4 papers
Improving Lightweight Weed Detection via Knowledge Distillation
Ahmet OÄuz Saltık, Max Voigt, Sourav Modak +2
Weed detection is a critical component of precision agriculture, facilitating targeted herbicide application and reducing environmental impact. However, deploying accurate object d…
Exploring Model Quantization in GenAI-based Image Inpainting and Detection of Arable Plants
Sourav Modak, Ahmet OÄuz Saltık, Anthony Stein
Deep learning-based weed control systems often suffer from limited training data diversity and constrained on-board computation, impacting their real-world performance. To overcome…
Enhancing weed detection performance by means of GenAI-based image augmentation
Sourav Modak, Anthony Stein
Precise weed management is essential for sustaining crop productivity and ecological balance. Traditional herbicide applications face economic and environmental challenges, emphasi…
Generative AI-based Pipeline Architecture for Increasing Training Efficiency in Intelligent Weed Control Systems
Sourav Modak, Anthony Stein
In automated crop protection tasks such as weed control, disease diagnosis, and pest monitoring, deep learning has demonstrated significant potential. However, these advanced model…