Satellite remote sensing has not been practical for agronomic research conducted using
small plots due to spatial resolution issues. The objectives were to determine,(1) the …

In-season nitrogen (N) management of irrigated maize (Zea mays L.) requires frequent
acquisition of plant N status estimates to timely assess the onset of crop N deficiency and its …

Vegetation indices (VIs) derived from active or passive sensors have been used for maize
growth monitoring and real-time nitrogen (N) management at field scale. In the present …

In recent decades, many spectral indices have been proposed to estimate crop nitrogen (N)
status parameters. However, most of the indices based on red radiation lose their sensitivity …

Knowing the total Nitrogen content (Nt) of forage maize (Zea mays) is important so that
decisions can be made quickly and efficiently to adjust the timing and amount of both …

Maize crop production is constrained worldwide by nitrogen (N) availability and particularly
in poor tropical and subtropical soils. The development of affordable high-throughput crop …

Remote sensing allows fast assessment of crop monitoring over large areas; however,
questions regarding uncertainty in crop parameter prediction and application to nitrogen (N) …

Finger millet (Eleusine coracana Gaertn L.) is an important grain crop for small farmers in
many countries. Reliable estimates of crop parameters, such as crop growth and nitrogen …

Combinations of visible and near-infrared (NIR) bands in an image are widely used for
estimating vegetation vigor and productivity. Using this approach to understand within-field …

High resolution satellite imagery has the potential to map within-field variation in crop growth
and yield. This study examined SPOT 5 satellite multispectral imagery for estimating grain …