Track Overview

The TechAgri track provides a platform for presenting and discussing cutting-edge advances in intelligent agricultural technologies. It aims to bridge multidisciplinary communities spanning automation, artificial intelligence, sensing systems, and agricultural sciences.

Smart agriculture integrates AI, Blockchain, IoT, and other advanced technologies to enhance efficiency, sustainability, and resilience. This track explores how such technologies address challenges including climate change, resource scarcity, and supply-chain transparency, enabling data-driven and connected agricultural systems.

We welcome original research papers, case studies, and technical demonstrations highlighting scientific advances, methodologies, and innovative applications across the agricultural value chain.

Topics of Interest

• AI-based crop disease detection and yield prediction
• Resource optimization using AI techniques
• Data scarcity, transfer learning, and federated learning in agriculture
• AI-driven decision support systems
• Model interpretability and trust in agronomic AI
• Autonomous robots for harvesting and monitoring
• Edge AI and low-power sensing for rural environments
• Blockchain for supply chain transparency and traceability
• IoT for soil, water, and climate monitoring
• Intelligent control and automation systems
• Mobile and digital platforms for precision agriculture
• Data analytics, integration, and visualization
• Optimization of water, fertilizer, and energy usage
• Drone technologies and computer vision for crop monitoring

Session Objectives

• Showcase recent technological advances in smart agriculture and AI
• Encourage interdisciplinary dialogue between computational and agricultural communities
• Identify emerging trends, challenges, and collaboration opportunities
• Promote sustainable, connected, and data-driven agriculture solutions

Target Audience

• Researchers in AI, automation, robotics, IoT, and blockchain
• Agricultural engineers and agritech innovators
• Graduate students and early-stage researchers
• Professionals in precision agriculture and smart farming

Submission Guidelines

Authors are invited to submit full papers according to the main conference submission guidelines. All submissions will undergo peer review, and accepted papers will be published in the conference proceedings.

Important Dates

Paper submission, notification, and final paper deadlines: see the official conference web page.

Track Organizers

Assia Kourgli
USTHB University, Algeria

Wafa Ben Slama
University of Sousse, Tunisia

Program Committee

• Wafa Ben Slama Souei — University of Sousse, Tunisia
• Chiraz El Hog — ISSAT, University of Sousse, Tunisia
• Yaroub Elloumi — Medical Technology and Image Processing Laboratory, Tunisia
• Imane Haidar — Beirut Arab University, Lebanon
• Akram Idani — Grenoble INP – UGA / Verimag Lab, France
• Hajer Nabli — University of Sousse, Tunisia
• Riza Bin Sulaiman — National University of Malaysia, Malaysia
• Hela Zorgati — Independent Researcher, Tunisia
• Mahdi Khosravy — Osaka University, Japan
• Khalil Drira — LAAS-CNRS, France
• Madim El-Sakaan — Efrei Paris, France
• Xiangbo Kong — Toyama Prefectural University, Japan
• Ravi Raman — Alligent Research, USA
• Hari Kalva — Florida Atlantic University, USA
• Yuting Geng — Ritsumeikan University, Japan
• Qingxin Xia — Osaka University, Japan
• Fares Bouriachi — USTHB University, Algeria
• Yacine Harkat — USTHB University, Algeria
• Kamel Boudjit — USTHB University, Algeria
• Assia Kourgli — USTHB University, Algeria
• Birgy Lorenz, Tallinn University of Technology, Estonia
• Marwa Chaieb, Expleo, France
• Amira Methni, Asterios Technologies, France
• Mathieu JAN, CEA, France
• Mohamed Ghazel, Université Gustave Eiffel, France
• Aida Lahouij, Monastir University, Tunisia
• Wided Ben Abid, University of kairouan, Tunisia
• Soumaya Louhichi, University of Jendouba, Tunisia
• Faiza Hocine, UMBB, Algeria
• Nadra Ben Romdhane, ISITCOM, Tunisia
• Chiraz Elhog, Qassim University, Saudia Arabia