Gupta, Ankita (2023) Improved Hybrid Preprocessing Technique for Effective Segmentation of Wheat Canopies in Chlorophyll Fluorescence Images. EAI Endorsed Transactions on AI and Robotics.
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Abstract
Precision agriculture heavily relies on accurately segmenting wheat canopies from chlorophyll fluorescence (CHF) images. However, these images often face challenges due to inherent noise and illumination variations, primarily induced by the thermal activity of photons emitting a fluorescence effect.
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:08 |
| Last Modified: | 11 Apr 2026 00:44 |
| URI: | http://eprints.eai.eu/id/eprint/51304 |
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