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Trends in vision-based machine learning techniques for plant disease identification: A systematic review
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 …
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
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 …
global food security. Traditional inspection across different plant fields is time-consuming …
Agricultural plant diseases identification: From traditional approach to deep learning
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 …
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 …
identification and control of rice leaf diseases is critical for maintaining rice quality and …
Vision transformer meets convolutional neural network for plant disease classification
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 …
world economy. To deal with these issues, new agriculture solutions are evolving that …
Systematic study on deep learning-based plant disease detection or classification
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 …
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
The YOLO tool has been increasingly developed to assist in object classification. However,
the problem of object classification has many difficulties, including small objects …
the problem of object classification has many difficulties, including small objects …
Early diagnosis of rice plant disease using machine learning techniques
There is an incredible progress in machine learning applications in the field of agricultural
research. Detection of various diseases, deficiencies, and factors impacting crops' …
research. Detection of various diseases, deficiencies, and factors impacting crops' …
Explainable vision transformer enabled convolutional neural network for plant disease identification: PlantXViT
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 …
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 …
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 …
agriculture. Several works have been published in tomato detection, however, there is little …