Electronic nose dataset for classifying Rice quality using neural network

F Erlangga, DR Wijaya… - 2021 9th International …, 2021 - ieeexplore.ieee.org
Rice is a staple food ingredient because it is the main food element for Indonesia and the
world. However, the quality of rice can decline over time until it becomes expired or smelly …

Beef quality identification using thresholding method and decision tree classification based on android smartphone

K Adi, S Pujiyanto, O Dwi Nurhayati… - Journal of Food …, 2017 - Wiley Online Library
Beef is one of the animal food products that have high nutrition because it contains
carbohydrates, proteins, fats, vitamins, and minerals. Therefore, the quality of beef should be …

Discrimination and Prediction of Pork Freshness by E-nose

X Hong, J Wang - Computer and Computing Technologies in Agriculture …, 2012 - Springer
An electronic nose (e-nose) was used to establish a freshness evaluation model for pork. A
pre-experiment was performed to acquire optimum parameters (10 g sample mass with 5 …

[引用][C] COMPARISON OF TARGET PROBABILISTIC NEURAL NETWORK (PNN) CLASSIFICATION FOR BEEF AND PORK.

L HANDAYANI, E BUDIANITA, W OKTISTA, R HADI… - Journal of Theoretical & …, 2017

Rapid lard identification with portable electronic nose

M Latief, A Khorsidtalab, I Saputra… - IOP Conference …, 2017 - iopscience.iop.org
Human sensory systems are limited in many different regards, yet they are great sources of
inspiration for development of technologies that help humans to overcome their restraints …

Classification of honey as genuine or fake via Artificial Neural Network using gradient descent Backpropagation Algorithm

CC Hortinela, JR Balbin, PJA Tibayan… - 2020 IEEE 12th …, 2020 - ieeexplore.ieee.org
Honey is always among the lists for food fraud around the world. A whistleblower surfaced in
a South African Honey manufacturer that claims their honey is revealed as passing off a …

Implementation of multilayer perceptron neural network on quality assessment of tomato puree in aerobic storage using electronic nose

RS Concepcion, E Sybingco… - … on Cybernetics and …, 2019 - ieeexplore.ieee.org
The adulteration of food increases the number of bacteria being develop in it that is primarily
affected from oxygen exposure and varying temperature, not suitable for its storage. In such …

PyTorch Deep Learning for Food Image Classification with Food Dataset

I Iswahyudi, D Hindarto, H Santoso - Sinkron: jurnal dan penelitian …, 2023 - polgan.ac.id
Classification of food images is crucial in today's increasingly digitally connected world. In
the rapidly evolving mobile applications and social media era, the demand for an automated …

An efficient framework for animal breeds classification using semi-supervised learning and multi-part convolutional neural network (MP-CNN)

SD Meena, L Agilandeeswari - IEEE Access, 2019 - ieeexplore.ieee.org
The automatic classification of animal images is an onerous task due to the challenging
image conditions, especially when it comes to animal breeds. In this paper, we built a semi …

A feature selection strategy of E-nose data based on PCA coupled with Wilks Λ-statistic for discrimination of vinegar samples

Y Yin, Y Zhao - Journal of Food Measurement and Characterization, 2019 - Springer
In order to enhance the correct discrimination rate of six kinds of vinegar samples using
electronic nose (E-nose), a feature selection strategy based on principal component …