A systematic review of different categories of plant disease detection using deep learning-based approaches

Y Kumar, R Singh, MR Moudgil, Kamini - Archives of Computational …, 2023 - Springer
Artificial intelligence has a significant impact on all sectors. It is revolutionizing agriculture by
replacing traditional methods with more efficient techniques and hel** the world improve …

A lightweight attention-based convolutional neural networks for tomato leaf disease classification

A Bhujel, NE Kim, E Arulmozhi, JK Basak, HT Kim - Agriculture, 2022 - mdpi.com
Plant diseases pose a significant challenge for food production and safety. Therefore, it is
indispensable to correctly identify plant diseases for timely intervention to protect crops from …

Efficient pneumonia detection using Vision Transformers on chest X-rays

S Singh, M Kumar, A Kumar, BK Verma, K Abhishek… - Scientific reports, 2024 - nature.com
Pneumonia is a widespread and acute respiratory infection that impacts people of all ages.
Early detection and treatment of pneumonia are essential for avoiding complications and …

Deep learning-based identification of maize leaf diseases is improved by an attention mechanism: Self-attention

X Qian, C Zhang, L Chen, K Li - Frontiers in plant science, 2022 - frontiersin.org
Maize leaf diseases significantly reduce maize yield; therefore, monitoring and identifying
the diseases during the growing season are crucial. Some of the current studies are based …

A tea buds counting method based on YOLOV5 and Kalman filter tracking algorithm

Y Li, R Ma, R Zhang, Y Cheng, C Dong - Plant Phenomics, 2023 - spj.science.org
The tea yield estimation provides information support for the harvest time and amount and
serves as a decision-making basis for farmer management and picking. However, the …

Leaf classification on Flavia dataset: a detailed review

SU Ahmed, J Shuja, MA Tahir - Sustainable Computing: Informatics and …, 2023 - Elsevier
For decades, vision scientists have contemplated the topic of plant species classification. As
plants are of great importance to medicinal research, they are utilized in a wide range of …

[HTML][HTML] Deep transfer learning for fine-grained maize leaf disease classification

I Khan, SS Sohail, DØ Madsen, BK Khare - Journal of Agriculture and Food …, 2024 - Elsevier
Abstract Machine learning (ML) can enhance agricultural yields by combating plant
diseases and climate change. However, traditional image processing techniques for disease …

Identifying plant disease and severity from leaves: A deep multitask learning framework using triple-branch Swin Transformer and deep supervision

B Yang, Z Wang, J Guo, L Guo, Q Liang, Q Zeng… - … and Electronics in …, 2023 - Elsevier
Accurate identification of plant disease is of great significance for intelligent agriculture.
Currently, plant species, disease, and severity are considered as joint categories in most …

Transfer learning for versatile plant disease recognition with limited data

M Xu, S Yoon, Y Jeong, DS Park - Frontiers in Plant Science, 2022 - frontiersin.org
Deep learning has witnessed a significant improvement in recent years to recognize plant
diseases by observing their corresponding images. To have a decent performance, current …