Trends in vision-based machine learning techniques for plant disease identification: A systematic review

PS Thakur, P Khanna, T Sheorey, A Ojha - Expert Systems with …, 2022 - Elsevier
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …

Dense convolutional network and its application in medical image analysis

T Zhou, XY Ye, HL Lu, X Zheng, S Qiu… - BioMed Research …, 2022 - Wiley Online Library
Dense convolutional network (DenseNet) is a hot topic in deep learning research in recent
years, which has good applications in medical image analysis. In this paper, DenseNet is …

VGG-ICNN: A Lightweight CNN model for crop disease identification

PS Thakur, T Sheorey, A Ojha - Multimedia Tools and Applications, 2023 - Springer
Crop diseases cause a substantial loss in the quantum and quality of agricultural production.
Regular monitoring may help in early stage disease detection an d thereby reduction in crop …

On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves

M Subramanian, K Shanmugavadivel… - Neural Computing and …, 2022 - Springer
Maize is one of the world's most important food crops, but its cultivation is hampered by
diseases. Rapid disease identification remains a challenge due to a lack of the necessary …

DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection

V Sharma, AK Tripathi, H Mittal - Ecological informatics, 2023 - Elsevier
Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …

A deep features extraction model based on the transfer learning model and vision transformer “tlmvit” for plant disease classification

A Tabbakh, SS Barpanda - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a novel approach for extracting deep features and classifying diseased
plant leaves. The agriculture industry is negatively impacted by plant diseases causing crop …

Deep Learning model of sequential image classifier for crop disease detection in plantain tree cultivation

M Nandhini, KU Kala, M Thangadarshini… - … and Electronics in …, 2022 - Elsevier
Plantain tree is the most popular crop grown all over the world and banana (Musa spp.) is
the most marketable fruit. It is the leading food in many countries, especially in developing …

Stacking ensemble model of deep learning for plant disease recognition

J Chen, A Zeb, YA Nanehkaran, D Zhang - Journal of Ambient Intelligence …, 2023 - Springer
Diverse plant diseases have a major impact on the yield of food crops, and if plant diseases
are not recognized in time, they may spread widely and directly cause losses to crop yield. In …

Vision transformer meets convolutional neural network for plant disease classification

PS Thakur, S Chaturvedi, P Khanna, T Sheorey… - Ecological …, 2023 - Elsevier
Plant diseases are the primary cause of crop losses globally, which have an impact on the
world economy. To deal with these issues, new agriculture solutions are evolving that …

Multi-channel feature fusion networks with hard coordinate attention mechanism for maize disease identification under complex backgrounds

S Fang, Y Wang, G Zhou, A Chen, W Cai… - … and Electronics in …, 2022 - Elsevier
Maize leaf disease has a negative impact on food security. If maize leaf disease is not
controlled in time, it can spread and affect corn quality and yield. Severe maize leaf disease …