Application of pre-trained deep convolutional neural networks for coffee beans species detection
Coffee is an important export product of the tropical countries where it is grown. Therefore,
the separation of coffee beans in the world in terms of the quality element and variety forgery …
the separation of coffee beans in the world in terms of the quality element and variety forgery …
Machine learning techniques for coffee classification: a comprehensive review of scientific research
IVC Motta, N Vuillerme, HH Pham… - Artificial Intelligence …, 2024 - Springer
In the realm of agribusiness, transformative shifts are underway, propelled by the growing
demands and expanding scales of grain production. This evolution calls for a critical …
demands and expanding scales of grain production. This evolution calls for a critical …
Integrated portable shrimp-freshness prediction platform based on ice-templated metal–organic framework colorimetric combinatorics and deep convolutional neural …
Real-time monitoring of food freshness is critical to reducing food waste and pursuing
sustainable development. Cross-reactive artificial scent screening systems provide a …
sustainable development. Cross-reactive artificial scent screening systems provide a …
Deep-learning-based defective bean inspection with GAN-structured automated labeled data augmentation in coffee industry
In the production process from green beans to coffee bean packages, the defective bean
removal (or in short, defect removal) is one of most labor-consuming stages, and many …
removal (or in short, defect removal) is one of most labor-consuming stages, and many …
Robust coffee rust detection using uav-based aerial rgb imagery
Y Rodriguez-Gallo, B Escobar-Benitez… - AgriEngineering, 2023 - mdpi.com
Timely detection of pests and diseases in crops is essential to mitigate severe damage and
economic losses, especially in the context of climate change. This paper describes a method …
economic losses, especially in the context of climate change. This paper describes a method …
Detection roasting level of Lintong coffee beans by using euclidean distance
Y Pratama, IGE Dirgayussa, PF Simarmata… - Bulletin of Electrical …, 2021 - beei.org
Coffee roasting is the process by which raw coffee beans (green beans) are roasted until
they reach a certain roast level. In general, the roast level of roasted coffee beans is divided …
they reach a certain roast level. In general, the roast level of roasted coffee beans is divided …
Integrating deformable convolution and pyramid network in cascade R-CNN for fabric defect detection
Defects on the surface of fabrics seriously affect the production speed and quality of textile
products. There are many difficulties in the detection of surface defects on fabrics, such as …
products. There are many difficulties in the detection of surface defects on fabrics, such as …
Coffee Bean Inspection Machine with Deep Learning Classification
T Micaraseth, K Pornpipatsakul… - 2022 International …, 2022 - ieeexplore.ieee.org
In coffee production process, after harvest often find defective coffee beans mixed with
normal coffee beans. So a coffee bean inspection machine is made to classify the defects in …
normal coffee beans. So a coffee bean inspection machine is made to classify the defects in …
Review on image based coffee bean quality classification: machine learning approach
SP Pragathi, L Jacob - 2022 4th International conference on …, 2022 - ieeexplore.ieee.org
Specialty coffee's demand is growing worldwide as coffee drinkers continue to look for the
freshest and highest-quality flavors. Depending upon the quality, there are two categories in …
freshest and highest-quality flavors. Depending upon the quality, there are two categories in …
The Potential of Smart Farming IoT Implementation for Coffee farming in Indonesia: A Systematic Review
AE Mulyono, P Apnitami, IS Wangi… - Green Intelligent …, 2022 - tecnoscientifica.com
As one of Indonesia's main export agricultural commodities, coffee farming faces many
obstacles, ranging from plant pest organisms to climate and environmental problems. These …
obstacles, ranging from plant pest organisms to climate and environmental problems. These …