Improving the identification of haploid maize seeds using convolutional neural networks-Reference-Cited by-同舟云学术

Improving the identification of haploid maize seeds using convolutional neural networks

Published:2021-05-19 Issue:4 Volume:61 Page:2387-2397
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Sci.

Author:

Sabadin Felipe¹^ORCID,Galli Giovanni¹^ORCID,Borsato Ronaldo¹,Gevartosky Raysa¹^ORCID,Campos Gabriela Romêro¹,Fritsche‐Neto Roberto¹^ORCID

Affiliation:

1. Dep. of Genetics “Luiz de Queiroz” College of Agriculture Univ. of São Paulo Piracicaba São Paulo Brazil

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20487

Reference32 articles.

1. Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach;Altuntaş Y.;Computers and Electronics in Agriculture,2019

2. UAV‐based high throughput phenotyping in citrus utilizing multispectral imaging and artificial intelligence;Ampatzidis Y.;Remote Sensing,2019

3. Androgenetic haploids and SSR markers as tools for the development of tropical maize hybrids

4. Haploid differentiation in maize kernels based on fluorescence imaging

5. The OpenCV library;Bradski G.;Dr Dobbs Journal of Software Tools,2000

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