A 3-day workshop on

AI in Remote Sensing for Precision Agriculture: Enhancing Data Extraction, Mapping, and Visualization Techniques

Exploring Sentinel Hub, Pix4D, and GIS for Advanced Precision Agriculture Applications

To provide participants with a comprehensive understanding of the role of artificial intelligence (AI) in remote sensing for precision agriculture.
To familiarize participants with advanced techniques for data extraction from Sentinel Hub, a leading satellite imagery platform, and its application in precision agriculture.
To enable participants to gain hands-on experience in using Pix4D, a powerful software for aerial image processing and mapping, for precision agriculture applications.
To explore the integration of AI and remote sensing data with geographic information systems (GIS) for effective visualization and analysis of agricultural landscapes.
To facilitate knowledge sharing, networking and fostering collaboration among researchers, professionals, and stakeholders in the field of precision agriculture and remote sensing.

Enhanced understanding: Participants will gain a comprehensive understanding of the role of AI in remote sensing for precision agriculture, including the principles, methodologies, and applications in data extraction, mapping, and visualization.
Practical skills: Participants will acquire hands-on experience in using tools and software such as Sentinel Hub, Pix4D, and GIS for data extraction, mapping, and visualization in the context of precision agriculture. They will develop practical skills that can be applied in their research, industry projects, or decision-making processes.
Knowledge exchange: The workshop will provide a platform for knowledge sharing and networking among participants, enabling them to exchange ideas, best practices, and innovative approaches in AI-driven remote sensing for precision agriculture. This interaction will foster collaborations and the sharing of insights and experiences.
Application readiness: Participants will be equipped with the necessary skills, knowledge, and resources to apply AI-based remote sensing techniques effectively in precision agriculture. They will be better prepared to implement these techniques in their work, enabling them to contribute to improved crop monitoring, yield prediction, resource optimization, and sustainable agricultural practices.