Computational Prediction of Disease Detection and Insect Identification using Xception model
Lidia Cleetus, Raji Sukumar A., N.K. Hemalatha
The paper compares deep learning models for crop disease and pest detection, finding Xception achieves 82.89% accuracy for disease and 77.9% for pests.
bioRxiv · Aug 10, 2021 · PreprintBioinformatics