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Overview of our research activities and methodologies for developing AI-based solutions to protect palm trees from diseases, predict yield, analyze market trends, and enhance date quality in Tunisia.

The guiding questions for the investigation phase of our project.

The meeting focused on researching AI-based solutions for palm trees, with each team member selecting scientific articles related to disease protection, yield prediction, market analysis, and quality improvement. Articles will be analyzed based on problem statements, methodologies, and results, with an emphasis on identifying gaps and proposing innovations. Discussions covered AI in disease detection, predictive analytics, IoT integration, and market optimization. Next steps include refining analyses, documenting innovations, conducting comparative studies. The team will finalize critiques and innovation proposals before the next meeting.

The Investigate Phase in an AI project is all about ensuring the problem is well-defined, the data is usable, and the approach is viable before investing in model development

Using AI to help Tunisian farmers detect and predict date palm diseases caused by Oligonychus afrasiaticus. Learn how technology can revolutionize early detection and crop protection.