Enhancement of tea leaf diseases identification using modified SOTA models
KG Panchbhai, MG Lanjewar - Neural Computing and Applications, 2024 - Springer
The identification of tea leaf diseases holds considerable significance for preserving the
health of tea plants and preventing losses in tea production. This study introduced a hybrid …
health of tea plants and preventing losses in tea production. This study introduced a hybrid …
A new AI-based approach for automatic identification of tea leaf disease using deep neural network based on hybrid pooling
Q Heng, S Yu, Y Zhang - Heliyon, 2024 - cell.com
The degree of production efficiency and the quality of the commodities produced may both
be directly impacted by the presence of illnesses in tea leaves. These days, this procedure …
be directly impacted by the presence of illnesses in tea leaves. These days, this procedure …
MICL-UNet: Multi-Input Cross-Layer UNet Model for Classification of Diseases in Agriculture
Agricultural diseases severely impact productivity and result in significant economic losses
in the agricultural sector. Current monitoring practices are predominantly individualized …
in the agricultural sector. Current monitoring practices are predominantly individualized …
Deep Learning for Tea Leaf Disease Classification: Challenges, Study Gaps, and Emerging Technologies
This chapter presents a comprehensive investigation into the use of deep learning (DL) and
machine learning (ML) models and methods for the identification and classification of a …
machine learning (ML) models and methods for the identification and classification of a …
Tea leaf disease recognition using attention convolutional neural network and handcrafted features
P Wu, J Liu, M Jiang, L Zhang, S Ding, K Zhang - Crop Protection, 2025 - Elsevier
The diseases of tea leaves have a significant impact on their quality and yield, making the
rapid identification of leaf diseases in tea crucial for prevention and control. We propose an …
rapid identification of leaf diseases in tea crucial for prevention and control. We propose an …
Evaluating Deep CNNs and Vision Transformers for Plant Leaf Disease Classification
The foundation of each nation's economy has always been agriculture and related sectors.
Smart Agriculture is the most recent hot research topic because of its usefulness in different …
Smart Agriculture is the most recent hot research topic because of its usefulness in different …
[图书][B] Applied computer vision and soft computing with interpretable AI
SV Shinde, DV Medhane, O Castillo - 2023 - books.google.com
This reference text presents the knowledge base of computer vision and soft computing
techniques with their applications for sustainable developments. Features: Covers a variety …
techniques with their applications for sustainable developments. Features: Covers a variety …
[PDF][PDF] Tea Leaf Disease Classification Using Artificial Intelligence (AI) Models
KPS Kumaratenna, YY Cho - 생물환경조절학회지, 2024 - koreascience.kr
In this study, five artificial intelligence (AI) models: Inception v3, SqueezeNet (local), VGG-
16, Painters, and DeepLoc were used to classify tea leaf diseases. Eight image categories …
16, Painters, and DeepLoc were used to classify tea leaf diseases. Eight image categories …
20 Deep Learning for Tea Leaf
In both exporting and developing nations, tea is a consequential cash crop and has a
noteworthy impact on poverty reduction, rural expansion, and food safety. For millions of …
noteworthy impact on poverty reduction, rural expansion, and food safety. For millions of …
7 Leaf-CAP
AC Network-Based - Predictive Analytics in Smart Agriculture, 2023 - books.google.com
Tea is one of the principal cash crops for exporting and developing nations such as India, Sri
Lanka, and Bangladesh. Tea production has its socio-economic impact as it is a primary …
Lanka, and Bangladesh. Tea production has its socio-economic impact as it is a primary …