Implementasi Sistem Rekonstruksi Citra Hiperspektral dari Citra RGB Berbasis Convolutional Neural Network ResNet pada Sistem Prediksi Kadar Fenolik Daun Bisbul = Implementation of Hyperspectral Image Reconstruction from RGB Image System using ResNet Convolutional Neural Network for Velvet Apple Leaf's Phenolic Content Prediction System

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

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)

Komparasi sistem regresi metode ensemble: Studi kasus sistem pengukuran kadar karotenoid daun bisbul (diospyros discolor willd.) pada citra VNIR = Comparison of the ensemble method of regression system: A case study of the carotenoid level measurement system for bisbul leaf (diospyros discolor willd.) in VNIR image.

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