This paper reviews progress in hyperspectral remote sensing (HRS) in China, focusing on
the past three decades. China has made great achievements since starting in this promising …

Precisely monitoring the growth condition and nutritional status of maize is crucial for
optimizing agronomic management and improving agricultural production. Multi-spectral …

Alfalfa is a valuable and intensively produced forage crop in the United States, and the
timely estimation of its yield can inform precision management decisions. However …

The use of satellite-based Remote Sensing (RS) is a well-developed field of research. RS
techniques have been successfully utilized to evaluate the chlorophyll content for the …

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 and canopy nitrogen (N) status relates strongly to leaf and canopy chlorophyll (Chl)
content. Remote sensing is a tool that has the potential to assess N content at leaf, plant …

Remote sensing image is becoming an increasingly popular tool for crop lodging detection
because it conveniently provides features for building machine learning models and …

Life on Earth depends on photosynthesis. Photosynthetic systems evolved early in Earth
history, providing evidence for the significance of pigments in plant functions. Photosynthetic …

Recent advanced high-throughput field phenoty** combined with sophisticated big data
analysis methods have provided plant breeders with unprecedented tools for a better …

Although studies on species-level classification and map** using multisource data and
machine learning approaches are plenty, the use of data with ideal placement of central …