Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest

Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest

Biomass and yield are key variables for assessing the production and performance of agricultural systems. Modeling and predicting the biomass and yield of individual plants at the farm scale represents a major challenge in precision agriculture, particularly when salinity and other abiotic stresses...

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Bibliographic Details
Main Authors: Kasper Johansen, Mitchell J. L. Morton, Yoann Malbeteau, Bruno Aragon, Samer Al-Mashharawi, Matteo G. Ziliani, Yoseline Angel, Gabriele Fiene, Sónia Negrão, Magdi A. A. Mousa, Mark A. Tester, Matthew F. McCabe
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Artificial Intelligence
Subjects:
UAV
yield
biomass
tomato plants
salinity
random forest
Online Access:https://www.frontiersin.org/article/10.3389/frai.2020.00028/full

Internet

https://www.frontiersin.org/article/10.3389/frai.2020.00028/full

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