UF scientists use AI algorithm to improve strawberry disease detection

In Department of Agricultural and Biological Engineering, News, Research & InnovationBy Brad BuckStory originally published on UF IFAS News

In newly published research, Won Suk “Daniel” Lee, a professor of agricultural and biological engineering and Natalia Peres, a professor of plant pathology, show how artificial intelligence (AI) can improve leaf wetness detection to help growers estimate the risk of their fruit getting infected with a fungal disease.