Sistem prediksi dengan algoritma deep neural networks pada citra hiperspektral: studi kasus kandungan polyphenol daun bisbul (diospyros discolor willd.) = Prediction system with deep neural networks algorithm on hyperspectral image: polyphenol content on velvet apple leaf (diospyros discolor willd)

Sistem prediksi kadar fenolik daun bisbul (Diospyros discolor Willd.) berbasis citra pada rentang Visible and Near-Infrared (VNIR). = Prediction system of total phenolic compounds of (Diospyros discolor Willd.) leaf on Visible and Near Infrared (VNIR) images

Aplikasi Rekonstruksi Citra Hiperspektral dari Citra RGB Menggunakan Arsitektur U-ResNet pada Pengukuran Kadar Flavonoid Daun Bisbul = Application of Hyperspectral Image Reconstruction from RGB Image to Predict Flavonoid Content in (Diospyros discolor Willd.) Leaf Using Proposed U-ResNet Architecture

Komparasi permodelan regresi berbasis machine learning studi kasus: sistem prediksi kadar fenolik daun bisbul (diospyros discolor willd.) berbasis citra hiperspektral VNIR = Comparison of machine learning-based regression modeling case study: phenolic level prediction system for bisbul leaf (diospyros discolor willd.) based on VNIR hyperspectral image

Optimasi performa sistem prediksi menggunakan artificial bee colony: Studi kasus sistem pengukuran kadar flavonoid daun bisbul (diospyros discolor willd.) pada citra VNIR = Optimizing prediction system performance by using artificial bee colony algorithm: Case study flavonoid content in velvet apple leaf (diospyros discolor willd.).