[HTML][HTML] Recent advances in image processing techniques for automated leaf pest and disease recognition–A review
LC Ngugi, M Abelwahab, M Abo-Zahhad - Information processing in …, 2021 - Elsevier
Fast and accurate plant disease detection is critical to increasing agricultural productivity in
a sustainable way. Traditionally, human experts have been relied upon to diagnose …
a sustainable way. Traditionally, human experts have been relied upon to diagnose …
Leaf disease detection using machine learning and deep learning: Review and challenges
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
Attention embedded residual CNN for disease detection in tomato leaves
Automation in plant disease detection and diagnosis is one of the challenging research
areas that has gained significant attention in the agricultural sector. Traditional disease …
areas that has gained significant attention in the agricultural sector. Traditional disease …
Tomato leaf disease identification by restructured deep residual dense network
C Zhou, S Zhou, J Xing, J Song - IEEE Access, 2021 - ieeexplore.ieee.org
As COVID-19 spread worldwide, many major grain-producing countries have adopted
measures to restrict their grain exports; food security has aroused great concern from …
measures to restrict their grain exports; food security has aroused great concern from …
[HTML][HTML] A review of imaging techniques for plant disease detection
Agriculture is the basis of every economy worldwide. Crop production is one of the major
factors affecting domestic market condition in any country. Agricultural production is also a …
factors affecting domestic market condition in any country. Agricultural production is also a …
Automatic diagnosis of skin diseases using convolution neural network
Skin diseases are becoming a most common health issues among all the countries
worldwide. The method proposed in this work detects four types of skin diseases using …
worldwide. The method proposed in this work detects four types of skin diseases using …
[PDF][PDF] Crop leaf disease detection and classification using machine learning and deep learning algorithms by visual symptoms: A review
P Vasavi, A Punitha, TVN Rao - International Journal of Electrical and …, 2022 - core.ac.uk
A quick and precise crop leaf disease detection is important to increasing agricultural yield
in a sustainable manner. We present a comprehensive overview of recent research in the …
in a sustainable manner. We present a comprehensive overview of recent research in the …
Plant disease detection and classification techniques: a comparative study of the performances
WB Demilie - Journal of Big Data, 2024 - Springer
One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …
Applications of computer vision in plant pathology: a survey
The real-time decision support system can enhance the crop or plant growth, therefore,
increasing their productivity, quality, and economic value. This also helps us in serving the …
increasing their productivity, quality, and economic value. This also helps us in serving the …
Recognition of diseased Pinus trees in UAV images using deep learning and AdaBoost classifier
G Hu, C Yin, M Wan, Y Zhang, Y Fang - Biosystems Engineering, 2020 - Elsevier
Highlights•A method for recognizing diseased Pinus trees is presented by using UAV
images.•A DCGAN model is used to expand the training samples for solving overfitting.•A …
images.•A DCGAN model is used to expand the training samples for solving overfitting.•A …