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

Rekonstruksi citra hiperspektral dari citra RGB menggunakan algoritma convolutional neural network dengan arsitektur dense block: studi kasus sistem prediksi kadar karotenoid pada citra daun bisbul = Hyperspectral image reconstruction from RGB image using convolutional neural network with dense block architecture: case study of prediction system on (diospyros discolor willd.) leaf's carotenoid content

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

Sstem pemetaan distribusi kandungan flavonoid daun bisbul (diospyros discolor willd.) berbasis citra hiperspektral = Mapping system of flavonoid content distribution of (diospyros discolor willd.) leaf based on hyperspectral imaging

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)