Machine learning in agriculture: from silos to marketplaces-Reference-Cited by-同舟云学术

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Machine learning in agriculture: from silos to marketplaces

Published:2020-12-20 Issue:4 Volume:19 Page:648-650
ISSN:1467-7644
Container-title:Plant Biotechnology Journal
language:en
Short-container-title:Plant Biotechnol J

Author:

Bayer Philipp E.¹^ORCID,Edwards David¹^ORCID

Affiliation:

1. School of Biological Sciences and Institute of Agriculture University of Western Australia Perth WA Australia

Funder

Australian Research Council

Grains Research and Development Corporation

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/pbi.13521

Reference10 articles.

1. Global agricultural intensification during climate change: a role for genomics

2. Benchmarking parametric and machine learning models for genomic prediction of complex traits;Azodi C.B.;G3: Genes ‐ Genomes – Genet.,2019

3. Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production

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

5. AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture

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