AGHRNet: An attention ghost-HRNet for confirmation of catch-and-shake locations in jujube fruits vibration harvesting.

Comput. Electron. Agric.(2023)

Cited 7|Views9
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Abstract
•Proposing an attention Ghost block to strengthen feature learning and lighten the model.•A novel hybrid loss function is designed to address the class imbalance problem.•A new deep learning framework, namely AGHRNet, is constructed to implement tree trunk and branch segmentation.•Combined CNN with machine learning algorithm for confirmation of catch‐and‐shake locations.
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Key words
Jujube tree, AGHRNet, Catch-and-shake harvesting, Segmentation, Deep learning
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