Enhancing coffee bean classification: a comparative analysis of pre-trained deep learning models

E Hassan - Neural Computing and Applications, 2024 - Springer
Coffee bean production can encounter challenges due to fluctuations in global coffee prices,
impacting the economic stability of some countries that heavily depend on coffee production …

Deep learning ensemble-based automated and high-performing recognition of coffee leaf disease

D Novtahaning, HA Shah, JM Kang - Agriculture, 2022 - mdpi.com
Coffee is the world's most traded tropical crop, accounting for most export profits, and is a
significant source of income for the countries in which it is produced. To meet the needs of …

[HTML][HTML] Coffee leaf rust and berry borer management in agroforestry systems: A systematic literature review

Y Rodriguez-Gallo, H Cañas, J Cruz, M Cardona… - Smart Agricultural …, 2024 - Elsevier
This study presents a Systematic Literature Review (SLR) on the management of Coffee
Berry Borer (CBB) and Coffee Leaf Rust (CLR) in Coffee Agroforestry Systems (CAFS) …

Inception-based global context attention network for the classification of coffee leaf diseases

R Karthik, JJ Alfred, JJ Kennedy - Ecological Informatics, 2023 - Elsevier
Coffee is a significant global commodity that is consumed in large quantities on a daily
basis, and it ranks as the second-most important product in global trade. The leaves of …

[PDF][PDF] A machine learning model for the diagnosis of coffee diseases

F Martinez, H Montiel… - International Journal of …, 2022 - pdfs.semanticscholar.org
The growing and marketing of coffee is an important source of economic resources for many
countries, especially those with economies dependent on agricultural production, as is the …

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 …

Leveraging transfer learning for efficient classification of coffee leaf diseases

MH Ali, T Mahmud, MT Aziz, MFBA Aziz… - 2024 15th …, 2024 - ieeexplore.ieee.org
Coffee leaf diseases pose a significant threat to the quality and yield of coffee crops,
necessitating early and precise identification for effective disease management. This study …

Influence of hyperparameters in deep learning models for coffee rust detection

AF Chavarro, D Renza, DM Ballesteros - Applied Sciences, 2023 - mdpi.com
Most of the world's crops can be attacked by various diseases or pests, affecting their quality
and productivity. In recent years, transfer learning with deep learning (DL) models has been …

ConvNext as a Basis for Interpretability in Coffee Leaf Rust Classification.

A Chavarro, D Renza… - Mathematics (2227 …, 2024 - search.ebscohost.com
The increasing complexity of deep learning models can make it difficult to interpret and fit
models beyond a purely accuracy-focused evaluation. This is where interpretable and …

A Systematized Chronicity based Disease Classification in Coffee Leaves using Deep Learning

RK Madhukar, A Chaurasiya… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Diseases have an impact on agriculture production and quality, which is essential to global
economic prosperity and growth. For agriculture to be sustainable over the long run disease …