Detalhe da pesquisa
1.
A leaf-level spectral library to support high-throughput plant phenotyping: predictive accuracy and model transfer.
J Exp Bot
; 74(14): 4050-4062, 2023 08 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-37018460
2.
Variation in morpho-physiological and metabolic responses to low nitrogen stress across the sorghum association panel.
BMC Plant Biol
; 22(1): 433, 2022 Sep 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-36076172
3.
Effects of fine grinding on mid-infrared spectroscopic analysis of plant leaf nutrient content.
Sci Rep
; 13(1): 6314, 2023 04 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-37072478
4.
Resilience of soybean cultivars to drought stress during flowering and early-seed setting stages.
Sci Rep
; 13(1): 1277, 2023 01 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-36690693
5.
High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion.
Plant Methods
; 18(1): 60, 2022 May 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-35505350
6.
Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges.
Plant Commun
; 2(4): 100209, 2021 07 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-34327323
7.
Predicting total petroleum hydrocarbons in field soils with Vis-NIR models developed on laboratory-constructed samples.
J Environ Qual
; 49(4): 847-857, 2020 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-33016494