Utilisation of deep learning with multimodal data fusion for determination of pineapple quality using thermal imaging

• 主要な著者: Mohd Ali, Maimunah, Hashim, Norhashila, Abd Aziz, Samsuzana, Lasekan, Ola
• フォーマット: 論文
• 出版事項: MDPI 2023
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/108437/; https://www.mdpi.com/2073-4395/13/2/401

Fruit quality is an important aspect in determining the consumer preference in the supply chain. Thermal imaging was used to determine different pineapple varieties according to the physicochemical changes of the fruit by means of the deep learning method. Deep learning has gained attention in fruit...