Recent attempts, advances and challenges, as well as future perspectives regarding the
application of proximal hyperspectral sensing (where sensors are placed within 10 m above …

China is one the largest maize (Zea mays L.) producer worldwide. Considering water deficit
as one of the most important limiting factors for crop yield stability, remote sensing …

Capparis spinosa L.(caper) is a halophytic plant that grows in semi-arid or arid
environments. The current study used an integrated experimental and computational …

Global warming presents a significant threat to the sustainability of agricultural systems,
demanding increased irrigation to mitigate the impacts of prolonged dry seasons. Efficient …

Hyperspectral images (HSIs) have abundant spectral and spatial information, which shows
bright prospects in the application industry of urban–rural. Thus, HSI classification has …

Green or purple lettuce varieties produce many secondary metabolites, such as
chlorophylls, carotenoids, anthocyanins, flavonoids, and phenolic compounds, which is an …

Reflectance hyperspectroscopy is recognised for its potential to elucidate biochemical
changes, thereby enhancing the understanding of plant biochemistry. This study used the …

Reflectance spectroscopy, in combination with machine learning and artificial intelligence
algorithms, is an effective method for classifying and predicting pigments and phenotyping in …

Photosynthesis is a key process in plant physiology. Understanding its mechanisms is
crucial for optimizing crop yields and for environmental monitoring across a diverse range of …

The olive tree (Olea europaea L.) is the main fruit tree in most of the arid and semi-arid
regions of Tunisia, which is where the problem of salinity is more pronounced. Salinity is one …