Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

The objective of this article is to review the state-of-the-art remote sensing technologies,
including platforms and sensors, the topics representing the primary research interest in the …

Numerous sensors have been developed over time for precision agriculture; though, only
recently have these sensors been incorporated into the new realm of unmanned aircraft …

Since the advent of hyperspectral remote sensing in the 1980s, it has made important
achievements in aerospace and aviation field and been applied in many fields …

This work presents the design and development of a multispectral imaging system to
precision agriculture tasks. The imaging system features two small digital cameras …

VTT's Fabry-Perot interferometers (FPI) technology enables creation of small and cost-
efficient microspectrometers and hyperspectral imagers–these robust and light-weight …

Real-time semantic segmentation of point clouds has increasing importance in applications
related to 3D city modelling and mapping, automated inventory of forests, autonomous …

Wound size measurement is an important indicator of wound healing. Nurses measure
wound size in terms of length× width in wound healing assessment, but it is easy to …

Multiple kernel learning (MKL) is an efficient way to improve hyperspectral image
classification with few training samples by integrating spectral and spatial features …

The classic Offner spectrometer has the advantages of having a simple structure, light
weight, and high imaging quality. It is easily to achieve a fixed spectral resolution but cannot …