Browsing by Author "Kefauver, Shawn"

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 Media, 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)
Conference Paper

Evaluating the performance of different commercial and pre-commercial maize varieties under low nitrogen conditions using affordable phenotyping tools

Buchaillot, M.L.; Gracia-Romero, A.; Zaman-Allah, M.; Amsal Tesfaye Tarekegne; Prasanna, B.M.; Cairns, J.E.; Araus, J.L.; Kefauver, S.C. (MDPI, 2018)
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

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

Translating high-throughput phenotyping into genetic gain

Araus, J.L.; Kefauver, S.C.; Zaman-Allah, M.; Olsen, M.; Cairns, J.E. (Elsevier, 2018)

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Browsing by Author "Kefauver, Shawn"

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

Evaluating the performance of different commercial and pre-commercial maize varieties under low nitrogen conditions using affordable phenotyping tools

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

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

Translating high-throughput phenotyping into genetic gain

Browsing by Author "Kefauver, Shawn"

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 ﻿

Evaluating the performance of different commercial and pre-commercial maize varieties under low nitrogen conditions using affordable phenotyping tools ﻿

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

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

Translating high-throughput phenotyping into genetic gain ﻿

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

Evaluating the performance of different commercial and pre-commercial maize varieties under low nitrogen conditions using affordable phenotyping tools

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

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

Translating high-throughput phenotyping into genetic gain