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 …

Efficiently analyzing the relationship between plant phenotypes, quality, and resistance
remains challenging. In this study, deep learning models based on hyperspectral data and …

Non-destructive plant stress phenotyping begins with traditional one-dimensional (1D)
spectroscopy, followed by two-dimensional (2D) imaging, three-dimensional (3D) or even …

Plant leaf water content significantly influences photosynthetic efficiency and crop yield. Leaf
water content (LWC) and equivalent water thickness (EWT) are indicators that reflect the …

Drought stress is one of the main factors limiting horticultural crops, especially in
environments such as the Mediterranean basin, which is often characterized by sub-optimal …

Early detection of drought stress is essential for preventing permanent plant damage and
minimizing yield loss. This study utilized hyperspectral imaging at the leaf level to visualize …

Hyperspectral imaging has emerged as a pivotal technology in agricultural research,
offering a powerful means to non-invasively monitor stress factors, such as drought, in crops …

Wheat (Triticum aestivum L.) is a major crop consumed and cultivated worldwide, with
various varieties bred to meet the growth characteristics and resistances required by the …

Potato (Solanum tuberosum L.) is one of the most significant vegetable crops grown
globally, especially in developing countries. Over the last few years, global potato …

Grapefruit is a cold-sensitive citrus fruit, and freezing can spoil the harvest when the fruit is
still on the tree and even later during manufacturing and transport due to inappropriate …