Quantifying Leaf Symptoms of Sorghum Charcoal Rot in Images of Field-Grown Plants 9 Using Deep Neural Networks
E. M. Gonzalez, A. Zarei, S. Calleja, C. Christenson, B. Rozzi, J. Demieville, J. Hu, A. L. Eveland, B. L. Dilkes, K. Barnard, E. Lyons, D. 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.
bioRxiv · Apr 17, 2024Plant Biology