30 Mar 20261cites
Deep Learning Techniques for Precise Segmentation of Plant Species: Using Deeplabv3Plus-U-Net and UAV ImageryPublisher siteRemote Sensing in Earth Systems Sciences, Remote Sensing in Agriculture
Active, last published 2026
In remote sensing in agriculture
Mohamed Jibril
Daiaeddine
Scholar“Research focused on Remote Sensing in Agriculture and adjacent fields.”
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01 · About the work
What I study
ohamed Jibril Daiaeddine is a researcher working on Remote Sensing in Agriculture. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Mohamed's work has been cited 3 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Remote Sensing in Agriculture×3Smart Agriculture and AI×2Remote Sensing and LiDAR Applications×2
04 · Where I am
Affiliations
Affiliation on published researchUniversité Sultan Moulay Slimane, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
3 works23 Dec 20241cites
Modeling plant species segmentation using an advanced U-Net and UAV remote sensing: a case study in the High Atlas Mountains of MoroccoPublisher siteModeling Earth Systems and Environment, Smart Agriculture and AI
18 Oct 2024Open access1cites
UAV imagery, advanced deep learning, and YOLOv7 object detection model in enhancing citrus yield estimationPublisher siteFoods and raw materials, Smart Agriculture and AI
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