Mansoura University Wins Second Place in the "FAO-JECT" Competition for Its Innovative Student Project "Agri Code"
In a new addition to its academic and innovation record, the Mansoura University team secured second place among Egyptian universities in the FAO-JECT competition, agricultural programming track, for their outstanding project Agri Code.
This achievement came under the patronage of Prof. Dr. Mohamed Ali Shata, Dean of the Faculty of Agriculture, and under the supervision of Associate Prof. Dr. Amr Ahmed Gaber, Director of the Innovation Support Office at the faculty and supervisor of the Food and Agriculture Model at Mansoura University.
The award ceremony was held on Sunday, April 27, 2025, at the headquarters of the Food and Agriculture Organization of the United Nations (FAO) in Cairo. The event was attended by Dr. Abdulhakim Elwaer, Assistant Director-General and Regional Representative of FAO for the Near East and North Africa and Acting FAO Representative in Egypt, alongside Dr. Hani Ayad, Executive Director of the Innovators and Geniuses Support Fund at the Ministry of Higher Education, as well as several FAO representatives and model supervisors.
The winning team included: student Ahmed Mohamed Tawheed and student Nada Mohamed El-Sayed El-Tantawy from the Plant Protection Program, and student Abdelrahman Mohamed Ibrahim and student Azza Mamdouh Gomaa from the Artificial Intelligence Program. Associate Prof. Dr. Amr Ahmed Gaber and student Mohamed Alaa Ghobour were also honored for their significant contributions to the success of the model’s activities at the university over the past year.
It is worth noting that the Agri Code project passed all phases of the competition, which lasted for more than three months. The project aims to develop a fully integrated digital platform—including a mobile application and website—designed to support and empower farmers by providing accurate agricultural information, connecting them with experts, and facilitating the marketing of their products.
The platform leverages advanced technologies such as artificial intelligence and the Internet of Things to diagnose plant diseases and offer innovative solutions. The project is expected to play a pivotal role in improving crop quality, reducing pesticide dependence, and sustainably increasing agricultural productivity.
