A Multi-View Sugarcane Bud Image Dataset with Morphological, Physiological, and Agronomic Features for Machine Learning and Precision Agriculture Applications
Published: 20 May 2026| Version 2 | DOI: 10.17632/t5mm8xsjrx.2
Contributors:
Madhuri Magar, , Description
This dataset presents a multi-view sugarcane bud image dataset developed for machine learning, computer vision, and precision agriculture research applications. The dataset contains RGB images of sugarcane buds collected under natural agricultural field conditions from multiple viewpoints including center-view, left-oriented, and right-oriented orientations. The dataset consists of 486 annotated sugarcane bud samples organized into structured directories
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Categories
Computer Science, Artificial Intelligence, Computer Science Applications, Artificial Intelligence Applications, Agriculture