The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …

Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …

Leaf chlorophyll, as a key factor for carbon circulation in the ecosystem, is significant for the
photosynthetic productivity estimation and crop growth monitoring in agricultural …

Monitoring the aboveground biomass (AGB) of maize is essential for improving site-specific
nutrient management and predicting yield to ensure food safety. A low-altitude unmanned …

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 …

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 …

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 …

Unmanned aerial vehicle (UAV)-based remote sensing (RS) possesses the significant
advantage of being able to efficiently collect images for precision agricultural applications …

Environmental protection of water resources is of critical importance to daily life of human
beings. In recent years, monitoring the variation of water quality using remote sensing …

Accurately and timely diagnosis of plant nitrogen (N) status is imperative for N fertilization
management and yield prediction of summer maize. This study was aimed to identify the …