AI and Remote Sensing for Agricultural Insights: From Satellite Imagery to Decision Support

Timely and accurate agricultural data remains difficult to obtain in many regions. This webinar explores how AI and remote sensing can improve agricultural decision-making through machine learning and satellite imagery.

The session focuses on innovations that enhance monitoring, planning, and climate resilience in food systems.

What the Webinar Covers

The speakers will examine practical opportunities for deploying AI in remote sensing for agriculture. They'll discuss design challenges that emerge in real-world agricultural systems.

The session highlights technical breakthroughs alongside implementation hurdles. You'll learn about both the potential and the practical constraints of these technologies.

Key Topics

• Land use classification using AI

• Agricultural monitoring through satellite imagery

• Crop yield estimation in dryland systems

• Invasive species mapping for rangeland management

• Integration of remote sensing data with machine learning

• Closing data gaps in resource-limited settings

Who Should Attend

• Agricultural researchers and data scientists

• Remote sensing specialists

• Agricultural extension officers and advisors

• Climate adaptation practitioners

• Development professionals working in food systems

• Policymakers focused on agricultural planning

• Technology providers developing agricultural tools