Hyperspectral imaging has been extensively investigated as an emerging, promising
technique for measuring the quality and protection of horticultural and agricultural products …

Water is a crucial component for plant growth and survival. Accurately estimating and
simulating plant water content can help us promptly monitor the physiological status and …

We used the secondary hyperspectral data set (leaf reflectance of maize) taken in the
spectral range from 350 to 2500 nm in a field (under low and high nitrogen conditions) and …

The productivity of plants is considerably affected by various environmental stresses.
Exploring the specific pattern of the near-infrared spectral data acquired non-destructively …

Agricultural productivity is affected by natural disasters, such as drought and flood, which
can be assessed by remote sensing (RS) technology. The main objective of this research is …

Traditional techniques for measuring leaf nitrogen content (LNC) involve slow and laborious
processes, and radiometric data have been used to assist in the nutritional analysis of …

The hyperspectral image provides rich spectral information content, which facilitates multiple
applications. With the rapid advancement of the spatial and spectral resolution of optical …

Hyperspectral imaging has been extensively investigated as an emerging, promising
technique for measuring the quality and protection of horticultural and agricultural products …

Abstract Recently, the Hyper Spectral Image (HSI) classification relies as a well-established
study area in the topic related to Remote Sensing (RS). The classification of HSI is used in …

Hyperspectral remote sensing is a useful technique for detecting spatio-temporal changes in
crop morphological and physiological health. In order to identify the pestsensitive bands for …