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cs.CV2026
LightTeaNet: A Weakly Supervised Lightweight CNN for Multi-Label Tea Leaf Disease Detection and Localization
Naif Haider Chowdhury, Md Rahim, Syed Farhan Hasan +2
Tea is known as an important crop in many parts of South and Southeast Asia, yet the production of tea is still hampered by the multiple diseases that decrease the quantity and qua…
cs.CV2026
BloomNet: Exploring Single vs. Multiple Object Annotation for Flower Recognition Using YOLO Variants
Safwat Nusrat, Prithwiraj Bhattacharjee
Precise localization and recognition of flowers are crucial for advancing automated agriculture, particularly in plant phenotyping, crop estimation, and yield monitoring. This pape…