The objective of this study was to compare the use of hyperspectral narrowbands, hyperspectral narrowband indices and pigment measurements collected from switchgrass leaf as potential tools for discriminating among twelve switchgrass cultivars and five N treatments in one cultivar (Alamo). Hyperspectral reflectance, UV-B absorbing compounds, photosynthetic pigments (chlorophyll a, chlorophyll b and carotenoids) of the uppermost fully expanded leaves were determined at monthly intervals from May to September. Leaf hyperspectral data was collected using ASD FieldSpec FR spectroradiometer (350–2,500 nm). Discrimination of the cultivars and N treatments were determined based on Principal Component Analysis (PCA) and linear discriminant analysis...
This article presents the findings of a laboratory experiment using stacks of leaves obtained from f...
To support the growing human population, plant phenotyping technologies must innovate to rapidly int...
Crop type discrimination is still very challenging task for researchers using non-imaging hyperspect...
The objective of this study was to compare the use of hyperspectral narrowbands, hyperspectral narro...
Abstract: The objective of this study was to compare the use of hyperspectral narrowbands, hyperspec...
Switchgrass varieties grown under various environments were investi-gated by dispersive and Fourier ...
International audienceThis study used hyperspectral reflectance data to evaluate the crop physiologi...
Hyperspectral data can provide prediction of physical and chemical vegetation properties, but data h...
Hyperspectral remote sensing is a rapid non-destructive method for diagnosing nitrogen status in whe...
The vegetation spectral indices have been widely used as estimators of the nutritional status of the...
Hyperspectral reflectance data were collected at 7 critical phenological stages in a summer barley f...
Like all modern agriculture sectors, turfgrass productionand management is headed towards cost reduc...
The characterization of plant nutrients is important to understand the process of plant growth in na...
Hyperspectral (HS) data represents an extremely powerful means for rapidly detecting crop stress and...
Hyperspectral (HS) data represents an extremely powerful means for rapidly detecting crop stress and...
This article presents the findings of a laboratory experiment using stacks of leaves obtained from f...
To support the growing human population, plant phenotyping technologies must innovate to rapidly int...
Crop type discrimination is still very challenging task for researchers using non-imaging hyperspect...
The objective of this study was to compare the use of hyperspectral narrowbands, hyperspectral narro...
Abstract: The objective of this study was to compare the use of hyperspectral narrowbands, hyperspec...
Switchgrass varieties grown under various environments were investi-gated by dispersive and Fourier ...
International audienceThis study used hyperspectral reflectance data to evaluate the crop physiologi...
Hyperspectral data can provide prediction of physical and chemical vegetation properties, but data h...
Hyperspectral remote sensing is a rapid non-destructive method for diagnosing nitrogen status in whe...
The vegetation spectral indices have been widely used as estimators of the nutritional status of the...
Hyperspectral reflectance data were collected at 7 critical phenological stages in a summer barley f...
Like all modern agriculture sectors, turfgrass productionand management is headed towards cost reduc...
The characterization of plant nutrients is important to understand the process of plant growth in na...
Hyperspectral (HS) data represents an extremely powerful means for rapidly detecting crop stress and...
Hyperspectral (HS) data represents an extremely powerful means for rapidly detecting crop stress and...
This article presents the findings of a laboratory experiment using stacks of leaves obtained from f...
To support the growing human population, plant phenotyping technologies must innovate to rapidly int...
Crop type discrimination is still very challenging task for researchers using non-imaging hyperspect...