Browsing by Author "Vergara Diaz, O."

Now showing items 1-6 of 6

Article

Comparative performance of ground vs. aerially assessed RGB and multispectral indices for early-growth evaluation of maize performance under phosphorus fertilization

Gracia-Romero, A.; Kefauver, S.C.; Vergara Diaz, O.; Zaman-Allah, M.; Prasanna, B.M.; Cairns, J.E.; Araus, J.L. (Frontiers, 2017)
Article

Evaluating maize genotype performance under low nitrogen conditions using RGB UAV phenotyping techniques

Buchaillot, M.L.; Gracia-Romero, A.; Vergara Diaz, O.; Zaman-Allah, M.; Amsal Tesfaye Tarekegne; Cairns, J.E.; Prasanna, B.M.; Araus, J.L.; Kefauver, S.C. (MDPI, 2019)
Article

Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe

Gracia-Romero, Adrian; Kefauver, S.C.; Vergara, O.; Hamadziripi, E.; Zaman-Allah, M.; Thierfelder, C.; Prasanna, B.M.; Cairns, J.E.; Araus, J.L. (Nature Publishing Group, 2020)
Article

A novel remote sensing approach for prediction of maize yield under different conditions of nitrogen fertilization

Vergara Diaz, O.; Zaman-Allah, M.; Masuka, B.; Hornero, A.; Zarco‑Tejada, P.J.; Prasanna, B.M.; Cairns, J.E.; Araus, J.L. (Frontiers, 2016)
Article

Phenotyping conservation agriculture management effects on ground and aerial remote sensing assessments of maize hybrids performance in Zimbabwe

Gracia-Romero, A.; Vergara Diaz, O; Thierfelder, C; Cairns, J.E.; Kefauver, S.C.; Araus, J.L. (MDPI, 2018)
Article

Unmanned aerial platform‑based multi‑spectral imaging for field phenotyping of maize

Zaman-Allah, M.; Vergara Diaz, O.; Araus, J.L.; Zarco‑Tejada, P.J.; Hornero, A.; Hernández-Alba, A.; Magorokosho, C.; Das, B.; Amsal Tesfaye Tarekegne; Cairns, J.E.; Prasanna, B.M.; Olsen, M.; Craufurd, P. (BioMed Central, 2015)

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Browsing by Author "Vergara Diaz, O."

Comparative performance of ground vs. aerially assessed RGB and multispectral indices for early-growth evaluation of maize performance under phosphorus fertilization

Evaluating maize genotype performance under low nitrogen conditions using RGB UAV phenotyping techniques

Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe

A novel remote sensing approach for prediction of maize yield under different conditions of nitrogen fertilization

Phenotyping conservation agriculture management effects on ground and aerial remote sensing assessments of maize hybrids performance in Zimbabwe

Unmanned aerial platform‑based multi‑spectral imaging for field phenotyping of maize

Browsing by Author "Vergara Diaz, O."

Comparative performance of ground vs. aerially assessed RGB and multispectral indices for early-growth evaluation of maize performance under phosphorus fertilization ﻿

Evaluating maize genotype performance under low nitrogen conditions using RGB UAV phenotyping techniques ﻿

Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe ﻿

A novel remote sensing approach for prediction of maize yield under different conditions of nitrogen fertilization ﻿

Phenotyping conservation agriculture management effects on ground and aerial remote sensing assessments of maize hybrids performance in Zimbabwe ﻿

Unmanned aerial platform‑based multi‑spectral imaging for field phenotyping of maize ﻿

Comparative performance of ground vs. aerially assessed RGB and multispectral indices for early-growth evaluation of maize performance under phosphorus fertilization

Evaluating maize genotype performance under low nitrogen conditions using RGB UAV phenotyping techniques

Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe

A novel remote sensing approach for prediction of maize yield under different conditions of nitrogen fertilization

Phenotyping conservation agriculture management effects on ground and aerial remote sensing assessments of maize hybrids performance in Zimbabwe

Unmanned aerial platform‑based multi‑spectral imaging for field phenotyping of maize