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Frontiers in Plant Science
|
December 31, 2020
Attention-Based Recurrent Neural Network for Plant Disease Classification
Sue Han Lee, Hervé Goëau, Pierre Bonnet, et al.
Plants (Basel, Switzerland)
|
February 26, 2022
Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest
Hervé Goëau, Titouan Lorieul, Patrick Heuret, et al.
Plant Phenomics (Washington, D.C.)
|
November 13, 2023
Estimating Compositions and Nutritional Values of Seed Mixes Based on Vision Transformers
Shamprikta Mehreen, Hervé Goëau, Pierre Bonnet, et al.
Plants (Basel, Switzerland)
|
November 27, 2021
Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of <i>Streptanthus tortuosus</i>
Natalie L R Love, Pierre Bonnet, Hervé Goëau, et al.
Applications in Plant Sciences
|
August 9, 2020
Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots
Julien Champ, Adan Mora-Fallas, Hervé Goëau, et al.
The New Phytologist
|
June 5, 2025
Using reflectance spectra and Pl@ntNet to identify herbarium specimens: a case study with Lithocarpus
Barbara M Neto-Bradley, Pierre Bonnet, Hervé Goëau, et al.
Applications in Plant Sciences
|
July 7, 2020
A new fine-grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction
Hervé Goëau, Adán Mora-Fallas, Julien Champ, et al.
Applications in Plant Sciences
|
June 27, 2025
Fully automatic extraction of morphological traits from the web: Utopia or reality?
Diego Marcos, Robert van de Vlasakker, Ioannis N Athanasiadis, et al.
Applications in Plant Sciences
|
April 3, 2019
Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras
Titouan Lorieul, Katelin D Pearson, Elizabeth R Ellwood, et al.
Bioscience
|
July 16, 2020
Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research
Katelin D Pearson, Gil Nelson, Myla F J Aronson, et al.
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Search research articles
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Frontiers in Plant Science
|
December 31, 2020
Attention-Based Recurrent Neural Network for Plant Disease Classification
Sue Han Lee, Hervé Goëau, Pierre Bonnet, et al.
Plants (Basel, Switzerland)
|
February 26, 2022
Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest
Hervé Goëau, Titouan Lorieul, Patrick Heuret, et al.
Plant Phenomics (Washington, D.C.)
|
November 13, 2023
Estimating Compositions and Nutritional Values of Seed Mixes Based on Vision Transformers
Shamprikta Mehreen, Hervé Goëau, Pierre Bonnet, et al.
Plants (Basel, Switzerland)
|
November 27, 2021
Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of <i>Streptanthus tortuosus</i>
Natalie L R Love, Pierre Bonnet, Hervé Goëau, et al.
Applications in Plant Sciences
|
August 9, 2020
Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots
Julien Champ, Adan Mora-Fallas, Hervé Goëau, et al.
The New Phytologist
|
June 5, 2025
Using reflectance spectra and Pl@ntNet to identify herbarium specimens: a case study with Lithocarpus
Barbara M Neto-Bradley, Pierre Bonnet, Hervé Goëau, et al.
Applications in Plant Sciences
|
July 7, 2020
A new fine-grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction
Hervé Goëau, Adán Mora-Fallas, Julien Champ, et al.
Applications in Plant Sciences
|
June 27, 2025
Fully automatic extraction of morphological traits from the web: Utopia or reality?
Diego Marcos, Robert van de Vlasakker, Ioannis N Athanasiadis, et al.
Applications in Plant Sciences
|
April 3, 2019
Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras
Titouan Lorieul, Katelin D Pearson, Elizabeth R Ellwood, et al.
Bioscience
|
July 16, 2020
Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research
Katelin D Pearson, Gil Nelson, Myla F J Aronson, et al.
Page
of 1