Pre-processing of drought/water stress detection chlorophyll fluorescence wheat images for efficient segmentation

Published: 30 August 2022| Version 3 | DOI: 10.17632/4y8s925fkm.3
Contributors:
ankita gupta,
,

Description

The data consist of a file system-based data of Raj 3765 variety of wheat. There are twenty-four chlorophyll fluorescence images (Control and Drought) that have been captured for a period of sixty days. A total of (1440 x 2) images are used for this research work. The generated chlorophyll fluorescence set is subjected to various pre-processing operations including noise removal, and contrast enhancement. Pre-processed images are subjected to segmentation to increase water stress detection accuracy for automation

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Categories

Image Processing, Wheat, Water Stress

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