Detection and Management of Water Stress at Plants by Deep Learning and Image processing Case-study of Tomato

Detection and Management of Water Stress at Plants by Deep Learning and Image processing Case-study of Tomato

This project aims to develop an innovative technique for detecting water stress in tomato plants using deep learning and image processing techniques, and to integrate it into a mobile application for real-time monitoring. The methodology adopted includes the acquisition and preprocessing of image da...

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Bibliographic Details
Main Authors: Guerbaoui Mohammed, Ichou Ismail, Bakziz Zakaria, Selmani Abdelouahed, El Faiz Samira, Ed-Dahhak Abdelali, Benhala Bachir, Lachhab Abdeslam
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00007.pdf
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