1. The Inter Islamic Network on Information Technology (INIT) in collaboration with Inter-Islamic Network on Space Sciences & Technology (ISNET) is organizing online training course on Leveraging AI for Precision Agriculture.
2. The course will offer a comprehensive examination of the synergy between AI, aerial mapping, and agricultural methodologies. Through a blend of theoretical fundamentals and practical applications, participants will delve into the challenges, opportunities, and future directions for agricultural advancement. Key topics include technique for aerial data acquisition followed by implementation of AI algorithms for crop’s health monitoring, yield estimation & stress analysis. Through case studies and real-world examples, participants will gain insights into optimizing agricultural systems for enhanced efficiency and sustainability.

3. Learning Outcomes
   • Understanding the concept of Precision Agriculture and identify the role of AI in revolutionizing agriculture.
   • Gaining insights for implementing AI within agriculture which involves data collection techniques along with crop’s health monitoring and yield prediction.
   • Interactive discussions and Q&A sessions to deepen understanding and clarify doubts.

4. Target Audience

The course is specifically designed for professionals, researchers, and students who possess a foundational understanding of machine learning, deep learning, remote sensing, and agricultural sciences. target audience is:

• Agriculture Researchers and Scientists: Those who are keen to explore the application of AI in precision agriculture to enhance crop health monitoring, yield estimation, and stress analysis.

• Data Scientists and AI Enthusiasts: Individuals with a basic knowledge of machine learning and deep learning who are interested in applying these skills to agricultural data for optimizing farming practices.

• Remote Sensing Specialists and Geospatial Analysts: Professionals who wish to integrate aerial mapping techniques with AI algorithms for advanced agricultural applications.

• Agricultural Technologists and Consultants: Experts looking to stay ahead in the field by leveraging AI tools and techniques to offer data-driven insights and solutions for sustainable farming.

• Graduate Students and Academics: Those pursuing studies or research in AI, agriculture, remote sensing, or geospatial technologies, aiming to gain a multidisciplinary understanding of how these fields intersect to revolutionize modern agriculture.

5. Registration Form and Programme are attached.

6. Deadline: October 21, 2024

For further information, please contact:

Mr Muhammad Atiq-ur-Rehman
Senior Manager (P&D and HRD)
Directorate of Planning, Development and Human Resource Development
3rd Floor, Faculty Block – II
COMSATS University, Islamabad, Pakistan
Phone No. (+92 51) 90495024
Email: muhammad_atiq@comsats.edu.pk