Robust Multi-Input Multi-Output Analysis for Crop Row Segmentation and Furrow Line Detection in Diverse Agricultural Fields

Robust Multi-Input Multi-Output Analysis for Crop Row Segmentation and Furrow Line Detection in Diverse Agricultural Fields

Agricultural robots have transformed traditional crop cultivation and harvesting by addressing labor shortages and enhancing precision and quality through artificial intelligence. Precise detection of furrow centerlines is critical for the seamless navigation of these robots. Previous methods often...

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Bibliographic Details
Main Authors: Muhammad Ibrahim Zain Ul Abideen, Dewa Made Sri Arsa, Talha Ilyas, Hyunggi Jo, Sang Cheol Kim, Hyongsuk Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
precision agriculture
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/11058970/
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