Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust

Saved in:
Bibliographic Details
Published in:Plant Phenomics
Format: Online Article RSS Article
Published: 2025
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553714612043776
collection WordPress RSS
FRELIP Feed Integration
container_title Plant Phenomics
description
discipline_display AI and Smart Agriculture
discipline_facet AI and Smart Agriculture
format Online Article
RSS Article
genre Journal Article
id rss_article:85143
institution FRELIP
journal_source_facet Plant Phenomics
last_indexed 2026-06-20T21:41:21.451Z
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust
AI and Smart Agriculture
General
AI and Smart Agriculture
sub_discipline_display General
sub_discipline_facet General
subject_display AI and Smart Agriculture
General
AI and Smart Agriculture
subject_facet AI and Smart Agriculture
General
AI and Smart Agriculture
title Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust
title_alt Comparación de modelos estadísticos de 'predicción fenómica' para fenotipado basado en teledetección de susceptibilidad del maíz a la roya común
Comparaison de modèles statistiques de « prédiction phénomique » pour le phénotypage par télédétection de la sensibilité du maïs à la rouille commune
Comparação de modelos estatísticos de 'predição fenômica' para fenotipagem baseada em sensoriamento remoto da suscetibilidade do milho à ferrugem comum
title_auth Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust
title_es_txt Comparación de modelos estadísticos de 'predicción fenómica' para fenotipado basado en teledetección de susceptibilidad del maíz a la roya común
title_fr_txt Comparaison de modèles statistiques de « prédiction phénomique » pour le phénotypage par télédétection de la sensibilité du maïs à la rouille commune
title_full Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust
title_fullStr Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust
title_full_unstemmed Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust
title_pt_txt Comparação de modelos estatísticos de 'predição fenômica' para fenotipagem baseada em sensoriamento remoto da suscetibilidade do milho à ferrugem comum
title_short Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust
title_sort comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust
topic AI and Smart Agriculture
General
AI and Smart Agriculture
url https://www.sciopen.com/article/10.1016/j.plaphe.2025.100134