Non-Invasive Sweetness Classification for Citrus Maxima

Author:

Quinola Cheryl V.,Lapitan Jayssa N.,Pelletero Maybell Hope S.,Adtoon Jetron J.,Linsangan Noel B.

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Electronic Nose Approach in Identifying Ripe Tomato Fruit Using LeNet-5 Structure;2024 7th International Conference on Information and Computer Technologies (ICICT);2024-03-15

2. Identification of Herbaceous Plants with Electronic Nose using Fuzzy Logic Algorithm;2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE);2023-10-27

3. Recognizing the sweet and sour taste of pineapple fruits using residual networks and green-relative color transformation attached with Mask R-CNN;Postharvest Biology and Technology;2023-02

4. Electronic Nose and Deep Learning Approach in Identifying Ripe Lycopersicum esculentum L. TomatoFruit;2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT);2022-10-03

5. Non-destructive Determination of Sweetness of Philippine Fruits using NIR Technology;2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET);2022-09-13

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