan Zhu, Xiuyi Wang, Dong Jiang, Yanfeng Ding

Citations: 26 • 2018

Real-time plant phenomics under robotic farming setup: A vision-based platform for complex plant phenotyping tasks

Ajay Arunachalam, Henrik Andreasson

Citations: 24 • 2021

Phenomics: how next-generation phenotyping is revolutionizing plant breeding

Roberto Fritsche‐Neto, Aluízio Borém

Citations: 19 • 2015