[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 …

Leaf disease detection using machine learning and deep learning: Review and challenges

C Sarkar, D Gupta, U Gupta, BB Hazarika - Applied Soft Computing, 2023 - Elsevier
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 …

Attention embedded residual CNN for disease detection in tomato leaves

R Karthik, M Hariharan, S Anand, P Mathikshara… - Applied Soft …, 2020 - Elsevier
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 …

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 …

[HTML][HTML] A review of imaging techniques for plant disease detection

V Singh, N Sharma, S Singh - Artificial Intelligence in Agriculture, 2020 - Elsevier
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 …

Automatic diagnosis of skin diseases using convolution neural network

T Shanthi, RS Sabeenian, R Anand - Microprocessors and Microsystems, 2020 - Elsevier
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 …

[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 …

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 …

Applications of computer vision in plant pathology: a survey

SS Chouhan, UP Singh, S Jain - Archives of computational methods in …, 2020 - Springer
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 …

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 …