New Technologies for Food Security and Sustainable Development

November 5, 2024 - University of Bechar

In collaboration with EDiS'2024

About the Event

The South-SMART FARMING Workshop is a flagship event organized by the LAPECI, RIIR, LBRAP laboratories and the University of BECHAR. Our mission is to explore cutting-edge technologies shaping the future of agriculture and sustainable development.

Join us on November 5, 2024 at the University of BECHAR Auditorium for a day of innovation and discovery.

Organizing Committee

Pr Kechar Bouabdellah

Pr Bekki Abdelkader

Pr Benyamina Abou El Hassan

Pr Loukil Lakhdar

Pr Benahmed Khelifa

Pr Rezki Meriem Amina

Pr Abdi Mustapha Kamel

Dr Nourredine Yahia

Dr Bidai Zahia

Dr Asma El Zerey-belaskri

Dr Bidai Yasmina

Mr Aidi Abdeldjallil

Dr Benkrama Soumia

Dr Seddiki Nouredine

Dr Belghachi Mohamed

Speakers

Congduc PHAM

Congduc PHAM

Full Professor, University of PAU, France
Said MAHMOUDI

Said MAHMOUDI

Full Professor, University of Mons, Belgium

Detailed Program

Time Activity Duration
8:30-9:00 Participant reception and registration 30 min
9:00-9:15 Opening Address 15 min
9:15-9:50 Plenary Conference 1: "Transdisciplinary research for sustainable development: illustration with PRIMA INTEL-IRRIS and PRIMA RESILINK"
Prof. Congduc PHAM (France) 		40 min
9:50-11:10 Presentation of accepted papers for the workshop (4 presentations)
  • Proposed Deep Learning approach for Plant Diseases Detection
  • PSO-based Feature Selection for DDoS Detection using Machine Learning in Smart Agriculture
  • Creation of a digital twin based on microtensiometer indices (Flora pulse), climatic variables and harvest data for sustainable production in Stone Fruit Crops.
  • Development of a neural network system for predicting topsoil moisture using remote sensing and rainfall forecast data
 80 min
11:10-11:30 Coffee break / Poster Presentation (4 posters) 20 min
11:30-13:10 Presentation of accepted papers for the workshop (5 presentations)
  • Using IOT and WSNs Technology for Monitoring an Aquaponic Greenhouse System
  • A Smart Farming Solution for Greenhouse Environment Control Using PIC16F877 -1 (2)
  • DSCSkipNet: An Accuracy-Complexity Trade-off for Effective Potato Disease Identification in Uncontrolled Environments
  • Optimized Deep Learning Models for Edge Computing : A Comparative Study on Raspberry Pi4 for Real-Time Plant Disease Detection
  • Plant Leaf Segmentation in Ecological Environments via Graph Diffusion method
 100 min
13:10-14:30 Lunch 80 min
14:30-15:10 Plenary Conference 2: "Cross device and silo federation learning: Medical use cases and security challenge"
Prof. Said Mahmoudi (Belgium) 		40 min
15:10-16:30 Presentation of accepted papers for the workshop (4 presentations)
  • A Reliable Apple Leaf Disease Identification Using a Deep Learning-Based MobileNetV2 to Safeguard Apple Fruit Safety
  • Greenhouse Irrigation System based IoT
  • An IoT-Edge framework for wastewater treatment plant
  • Virtual Sensor for Efficient Soil Fertilizer and Water Content Differentiation
 80 min
16:30-17:00 Round table: recommendations and closing 30 min
17:00-17:20 Coffee break 20 min

Organizers

Logo LAPECI Logo LBRAP Logo Université de Béchar Logo LRIR

Contact Us

Email: bkechar2000@yahoo.fr

Tel: +213 698240729