Mandarin orange (Citrus reticulata Blanco cv. Batu 55) ripeness parameters prediction using combined reflectance-fluorescence images and deep convolutional neural network (DCNN) regression model

Author:

Al Riza Dimas Firmanda,Ikrom Abdul Mulukul,Tulsi Ahmad Avatar,Darmanto ,Hendrawan Yusuf

Publisher

Elsevier BV

Reference31 articles.

1. Hateful meme prediction model using multimodal deep learning;Ahmed,2021

2. Mango (Mangifera indica cv. Sein Ta Lone) ripeness level prediction using color and textural features of combined reflectance-fluorescence images;Al Riza;J. Agric. Food Res.,2023

3. External defects and severity level evaluation of potato using single and multispectral imaging in near infrared region;Al Riza;Inf. Process. Agric.,2022

4. Mandarin orange (Citrus reticulata Blanco cv. Batu 55) ripeness level prediction using combination reflectance-fluorescence spectroscopy;Al Riza;Spectrochim. Acta Part A Mol. Biomol. Spectrosc.,2023

5. Smart brain tumor diagnosis system utilizing deep convolutional neural networks;Anagun;Multimed. Tools Appl.,2023

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