This review addresses the potential of image-based remote sensing to provide spatially and
temporally distributed information for precision crop management (PCM). PCM is an …

Under‐as well as overfertilization with nitrogen (N) will result in economic loss for the farmer
due to reduced yields and quality of the products. Also from an ecological perspective, it is …

Spectral properties of a wheat canopy with vegetation fraction (VF) from 0% to 100% in
visible and near-infrared (NIR) ranges of the spectrum were studied in order to devise a …

Hyperspectral reflectance (438 to 884 nm) data were recorded at five different growth stages
of winter wheat in a field experiment including two cultivars, three plant densities, and four …

To impart sustainability to modern intensive farming systems, environmental pollution
caused by nitrogenous fertilizers in needs to be reduced by optimizing their doses. To …

Remote sensing measurements may be a useful tool for quantifying crop development and
yield. Our objective was to study the potential of using spectral reflectance indices to provide …

Vegetation indices derived from reflectance data are related to canopy variables such as
aboveground biomass, leaf area index (LAI), and the fraction of intercepted …

Nondestructive monitoring and diagnosis of plant N status is necessary for precision N
management. The present study was conducted to determine if canopy reflectance could be …

Для оценки состояния посевов и прогнозирования урожайности обычно использовали
такие показатели, как листовые индексы и листовые фотосинтетические потенциалы …

Future wheat yield improvements may be gained by increasing total dry matter (TDM)
production. Vegetation indices (VI) based on spectral reflectance ratios have been proposed …