HIGHLIGHTS
- What: By amalgamating the power of deep learning with multiple imaging data of six sides of avocado fruits, this approach aims to improved performance. This work has five classes for this output layer.
- Who: gerry from the Faculty of Science and Technology, Suan Sunandha Rajabhat University, Thailand have published the research work: Utilization of Multi-Channel Hybrid Deep Neural Networks for Avocado Ripeness Classification, in the Journal: (JOURNAL)
- How: The results showed that the developed fine-tuned MCHDNN had an accuracy of 94.10% in training 90.13% in validation and 90.18 . . .
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