Hovakimyan article named journal’s top download

MechSE professor Naira Hovakimyan coauthored an article that has been downloaded the most among all articles from Computers and Electronics in Agriculture over the past 90 days.

The article is titled “Modeling yield response to crop management using convolutional neural networks.”

Read the article here.

Hovakimyan leads the Advanced Controls Research Laboratory at Illinois, which tackles a wide range of controls-related areas, including drone delivery technology, machine learning, cyber-physical systems, adaptive flight control, design of human-centered automation, and more.