China and India are the two top consumers of fertilizer nitrogen (N) in the world not only to
provide food security to 36% of the global population living in the two countries but also due …

Modern agriculture has a major impact on natural resources in terms of exploitation and use.
Land and water resources are being exploited by ever-increasing population pressures …

Accurate and timely wheat yield prediction is of great importance to global food security.
Early prediction of wheat yield at a field scale is essential for site-specific precision …

Accurate and non-destructive diagnosis of crop nitrogen (N) surplus and deficit status based
on N nutrition index (NNI) is crucially important for the success of precision N management …

Rice grain yield prediction with UAV-driven multispectral images are re-emerging interests
in precision agriculture, and an optimal sensing time is an important factor. The aims of this …

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 …

Context Traditional critical nitrogen (N) dilution curve (CNDC) construction for N nutrition
index (NNI) determination has limitations for in-season crop N diagnosis and …

Hyperspectral imaging has become a valuable remote sensing tool due to the development
of advanced remote acquisition systems with high spatial and spectral resolution, and the …

Accurately detecting nitrogen (N) deficiency and determining the need for additional N
fertilizer is a key challenge to achieving precise N management in many crops, including …