Crop sensing technologies to aid nitrogen management in grain crops have been the focus
of an important element of Precision/Digital Agriculture research. We review sensor-based …

The question of the optimal nutrient application in agricultural production continues to gather
attention because of its relevance in increasing the profitability of crop production and …

Data-driven decision making in agriculture can be augmented by utilizing the data gathered
from precision agriculture technologies to make the most informed decisions that consider …

Crop monitoring through remote sensing techniques enable greater knowledge of average
variability in crop growth. Canopy sensors help provide information on the variability of crop …

Abstract The Oklahoma State University algorithm (OSU) is the most widespread
recommendation system to calculate the optimal nitrogen (N) rate in cereal crops. This …

The optimal nitrogen (N) application rate is an important concept to guide the strategic/static
N management of crops. However, there is still a knowledge gap on how to combine the …

While precision agriculture (PA) has enormous potential for reducing the environmental
footprint of farming, awareness is growing with respect to the social implications of the …

Precision agriculture (PA) has become increasingly important to farmers particularly in
resource-poor and risk-prone settings in the developing world. However, due to cost and …

A preliminary study was conducted to analyze the sustainability of barley production
through:(i) investigating sensor-based nitrogen (N) application on barley performance …

For many decades, researchers have relied on small-scale agronomic experiments to
provide input management recommendations to farmers. However, such experiments have …