Abstract: The existing classification of time-series data has difficulties that traditional methodologies struggle to address, such as complexity and dynamic variation. Difficulty with pattern ...
Abstract: This paper reviews the recent advancements in AI-driven weed management, focusing on image processing techniques and robotic approaches. With the integration of artificial intelligence, the ...
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