Nitrogen (N) in the agricultural production system influences many aspects of
agroecosystems and several critical ecosystem services widely depend on the N availability …

Core Ideas Cereal N use efficiency was estimated at 35, 41, 30, and 21% for the world, the
United States, China, and India, respectively. There was a trend for increased N fertilizer …

Remote sensing from unmanned aircraft systems (UAS) was expected to be an important
new technology to assist farmers with precision agriculture, especially crop nutrient …

Management of nitrogen (N) is a challenging task and several methods individually and in
combination are in use to manage its efficiency. However, nitrogen use efficiency (NUE) has …

Precision agriculture dates back to the middle of the 1980's. Remote sensing applications in
precision agriculture began with sensors for soil organic matter, and have quickly diversified …

Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Leaf chlorophyll content is an important variable for agricultural remote sensing because of
its close relationship to leaf nitrogen content. The triangular greenness index (TGI) was …

Nitrogen (N) is significantly related to crop photosynthetic capacity. Over-and-under-
application of N fertilizers not only limits crop productivity but also leads to negative …

Recent technological advances in UAV (unmanned aerial vehicle) technology offer new
opportunities for assessing agricultural plot experiments using UAV imagery. Vegetation …

China is facing one of the largest challenges of this century to continue to increase annual
cereal production to about 600 Mt by 2030 to ensure food security with shrinking cropland …