2025
Green, Intelligent, Optimized, and Visual Watermarking Solutions Applied to Precision Farming to Optimize Crop’s PAYLOAD and Enhance Its Objective and Subjective DataLecture notes in networks and systems, Smart Agriculture and AI
Active, last published 2026
In smart agriculture and ai
Youness
Zahid
“Research focused on Smart Agriculture and AI and adjacent fields.”
Université Ibn-TofailMorocco
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Claim Your Profile01 · About the work
What I study
ouness Zahid is a researcher working on Smart Agriculture and AI. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Youness's work has been cited 0 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
05 · Research focus
Topics
Smart Agriculture and AI×10Greenhouse Technology and Climate Control×6Remote Sensing in Agriculture×2Advanced Steganography and Watermarking Techniques×2Plant Surface Properties and Treatments×2
06 · Where I am
Affiliations
CurrentlyUniversité Ibn-Tofail, Morocco
Research themes (UN SDGs)
07 · Selected work
Recent publications
View all 13 works2025
An Innovative and Visually Based Watermarking Applied to Integrity Protection of Objective and Subjective Plant’s PAYLOAD in a IoT Precision Farming PlatformLecture notes in networks and systems, Advanced Steganography and Watermarking Techniques
2025
A Novel Optimization of Green, Intelligent, and Secure Solutions Applied to Precision Farming to Enhance Still and Autonomous Mobile Node’s Objective and Subjective PAYLOAD FeaturesLecture notes in networks and systems, Smart Agriculture and AI
2025
A New Optimized, Green Computational Intelligence, Secure, and Sustainable Solutions in Precision FarmingLecture notes in networks and systems, Smart Agriculture and AI
2025
Applied Green Computational Intelligence-Based Solutions to Enhance Sustainability in Precision FarmingLecture notes in networks and systems, Smart Agriculture and AI
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