SeedGerm : a cost-effective phenotyping platform for automated seed imaging and machine-learning based phenotypic analysis of crop seed germination

Autor: Colmer, Joshua, O’Neill, Carmel M., Wells, Rachel, Bostrom, Aaron, Reynolds, Daniel, Websdale, Danny, Shiralagi, Gagan, Lu, Wei, Lou, Qiaojun, Le Cornu, Thomas, Ball, Joshua, Renema, Jim, Andaluz, Gema Flores, Benjamins, Rene, Penfield, Steven, Zhou, Ji

Publikováno v: The New Phytologist, 2020 Oct 01. 228(2), 778-793.

Externí odkaz: https://www.jstor.org/stable/26968124

SeedGerm: a cost‐effective phenotyping platform for automated seed imaging and machine‐learning based phenotypic analysis of crop seed germination

Autor: Aaron Bostrom, Danny Websdale, Joshua Ball, Joshua Colmer, Rene Benjamins, Qiaojun Lou, Gema Flores Andaluz, Gagan Shiralagi, Ji Zhou, Daniel Reynolds, Steven Penfield, Wei Lu, Carmel M. O’Neill, Thomas Le Cornu, Jim Renema, Rachel Wells

Publikováno v: New Phytologist. 228:778-793

Efficient seed germination and establishment are important traits for field and glasshouse crops. Large-scale germination experiments are laborious and prone to observer errors, leading to the necessity for automated methods. We experimented with fiv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a392b674accfbfe7f9034d134c7aff6
https://doi.org/10.1111/nph.16736

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Synchrotron tomography applications in agriculture and food sciences research: a review

Autor: Navnath S. Indore, Chithra Karunakaran, Digvir S. Jayas

Publikováno v: Plant Methods, Vol 18, Iss 1, Pp 1-26 (2022)

Abstract Synchrotron imaging is widely used for research in many scientific disciplines. This article introduces the characteristics of synchrotron X-ray imaging and its applications in agriculture and food science research. The agriculture and food

Externí odkaz: https://doaj.org/article/3b6f7c425e2c468c96ce5059aaa857ff

Computerised seed imaging: a new tool to evaluate germination quality

Autor: A. Dell’Aquila

Publikováno v: 1 (2006): 20-31.
info:cnr-pdr/source/autori:A. Dell’Aquila/titolo:Computerised seed imaging: a new tool to evaluate germination quality/doi:/rivista:/anno:2006/pagina_da:20-31/pagina_a:/intervallo_pagine:20-31/volume:1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::77a113055b5235a5b6727b7009664d6d
https://publications.cnr.it/doc/63155