Image‐based crop disease detection using machine learning
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 …
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
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 …
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 …
impacting the economic stability of some countries that heavily depend on coffee production …
CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition
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 …
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
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 …
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
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 …
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 …
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
This study presents PlanteSaine, a novel mobile application powered by Artificial
Intelligence (AI) models explicitly designed for maize, tomato, and onion farmers in Burkina …
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 …
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 …
plants and the production of crops. Coffee farming is a highly organized agricultural industry …