Study of digital image processing techniques for leaf disease detection and classification

G Dhingra, V Kumar, HD Joshi - Multimedia Tools and Applications, 2018 - Springer
In this paper, we address a comprehensive study on disease recognition and classification
of plant leafs using image processing methods. The traditional manual visual quality …

TSBA-YOLO: An improved tea diseases detection model based on attention mechanisms and feature fusion

J Lin, D Bai, R Xu, H Lin - Forests, 2023 - mdpi.com
Tea diseases have a significant impact on the yield and quality of tea during the growth of
tea trees. The shape and scale of tea diseases are variable, and the tea disease targets are …

Online identification method of tea diseases in complex natural environments

S Xie, C Wang, C Wang, Y Lin… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
An intelligent Internet-of-Things (IoT) hardware system in the field tea plantations was built,
comprising collection of tea images by HD zoom cameras in a cluster structure and …

Leaf disease detection and classification: A comprehensive survey

M Kaur, R Bhatia - Proceedings of International Conference on IoT …, 2020 - Springer
Agricultural crops are a pillar for Indian economy and source of livelihood. It is important to
detect diseases of plant leaves in early stage, so as to get an increase in profit and crop …

A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases

M Nath, P Mitra, D Kumar - International Journal of Computers and …, 2023 - Taylor & Francis
Tea is one of the most valuable crops in many tea-producing countries. However, tea plants
are vulnerable to various diseases, which reduce tea production. Early diagnosis of …

An intelligent system to enhance the performance of brain tumor diagnosis from MR images

TSS Shiney, SA Jerome - Journal of Digital Imaging, 2023 - Springer
In the human body, cancer is caused by aberrant cell proliferation. Brain tumors are created
when cells in the human brain proliferate out of control. Brain tumors consist of two types …

TeaViTNet: Tea Disease and Pest Detection Model Based on Fused Multiscale Attention

Z Chen, H Zhou, H Lin, D Bai - Agronomy, 2024 - mdpi.com
The tea industry, as one of the most globally important agricultural products, is characterized
by pests and diseases that pose a serious threat to yield and quality. These diseases and …

Image Processing: A Smart Technology for Early Detection of Crop Pests and Diseases

K Pakeerathan - Smart Agriculture for Developing Nations: Status …, 2023 - Springer
Sri Lanka is a fertile and well-diversified tropical Island which has the highest potential for
the cultivation of a variety of crops and animal husbandry. The agriculture sector's …

Developing a new hybrid system for detection of apple tree leaves diseases

Z Ghasemi Varjani, SS Mohtasebi, H Ghasemi… - Iranian Journal of …, 2018 - ijbse.ut.ac.ir
Each year, plant diseases cause considerable damages to the agricultural sector which their
effect on the economy and food security is very important. Early detection of plant diseases …

توسعه یک سامانه ترکیبی جدید به منظور تشخیص بیماری های برگ درخت سیب

قاسمی ورجانی, محتسبی, سید سعید, قاسمی, هادی… - مهندسی بیوسیستم …, 2018‎ - ijbse.ut.ac.ir
هر ساله بیماریهای گیاهی موجب خسارتهای قابل توجهی در بخش کشاورزی میشوند که میتوان تأثیر
آنرا در چرخهی اقتصادی کشورها و امنیت غذایی مردم احساس نمود. تشخیص زودهنگام بیماریهای گیاهی …