Resnet - Based Detection of Eggplant Leaf Diseases: A Machine Learning Approach

Dr. John C. Amar

Abstract: This study focuses on developing an eggplant leaf disease detection system using the ResNet algorithm. The system utilizes machine learning to analyze and classify leaf diseases based on image data, ensuring accurate and efficient disease identification. The study follows a developmental research approach, assessing system performance based on ISO 25010 characteristics, including functional suitability, reliability, and usability. Results indicate that participants strongly agree with the system?s effectiveness, with high reliability and efficiency. The findings suggest that this detection system can serve as a valuable tool for farmers and agricultural professionals in disease management.

Keywords: ResNet, eggplant leaf disease, deep learning, convolutional neural network, CNN, agricultural technology

How to Cite?: Dr. John C. Amar, "Resnet - Based Detection of Eggplant Leaf Diseases: A Machine Learning Approach", Volume 14 Issue 2, February 2025, International Journal of Science and Research (IJSR), Pages: 1684-1687, https://www.ijsr.net/getabstract.php?paperid=SR25226134757, DOI: https://dx.doi.org/10.21275/SR25226134757