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Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest.
Front Artif Intell. 2020 May 8;3:28. doi: 10.3389/frai.2020.00028. eCollection 2020.
Front Artif Intell. 2020.
PMID: 33733147
Free PMC article.
Unmanned Aerial Vehicle-Based Phenotyping Using Morphometric and Spectral Analysis Can Quantify Responses of Wild Tomato Plants to Salinity Stress.
Johansen K, Morton MJL, Malbeteau YM, Aragon B, Al-Mashharawi SK, Ziliani MG, Angel Y, Fiene GM, Negrão SSC, Mousa MAA, Tester MA, McCabe MF.
Johansen K, et al. Among authors: ziliani mg.
Front Plant Sci. 2019 Mar 29;10:370. doi: 10.3389/fpls.2019.00370. eCollection 2019.
Front Plant Sci. 2019.
PMID: 30984222
Free PMC article.
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CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions.
Aragon B, Ziliani MG, Houborg R, Franz TE, McCabe MF.
Aragon B, et al. Among authors: ziliani mg.
Sci Rep. 2021 Jun 9;11(1):12131. doi: 10.1038/s41598-021-91646-w.
Sci Rep. 2021.
PMID: 34108564
Free PMC article.
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CubeSat constellations provide enhanced crop phenology and digital agricultural insights using daily leaf area index retrievals.
Johansen K, Ziliani MG, Houborg R, Franz TE, McCabe MF.
Johansen K, et al. Among authors: ziliani mg.
Sci Rep. 2022 Mar 28;12(1):5244. doi: 10.1038/s41598-022-09376-6.
Sci Rep. 2022.
PMID: 35347221
Free PMC article.
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