Quantifying Leaf Symptoms of Sorghum Charcoal Rot in Images of Field-Grown Plants 9 Using Deep Neural Networks
Emmanuel Miguel Gonzalez, Ariyan Zarei, Sebastian Calleja, Clay G. Christenson, Bruno Rozzi, Jeffrey Demieville, Jiahuai Hu, Andrea L. Eveland, Brian P. Dilkes, Kobus Barnard, Eric H. Lyons, Duke Pauli
This paper develops deep learning models to detect and quantify sorghum charcoal rot in field images, finding that EfficientNet-B3 and FCN achieve high accuracy and efficiency.
The Plant Phenome Journal · Jun 27, 2024Peer-reviewedPlant Biology