Prediction of fruit ripening by Artificial Neural Network based on relationship between pectin and image analysis / Aisyah Sakina Shahrin ... [et al.]

• Main Authors: Shahrin, Aisyah Sakina, Osman, Mohamed Syazwan, Ramli, Rafidah Aida, Setumin, Samsul, Senin, Syahrul Fitry
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: TP Chemical technology; Plant biotechnology
• Online Access: https://ir.uitm.edu.my/id/eprint/81122/1/81122.pdf; https://ir.uitm.edu.my/id/eprint/81122/
• Institution: Universiti Teknologi Mara

This research was focuses on the prediction of fruit ripening using artificial neural network. The main purposes of this study are to correlate pectin activity (data) with image analysis (image) of figs and to investigate the compatibility of Artificial Neural Network (ANN) in speculating the figs r...