The flowering stage of oilseed rape (Brassica napus L.) is of vital interest in precision agriculture. It has been shown that data describing the flower production of oilseed rape (OSR), at stage 3, in spring can be used to predict seed yield at harvest. Traditional field-based techniques for assessing OSR flowers are based on a visual assessment which is subjective and time consuming. However, a high throughput phenotyping technique, using an unmanned aerial vehicle (UAV) with multispectral image (MSI) camera, was used to investigate the growth stages of OSR (in terms of crop height) and to quantify its flower production. A simplified approach using a normalised difference yellowness index (NDYI) was coupled with an iso-cluster classificat...
Field trials were conducted with two nitrogen applications (0 or 240 kg N ha−1) and three modern cul...
The development of unmanned aerial vehicles (UAVs) and image processing algorithms for field-based p...
Smallholder farmers depend on healthy and productive crop yields to sustain their socio-economic sta...
Suitability of the vegetation indices of normalized difference vegetation index (NDVI), blue normali...
This study developed an approach for remote estimation of Vegetation Fraction (VF) and Flower Fracti...
Remote estimation of flower number in oilseed rape under different nitrogen (N) treatments is impera...
The current study aimed to evaluate the potential of the normalized difference vegetation index (NDV...
Canola (Brassica napus), with its prominent yellow flowers, has unique spectral characteristics and ...
Rapeseed is an important oil crop in China. Timely estimation of rapeseed stand count at early growt...
Abstract Background The accurate quantification of yield in rapeseed is important for evaluating the...
The dry aboveground biomass (AGB) is an important parameter in assessing crop growth and predicting ...
With advances in plant genomics, plant phenotyping has become a new bottleneck in plant breeding and...
The development of unmanned aerial vehicles (UAVs) and image processing algorithms for field-based p...
Emerging strategies and technologies in agriculture, such as precision farming and phenotyping depen...
Precision phenotyping, especially the use of image analysis, allows researchers to gain information ...
Field trials were conducted with two nitrogen applications (0 or 240 kg N ha−1) and three modern cul...
The development of unmanned aerial vehicles (UAVs) and image processing algorithms for field-based p...
Smallholder farmers depend on healthy and productive crop yields to sustain their socio-economic sta...
Suitability of the vegetation indices of normalized difference vegetation index (NDVI), blue normali...
This study developed an approach for remote estimation of Vegetation Fraction (VF) and Flower Fracti...
Remote estimation of flower number in oilseed rape under different nitrogen (N) treatments is impera...
The current study aimed to evaluate the potential of the normalized difference vegetation index (NDV...
Canola (Brassica napus), with its prominent yellow flowers, has unique spectral characteristics and ...
Rapeseed is an important oil crop in China. Timely estimation of rapeseed stand count at early growt...
Abstract Background The accurate quantification of yield in rapeseed is important for evaluating the...
The dry aboveground biomass (AGB) is an important parameter in assessing crop growth and predicting ...
With advances in plant genomics, plant phenotyping has become a new bottleneck in plant breeding and...
The development of unmanned aerial vehicles (UAVs) and image processing algorithms for field-based p...
Emerging strategies and technologies in agriculture, such as precision farming and phenotyping depen...
Precision phenotyping, especially the use of image analysis, allows researchers to gain information ...
Field trials were conducted with two nitrogen applications (0 or 240 kg N ha−1) and three modern cul...
The development of unmanned aerial vehicles (UAVs) and image processing algorithms for field-based p...
Smallholder farmers depend on healthy and productive crop yields to sustain their socio-economic sta...