Localizing plant leaves using maximum anchor boxes in region proposal convolutional neural networks

Debojyoti Misra; Prakash Duraisamy; Tushar Sandan

doi:10.1117/12.3015526

6 June 2024 Localizing plant leaves using maximum anchor boxes in region proposal convolutional neural networks

Debojyoti Misra, Prakash Duraisamy, Tushar Sandan

Proceedings Volume 13060, Sensing for Agriculture and Food Quality and Safety XVI; 1306004 (2024) https://doi.org/10.1117/12.3015526
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

As the population of the earth grows, the demand for food grows proportionally. Early and cost-effective detection of plant diseases can result in less food loss throughout the world. The current methods for image-based plant disease detection tend to fail in field conditions. Our method uses region proposal networks to localize diseased leaves for detection. We discard no prior anchor boxes, which increases the average recall of the network, resulting in better localization.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Debojyoti Misra, Prakash Duraisamy, and Tushar Sandan "Localizing plant leaves using maximum anchor boxes in region proposal convolutional neural networks", Proc. SPIE 13060, Sensing for Agriculture and Food Quality and Safety XVI, 1306004 (6 June 2024); https://doi.org/10.1117/12.3015526

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