Benchmarking EfficientNet, MobileNet and ResNet Architectures for Cassava Disease Detection in Agricultural Robotics
Michael Aboh · Journal of Engineering Research and Reports · 2025
Aim: To demonstrate the feasibility of lightweight deep learning models for cassava disease detection, emphasizing their suitability for deployment on agricultural robots and other edge devices where computational efficiency is critical. Study Design: Experimental benchmarking of...
Open access
Research Article
10.9734/jerr/2025/v27i101680