Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Monica F Danilevicz

Showing results (1-10 of 18) with videos related to

Pageof 2
Sort By:
Methods in Molecular Biology (Clifton, N.J.)|January 17, 2022
Machine Learning for Image Analysis: Leaf Disease SegmentationMonica F Danilevicz, Philipp Emanuel Bayer
Methods in Molecular Biology (Clifton, N.J.)|May 31, 2022
Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association StudiesPhilipp E Bayer, Mitchell Gill, Monica F Danilevicz, et al.
Plant Physiology|October 5, 2021
Resources for image-based high-throughput phenotyping in crops and data sharing challengesMonica F Danilevicz, Philipp E Bayer, Benjamin J Nestor, et al.
Nature Communications|January 24, 2025
Application of machine learning and genomics for orphan crop improvementTessa R MacNish, Monica F Danilevicz, Philipp E Bayer, et al.
The Plant Genome|September 10, 2024
Exploring genomic feature selection: A comparative analysis of GWAS and machine learning algorithms in a large-scale soybean datasetHawlader A Al-Mamun, Monica F Danilevicz, Jacob I Marsh, et al.
Plant Biotechnology Journal|June 27, 2025
Understanding plant phenotypes in crop breeding through explainable AIMonica F Danilevicz, Shriprabha R Upadhyaya, Jacqueline Batley, et al.
Methods in Molecular Biology (Clifton, N.J.)|December 10, 2020
High-Throughput Genotyping Technologies in Plant TaxonomyMonica F Danilevicz, Cassandria G Tay Fernandez, Jacob I Marsh, et al.
Plants (Basel, Switzerland)|October 27, 2022
The Global Assessment of Oilseed Brassica Crop Species Yield, Yield Stability and the Underlying GeneticsJaco D Zandberg, Cassandria T Fernandez, Monica F Danilevicz, et al.
Frontiers in Genetics|June 6, 2022
Plant Genotype to Phenotype Prediction Using Machine LearningMonica F Danilevicz, Mitchell Gill, Robyn Anderson, et al.
Plants (Basel, Switzerland)|January 25, 2025
Correction: Zandberg et al. The Global Assessment of Oilseed Brassica Crop Species Yield, Yield Stability and the Underlying Genetics. <i>Plants</i> 2022, <i>11</i>, 2740Jaco D Zandberg, Cassandria T Fernandez, Monica F Danilevicz, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|January 17, 2022
Machine Learning for Image Analysis: Leaf Disease SegmentationMonica F Danilevicz, Philipp Emanuel Bayer
Methods in Molecular Biology (Clifton, N.J.)|May 31, 2022
Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association StudiesPhilipp E Bayer, Mitchell Gill, Monica F Danilevicz, et al.
Plant Physiology|October 5, 2021
Resources for image-based high-throughput phenotyping in crops and data sharing challengesMonica F Danilevicz, Philipp E Bayer, Benjamin J Nestor, et al.
Nature Communications|January 24, 2025
Application of machine learning and genomics for orphan crop improvementTessa R MacNish, Monica F Danilevicz, Philipp E Bayer, et al.
The Plant Genome|September 10, 2024
Exploring genomic feature selection: A comparative analysis of GWAS and machine learning algorithms in a large-scale soybean datasetHawlader A Al-Mamun, Monica F Danilevicz, Jacob I Marsh, et al.
Plant Biotechnology Journal|June 27, 2025
Understanding plant phenotypes in crop breeding through explainable AIMonica F Danilevicz, Shriprabha R Upadhyaya, Jacqueline Batley, et al.
Methods in Molecular Biology (Clifton, N.J.)|December 10, 2020
High-Throughput Genotyping Technologies in Plant TaxonomyMonica F Danilevicz, Cassandria G Tay Fernandez, Jacob I Marsh, et al.
Plants (Basel, Switzerland)|October 27, 2022
The Global Assessment of Oilseed Brassica Crop Species Yield, Yield Stability and the Underlying GeneticsJaco D Zandberg, Cassandria T Fernandez, Monica F Danilevicz, et al.
Frontiers in Genetics|June 6, 2022
Plant Genotype to Phenotype Prediction Using Machine LearningMonica F Danilevicz, Mitchell Gill, Robyn Anderson, et al.
Plants (Basel, Switzerland)|January 25, 2025
Correction: Zandberg et al. The Global Assessment of Oilseed Brassica Crop Species Yield, Yield Stability and the Underlying Genetics. <i>Plants</i> 2022, <i>11</i>, 2740Jaco D Zandberg, Cassandria T Fernandez, Monica F Danilevicz, et al.
Pageof 2