Smart agriculture–ie., the increasing use of information technologies, sensors, autonomous
vehicles, data analytics, predictive modelling, and other digital technologies related to …

Agriculture is one of the economic sectors that affect climate change contributing to
greenhouse gas emissions directly and indirectly. There is a trend of agricultural …

Core Ideas Nitrogen recommendations for individual corn fields are less accurate than
desired. Nitrogen recommendations need improvement for economic and environmental …

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 …

Nitrogen (N) is central to living systems, and its addition to agricultural cropping systems is
an essential facet of modern crop management and one of the major reasons that crop …

To reduce environment pollution from cropping activities, a reliable indicator of crop N status
is needed for site-specific N management in agricultural fields. Nitrogen Nutrition Index …

In‐season determination of corn (Zea mays L.) N requirements via remote sensing may help
optimize N application decisions and improve profit, fertilizer use efficiency, and …

Precision Agriculture is a cyclic optimization process where data have to be collected from
the field, analysed and evaluated and finally used for decision making for site-specific …

Improved prediction of optimal N fertilizer rates for corn (Zea mays L.) can reduce N losses
and increase profits. We tested the ability of the Agricultural Production Systems sIMulator …