Image‐based crop disease detection using machine learning

A Dolatabadian, TX Neik, MF Danilevicz… - Plant …, 2025 - Wiley Online Library
Crop disease detection is important due to its significant impact on agricultural productivity
and global food security. Traditional disease detection methods often rely on labour …

Enhanced classification of coffee leaf biotic stress by synergizing feature concatenation and dimensionality reduction

MA Latif, N Afshan, Z Mushtaq, NA Khan, M Irfan… - IEEE …, 2023 - ieeexplore.ieee.org
Significant yield challenges are posed by biotic stress on coffee leaves, which has a
negative effect on the revenue generation of this highly utilized commodity. Numerous …

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 …

CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition

M Nawaz, T Nazir, A Javed, ST Amin, F Jeribi… - Expert Systems with …, 2024 - Elsevier
Coffee is regarded as the highest consumed drink around the globe and has accounted as a
major source of income in the regions where it is cultivated. To meet the coffee …

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 …

A counting method of red jujube based on improved YOLOv5s

Y Qiao, Y Hu, Z Zheng, H Yang, K Zhang, J Hou, J Guo - Agriculture, 2022 - mdpi.com
Due to complex environmental factors such as illumination, shading between leaves and
fruits, shading between fruits, and so on, it is a challenging task to quickly identify red …

Deteksi dan Klasifikasi Penyakit Pada Daun Kopi Menggunakan Yolov7

NF Hasan - Jurnal Sisfokom (Sistem Informasi Dan …, 2023 - jurnal.atmaluhur.ac.id
Dalam peningkatan ekonomi negara berkembang komoditas ekpor tertinggi adalah
tanaman kopi. Seperti halnya Indonesia yang mampu memproduksi kopi 639ribu ton …

[HTML][HTML] PlanteSaine: An Artificial Intelligent empowered mobile application for pests and disease management for maize, tomato, and onion farmers in Burkina Faso

O Appiah, KO Hackman, BAA Diallo, KO Ogunjobi… - Agriculture, 2024 - mdpi.com
This study presents PlanteSaine, a novel mobile application powered by Artificial
Intelligence (AI) models explicitly designed for maize, tomato, and onion farmers in Burkina …

EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease

MSAM Al-Gaashani, A Muthanna, SA Chelloug… - Neural Computing and …, 2024 - Springer
Convolutional neural networks (CNNs) have made substantial contributions to the domain of
plant disease diagnosis, attaining noteworthy levels of accuracy. The primary objective of …

Clustering-based hemileia vastatrix disease prediction in coffee leaf using deep belief network

S Raveena, R Surendran - 2023 8th International Conference …, 2023 - ieeexplore.ieee.org
Leaf Rusting Disease in coffee plants is a severe agricultural issue that affects the growth of
plants and the production of crops. Coffee farming is a highly organized agricultural industry …