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2020 | 1 |
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Page 1
CubeSat constellations provide enhanced crop phenology and digital agricultural insights using daily leaf area index retrievals.
Sci Rep. 2022 Mar 28;12(1):5244. doi: 10.1038/s41598-022-09376-6.
Sci Rep. 2022.
PMID: 35347221
Free PMC article.
Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest.
Johansen K, Morton MJL, Malbeteau Y, Aragon B, Al-Mashharawi S, Ziliani MG, Angel Y, Fiene G, Negrão S, Mousa MAA, Tester MA, McCabe MF.
Johansen K, et al. Among authors: ziliani mg.
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.
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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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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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