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 …

A systematic literature review on plant disease detection: Motivations, classification techniques, datasets, challenges, and future trends

W Shafik, A Tufail, A Namoun, LC De Silva… - Ieee …, 2023 - ieeexplore.ieee.org
Plant pests and diseases are a significant threat to almost all major types of plants and
global food security. Traditional inspection across different plant fields is time-consuming …

Agricultural plant diseases identification: From traditional approach to deep learning

J Kotwal, R Kashyap, S Pathan - Materials Today: Proceedings, 2023 - Elsevier
Plant disease computerization in agriculture areas an important for every country, as the
population rate increases the demand for food supply also increases. Today, the significant …

GoogLeNet based on residual network and attention mechanism identification of rice leaf diseases

L Yang, X Yu, S Zhang, H Long, H Zhang, S Xu… - … and Electronics in …, 2023 - Elsevier
Rice leaf diseases are a major cause of declining rice production and quality. The early
identification and control of rice leaf diseases is critical for maintaining rice quality and …

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 …

Systematic study on deep learning-based plant disease detection or classification

CK Sunil, CD Jaidhar, N Patil - Artificial Intelligence Review, 2023 - Springer
Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …

[PDF][PDF] Evaluating the effectiveness of YOLO models in different sized object detection and feature-based classification of small objects

LD Quach, KN Quoc, AN Quynh… - Journal of Advances in …, 2023 - researchgate.net
The YOLO tool has been increasingly developed to assist in object classification. However,
the problem of object classification has many difficulties, including small objects …

Early diagnosis of rice plant disease using machine learning techniques

M Sharma, CJ Kumar, A Deka - Archives of Phytopathology and …, 2022 - Taylor & Francis
There is an incredible progress in machine learning applications in the field of agricultural
research. Detection of various diseases, deficiencies, and factors impacting crops' …

Explainable vision transformer enabled convolutional neural network for plant disease identification: PlantXViT

PS Thakur, P Khanna, T Sheorey, A Ojha - arxiv preprint arxiv …, 2022 - arxiv.org
Plant diseases are the primary cause of crop losses globally, with an impact on the world
economy. To deal with these issues, smart agriculture solutions are evolving that combine …

Tomato health monitoring system: Tomato classification, detection, and counting system based on YOLOv8 model with explainable MobileNet models using Grad …

LD Quach, KN Quoc, AN Quynh, HT Ngoc… - IEEE …, 2024 - ieeexplore.ieee.org
Fruits and vegetables (especially, tomatoes) healthy detection are important tasks for smart
agriculture. Several works have been published in tomato detection, however, there is little …