How Good is Deep-Learning for Weed Identification using UAV-Imagery

Dharmendra Saraswat, associate professor of agricultural and biological engineering, and Varun Aggarwal, graduate student in agricultural and biological engineering at Purdue University recently presented a webinar titled How Good is Deep-Learning for Weed Identification Using UAV-Imagery.

Deep-learning methods are showing a great promise for identifying objects of interest based on benchmark test datasets. This presentation discusses results from a study assessing suitability of a few deep-learning models for identifying weeds based on real-field imagery data acquired using unmanned aerial vehicle (UAV).

View the webinar here:

Weekly Webinar Series

This weekly webinar series featuring experts in data science and digital agriculture at Purdue University kicked off on Feb. 4 and concluded on May 13. The Data Driven Agriculture webinars explored ways digital agriculture and data science can impact agriculture today and into the future. See the full playlist of past webinars on Purdue Ag’s YouTube Channel.

This series was hosted by Purdue College of Agriculture and supported in part by the Wabash Heartland Innovation Network (WHIN).