Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Talukder Z, Jubery"'
Autor:
Therin J. Young, Shivani Chiranjeevi, Dinakaran Elango, Soumik Sarkar, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Talukder Z. Jubery
Publikováno v:
Agronomy, Vol 14, Iss 6, p 1181 (2024)
Automated canopy stress classification for field crops has traditionally relied on single-perspective, two-dimensional (2D) photographs, usually obtained through top-view imaging using unmanned aerial vehicles (UAVs). However, this approach may fail
Externí odkaz:
https://doaj.org/article/941c9991a7cc4e5a956930c8a98e0100
Autor:
David Dong, Koushik Nagasubramanian, Ruidong Wang, Ursula K. Frei, Talukder Z. Jubery, Thomas Lübberstedt, Baskar Ganapathysubramanian
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionComputer vision and deep learning (DL) techniques have succeeded in a wide range of diverse fields. Recently, these techniques have been successfully deployed in plant science applications to address food security, productivity, and envir
Externí odkaz:
https://doaj.org/article/7ec65d71f0ac4aac965cc50725572306
Autor:
Therin J. Young, Talukder Z. Jubery, Clayton N. Carley, Matthew Carroll, Soumik Sarkar, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Advances in imaging hardware allow high throughput capture of the detailed three-dimensional (3D) structure of plant canopies. The point cloud data is typically post-processed to extract coarse-scale geometric features (like volume, surface area, hei
Externí odkaz:
https://doaj.org/article/3d46ba5e78ab44d498f1a3123e81840a
Autor:
Kevin G. Falk, Talukder Z. Jubery, Seyed V. Mirnezami, Kyle A. Parmley, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh
Publikováno v:
Plant Methods, Vol 16, Iss 1, Pp 1-19 (2020)
Abstract Background Root system architecture (RSA) traits are of interest for breeding selection; however, measurement of these traits is difficult, resource intensive, and results in large variability. The advent of computer vision and machine learn
Externí odkaz:
https://doaj.org/article/39b2009a81d3413da0b3c57cfd768acc
Publikováno v:
Food and Energy Security, Vol 8, Iss 3, Pp n/a-n/a (2019)
Abstract Given the changing climate and increasing impact of agriculture on global resources, it is important to identify phenotypes which are global and sustainable optima. Here, an in silico framework is constructed by coupling evolutionary optimiz
Externí odkaz:
https://doaj.org/article/299e49d3f91a4612bd8b7ec9ee92a1a1
Autor:
Siddique I, Aboobucker, Talukder Z, Jubery, Ursula K, Frei, Yu-Ru, Chen, Tyler, Foster, Baskar, Ganapathysubramanian, Thomas, Lübberstedt
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2484
Doubled haploid (DH) technology reduces the time required to obtain homozygous genotypes and accelerates plant breeding among other advantages. It is established in major crop species such as wheat, barley, maize, and canola. DH lines can be produced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f42d23806c93488980af9acbaf8c6420
https://pubmed.ncbi.nlm.nih.gov/35461455
https://pubmed.ncbi.nlm.nih.gov/35461455
Autor:
Siddique I. Aboobucker, Talukder Z. Jubery, Ursula K. Frei, Yu-Ru Chen, Tyler Foster, Baskar Ganapathysubramanian, Thomas Lübberstedt
Publikováno v:
Plant Gametogenesis ISBN: 9781071622520
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b4419a75c622f5dfa9c49f610c75779
https://doi.org/10.1007/978-1-0716-2253-7_16
https://doi.org/10.1007/978-1-0716-2253-7_16
Autor:
Stefan Hey, Lisa Coffey, Frank Hochholdinger, Patrick S. Schnable, Yu Yang, James C. Schnable, Chenyong Miao, Baskar Ganapathysubramanian, Zihao Zheng, Brandi Sigmon, Huyu Liu, Talukder Z. Jubery
Publikováno v:
Plant Physiology. 182:977-991
Determining the genetic control of root system architecture (RSA) in plants via large-scale genome-wide association study (GWAS) requires high-throughput pipelines for root phenotyping. We developed Core Root Excavation using Compressed-air (CREAMD),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9eb5dae13a1633641bd6734a2079fe2
https://doi.org/10.1104/pp.19.00752
https://doi.org/10.1104/pp.19.00752
Autor:
Seyed Vahid Mirnezami, Aaron Kusmec, Lakshmi Attigala, Talukder Z. Jubery, Yan Zhou, Baskar Ganapathysubramanian, James C. Schnable, Maria G. Salas-Fernandez, Srikant Srinivasan, Patrick S. Schnable
Publikováno v:
Plant Cell
The accuracy of trait measurements greatly affects the quality of genetic analyses. During automated phenotyping, trait measurement errors, i.e. differences between automatically extracted trait values and ground truth, are often treated as random ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::339ce788614dc95b7f705c586143089a
https://europepmc.org/articles/PMC8408462/
https://europepmc.org/articles/PMC8408462/
Autor:
Arti Singh, Talukder Z. Jubery, Asheesh K. Singh, Baskar Ganapathysubramanian, Seyed Vahid Mirnezami, Koushik Nagasubramanian, Fateme Fotouhi Ardakani, Soumik Sarkar
Publikováno v:
Plant Phenome Journal, Vol 4, Iss 1, Pp n/a-n/a (2021)
Deep learning models have been successfully deployed for a diverse array of image‐based plant phenotyping applications including disease detection and classification. However, successful deployment of supervised deep learning models requires large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88cee0aa0b704df0ad023ff5eb139538
https://doaj.org/article/1ce4128f51e34cfa91aaea434685c8f2
https://doaj.org/article/1ce4128f51e34cfa91aaea434685c8f2