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Konga Upendar

Publications (1)

Evaluation of YOLOv10n for Tomato Plant and Weed Detection in Agricultural Fields Using a Lightweight Deep Learning Approach

Apoorva Sharma, Arun Kumar, Hemant Kumar Sharma & Konga Upendar · Journal of Scientific Research and Reports · 2025

Deep learning techniques have emerged as powerful tools in precision agriculture, enabling automated crop monitoring and weed management. This study investigates the performance of the YOLOv10n model, a lightweight and computationally efficient deep learning architecture, for obj...

Open access Research Article 10.9734/jsrr/2025/v31i53010