Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms

S Saifullah, R Drezewski, A Yudhana, A Pranolo… - arXiv preprint arXiv …, 2023 - arxiv.org
This study explored the application of CNN-Transfer Learning for nondestructive chicken
egg fertility detection for precision poultry hatchery practices. Four models, VGG16 …

Convolutional neural network and support vector machine in classification of flower images

A Peryanto, A Yudhana, R Umar - Khazanah Informatika: Jurnal …, 2022 - journals.ums.ac.id
Flowers are among the raw materials in many industries including the pharmaceuticals and
cosmetics. Manual classification of flowers requires expert judgment of a botanist and can …

[PDF][PDF] Fish Freshness Identification Using Machine Learning: Performance Comparison of k-NN and Naïve Bayes Classifier.

A Yudhana, R Umar, S Saputra - J. Comput. Sci. Eng., 2022 - jcse.kiise.org
Fish is one of the food sources that should be examined for freshness before being
consumed. The consumption of rotten fish can cause various diseases. The rotten fish have …

A high-efficiency dirty-egg detection system based on YOLOv4 and TensorRT

X Wang, X Yue, H Li, L Meng - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Eggshells are easily stained with dirt and the dirty eggs are more likely to be contaminated
with bacteria, which has adverse effects on the health of consumers. The traditional methods …

Spatial distribution of soil nutrient content for sustainable rice agriculture using geographic information system and Naïve Bayes classifier

A Yudhana, AD Cahyo, LY Sabila… - … Journal on Smart …, 2023 - sciendo.com
This study aims to assist farmers in monitoring soil nutrients, especially phosphorus. To
measure the phosphorus content of paddy soil, the TCS3200 converter, as an intelligent …

Analisis Perbandingan He Dan Clahe Pada Image Enhancement Dalam Proses Segmenasi Citra Untuk Deteksi Fertilitas Telur

S Saifullah - Jurnal Nasional Pendidikan Teknik Informatika …, 2020 - ejournal.undiksha.ac.id
Perkembangan teknologi di bidang peternakan mampu memberikan kemudahan dalam
proses penetasan ayam. Namun, proses deteksi fertilitas telur telah diperiksa secara …

Segmentation for embryonated egg images detection using the K-means algorithm in image processing

S Saifullah - 2020 Fifth International Conference on Informatics …, 2020 - ieeexplore.ieee.org
Image segmentation is often used in the process of detecting separated objects. In this
study, the application of image segmentation in the detection of egg fertility. The fertility of …

Comparison of egg fertility identification based on GLCM feature extraction using backpropagation and K-means clustering algorithms

S Saifullah, VA Permadi - 2019 5th International Conference on …, 2019 - ieeexplore.ieee.org
This research presents a comparison study of Backpropagation and K-means clustering
algorithms for egg fertility identification. Instead of candling the eggs manually, a …

Implementation of naïve Bayes for fish freshness identification based on image processing

S Saputra, A Yudhana, R Umar - Jurnal RESTI (Rekayasa Sistem …, 2022 - jurnal.iaii.or.id
Consumption of fish as a food requirement for the fulfillment of community nutrition is
increasing. This was followed by an increase in the amount of fish caught that were sold at …

Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur

S Saifullah - arXiv preprint arXiv:2102.04202, 2021 - arxiv.org
Image processing can be applied in the detection of egg embryos. The egg embryos
detection is processed using a segmentation process. The segmentation divides the image …