Journal
SENSORS
Volume 22, Issue 3, Pages -Publisher
MDPI
DOI: 10.3390/s22030757
Keywords
remote sensing; hyperspectral; plant diseases; early detection; oil palm; citrus; cereals; solanaceae
Ask authors/readers for more resources
This review presents the modern advances in early plant disease detection using hyperspectral remote sensing. It identifies the current gaps in experimental methodologies, suggests further directions for methodological development, and provides a systematic table of disease detection results for different plants using hyperspectral remote sensing.
The development of hyperspectral remote sensing equipment, in recent years, has provided plant protection professionals with a new mechanism for assessing the phytosanitary state of crops. Semantically rich data coming from hyperspectral sensors are a prerequisite for the timely and rational implementation of plant protection measures. This review presents modern advances in early plant disease detection based on hyperspectral remote sensing. The review identifies current gaps in the methodologies of experiments. A further direction for experimental methodological development is indicated. A comparative study of the existing results is performed and a systematic table of different plants' disease detection by hyperspectral remote sensing is presented, including important wave bands and sensor model information.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available