Feature extraction for cocoa bean digital image classification prediction for smart farming application

Y Adhitya, SW Prakosa, M Köppen, JS Leu - Agronomy, 2020 - mdpi.com
The implementation of Industry 4.0 emphasizes the capability and competitiveness in
agriculture application, which is the essential framework of a country's economy that …

Cocoa beans classification using enhanced image feature extraction techniques and a regularized Artificial Neural Network model

O Eric, RMOM Gyening, O Appiah, K Takyi… - … Applications of Artificial …, 2023 - Elsevier
Cut-Test technique employs visual inspection of interior coloration, compartmentalization,
and defects of beans for effective classification of cocoa beans. However, due to its …

Detection of foreign materials in cocoa beans by hyperspectral imaging technology

A Saeidan, M Khojastehpour, MR Golzarian… - Food Control, 2021 - Elsevier
The presence of foreign materials in a batch of cocoa beans affect its profitability,
marketability and overall quality grade of the product. Therefore, the identification of these …

Improving data security with Blockchain and Internet of Things in the gourmet cocoa bean fermentation process

J Abijaude, P Sobreira, L Santiago, F Greve - Sensors, 2022 - mdpi.com
Brazil was one of the largest cocoa producers in the world, mainly supported by the South of
Bahia region. After the 1980s, the witch-broom disease demolished plantations, and farmers …

Classification of Cacao Beans Based on their External Physical Features Using Convolutional Neural Network

CC Hortinela, KJR Tupas - 2022 IEEE Region 10 Symposium …, 2022 - ieeexplore.ieee.org
Cacao beans are the key ingredients in producing chocolate and other confectionery
products. Before they reach commercial chocolate production, they undergo a sorting …

Classifying physical morphology of cocoa beans digital images using multiclass ensemble least-squares support vector machine

A Lawi, Y Adhitya - Journal of Physics: Conference Series, 2018 - iopscience.iop.org
The objective of this research is to determine the quality of cocoa beans through morphology
of their digital images. Samples of cocoa beans were scattered on a bright white paper …

SCANet: Implementation of Selective Context Adaptation Network in Smart Farming Applications

X Sigalingging, SW Prakosa, JS Leu, HY Hsieh… - Sensors, 2023 - mdpi.com
In the last decade, deep learning has enjoyed its spotlight as the game-changing addition to
smart farming and precision agriculture. Such development has been predominantly …

Spatial variability of aroma profiles of cocoa trees obtained through computer vision and machine learning modelling: A cover photography and high spatial remote …

S Fuentes, G Chacon, DD Torrico, A Zarate… - Sensors, 2019 - mdpi.com
Cocoa is an important commodity crop, not only to produce chocolate, one of the most
complex products from the sensory perspective, but one that commonly grows in developing …

Fermentation level classification of cross cut cacao beans using k-NN algorithm

RE Angelia, NB Linsangan - … of the 5th International Conference on …, 2018 - dl.acm.org
In chocolate production, post-harvest procedure is one of the most critical factors.
Fermentation is a vital procedure to consider since exact generation of acid contemplate to …

Progressive contextual excitation for smart farming application

CH Bai, SW Prakosa, HY Hsieh, JS Leu… - Computer Analysis of …, 2021 - Springer
This paper attempts to address the issue of smart farming application, which targets
discriminating distinct cocoa bean categories. In smart farming application, one critical issue …