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Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest.
Johansen, Kasper; Morton, Mitchell J L; Malbeteau, Yoann; Aragon, Bruno; Al-Mashharawi, Samer; Ziliani, Matteo G; Angel, Yoseline; Fiene, Gabriele; Negrão, Sónia; Mousa, Magdi A A; Tester, Mark A; McCabe, Matthew F.
Affiliation
  • Johansen K; Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Morton MJL; Center for Desert Agriculture, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Malbeteau Y; Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Aragon B; Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Al-Mashharawi S; Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Ziliani MG; Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Angel Y; Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Fiene G; Center for Desert Agriculture, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Negrão S; Center for Desert Agriculture, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Mousa MAA; School of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
  • Tester MA; Department of Arid Land Agriculture, Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia.
  • McCabe MF; Department of Vegetables, Faculty of Agriculture, Assiut University, Assiut, Egypt.
Front Artif Intell ; 3: 28, 2020.
Article de En | MEDLINE | ID: mdl-33733147
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Langue: En Journal: Front Artif Intell Année: 2020 Type de document: Article Pays d'affiliation: Arabie saoudite Pays de publication: Suisse
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Langue: En Journal: Front Artif Intell Année: 2020 Type de document: Article Pays d'affiliation: Arabie saoudite Pays de publication: Suisse