Ripeness Classification of Lycopersicon Esculentum Employing Faster Region-Based Convolutional Neural Network with Inception Version 2
SPA Panilag, JEC Rosal, AJR Tamayo… - … in Engineering and …, 2024 - ieeexplore.ieee.org
Accurate determination of tomato ripeness is essential for their marketability and consumer
acceptance. In this study, the use of Convolutional Neural Networks for Object Detection …
acceptance. In this study, the use of Convolutional Neural Networks for Object Detection …
Innovative Techniques for High-Quality White Copra Production: The Role of Sulfur Smoke and Kubung Dryers
M Apriyanto, F Novianti, D Fitriani… - E3S Web of …, 2024 - e3s-conferences.org
Copra produced by farmers is below the set quality standards, with characteristics: brown in
color, smells of smoke, moisture content is quite high around 15 22% so it is easily attacked …
color, smells of smoke, moisture content is quite high around 15 22% so it is easily attacked …
Development of a Computer Vision Application for Copra Meat Cooking Detection and Classification Using YOLOv8 Architecture
CA Canitan, JEC Rosal… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Traditional quality assessment methods of copra cooking are labor-intensive and subjective,
underscoring the need for automated solutions. This study introduces a copra meat …
underscoring the need for automated solutions. This study introduces a copra meat …