Search Results for author:
Found 3 papers, 0 papers with code
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields
In this study, we trained and evaluated four real-time semantic segmentation models and three object detection models specifically for aphid cluster segmentation and detection.
Kitchen Food Waste Image Segmentation and Classification for Compost Nutrients Estimation
The escalating global concern over extensive food wastage necessitates innovative solutions to foster a net-zero lifestyle and reduce emissions.
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild
We have collected and labeled a large aphid image dataset in the field, and propose the use of real-time semantic segmentation models to segment clusters of aphids.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
