@inproceedings{9b6b4b3f4db542d8a3411e3477d5cf8b,
title = "Evaluation on the Diseased Damage Grading Model of the Fresh Destemmed Chilli Fruits",
abstract = "An automatic grading system is necessary for fresh destemmed chilli fruits. In previous works, a CNN model has been built to identify the diseased damages that appeared on the fruit{\textquoteright}s body, and a flipping mechanism has been designed to entirely recognition by rotating the fruits. This work focussed on evaluating and implementing the CNN model to classify the diseased damaged ones on the grading model. The training data set was updated to enhance the success rate of the recognition process. Tests were carried out on 1320 fruits, in which there were 920 non-damaged fruits and 400 damaged fruits. The total testing time is 6600, and the success grading rate was found out at an average of 92%. In addition, the limitation and the causes of errors were also clarified to determine the improvement for future works.",
keywords = "CNN, Diseased damage grading, Flipping mechanism, Fresh destemmed chilli fruit",
author = "Huynh, {Quoc Khanh} and Nguyen, {Chi Ngon} and Ho, {Jeng Rong} and Vo-Nguyen, {Hong Phuc} and Nguyen, {Van Cuong}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Intelligent Manufacturing and Energy Sustainability, ICIMES 2021 ; Conference date: 18-06-2021 Through 19-06-2021",
year = "2022",
doi = "10.1007/978-981-16-6482-3_15",
language = "???core.languages.en_GB???",
isbn = "9789811664816",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "147--155",
editor = "Reddy, {A. N.} and Deepak Marla and Favorskaya, {Margarita N.} and Satapathy, {Suresh Chandra}",
booktitle = "Intelligent Manufacturing and Energy Sustainability - Proceedings of ICIMES 2021",
}