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cs.CV2024
Importance of realism in procedurally-generated synthetic images for deep learning: case studies in maize and canola
Nazifa Azam Khan, Mikolaj Cieslak, Ian McQuillan
Artificial neural networks are often used to identify features of crop plants. However, training their models requires many annotated images, which can be expensive and time-consum…
cs.CV2020
A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize
Nazifa Khan, Oliver A. S. Lyon, Mark Eramian +1
Manual determination of plant phenotypic properties such as plant architecture, growth, and health is very time consuming and sometimes destructive. Automatic image analysis has be…