Machine Learning-Powered Segmentation of Forage Crops in RGB Imagery Through Artificial Sward Images

Machine Learning-Powered Segmentation of Forage Crops in RGB Imagery Through Artificial Sward Images

Accurate assessment of forage quality is essential for ensuring optimal animal nutrition. Key parameters, such as Leaf Area Index (LAI) and grass coverage, are indicators that provide valuable insights into forage health and productivity. Accurate measurement is essential to ensure that livestock ob...

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Bibliographic Details
Main Authors: Hugo Moreno, Christian Rueda-Ayala, Victor Rueda-Ayala, Angela Ribeiro, Carlos Ranz, Dionisio Andújar
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agronomy
Subjects:
machine learning
RGB imagery
forage crops
image segmentation
Leaf Area Index
grass coverage
Online Access:https://www.mdpi.com/2073-4395/15/2/356
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