Utilizing deep learning algorithms for fruit ripening stage classification

Author:

Thambi Pon Bharathi Asai,Ramalingam Lakshmi,Suresh Anjana,Sebastian Renswick

Publisher

AIP Publishing

Reference10 articles.

1. Raja Hamza, Mohamed Chtourou. Apple Ripeness Estimation using Artificial Neural Network. July 2018; International Conference on High Performance Computing & Simulation.

2. Handra Sekhar Nandi, Bipan Tudu, and Chiranjib Koley. A Machine Vision-Based Maturity Prediction System for Sorting of Harvested Mangoes. July 2014; IEEE transactions on instrumentation and measurement.

3. Gang Lv, Haiqing Yang, Ning Xu and Abdul M. Mouazen. Identification of Less-ripen, Ripen, and Over-ripen Grapes during Harvest Time based on Visible and Near-infrared (Vis-NIR) Spectroscopy. 2012; IEEE.

4. Ripeness Classification of Bananas Using an Artificial Neural Network

5. K. Kipli, H. Zen, M. Sawawi et. al. Image processing mobile application for banana ripeness evaluation. 2018; International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA), pp. 1–5.

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