AI for Sustainable Farming: Drone Weed Detection to Reduce Herbicide Use

​Weeds compete with crops for water, nutrients, and sunlight. Identifying them across large fields can be challenging, and applying herbicides uniformly may lead to unnecessary chemical use.

​In this webinar, we’ll explore how AI and computer vision can use drone imagery to distinguish crops from weeds. Through a real-world Omdena–SkyMaps project, we’ll look at the approach behind automated weed detection, how the resulting maps can guide more targeted interventions, and the challenges of applying computer vision in real farming conditions.

​What we’ll explore

​🔹 How drone imagery supports precision agriculture
🔹 How computer vision distinguishes crops from weeds
🔹 How AI models detect and map individual plants
🔹 How weed maps can help guide targeted herbicide application
🔹 Challenges in training and applying AI models to agricultural imagery

​Who should attend

​Agriculture and agritech decision-makers, farm operators, precision agriculture professionals, crop management specialists, drone technology providers, and professionals working in AI, computer vision, and remote sensing.

​📅 28 October 2026
🕒 3:00–3:45 PM UTC
💻 Online

​Join us to learn how drone imagery and AI can support more targeted weed management and more efficient agricultural practices.

​Note: This is a pre-recorded webinar with an AI-generated voice.