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 …
[Retracted] A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review
Crops' production and quality of yields are heavily affected by crop diseases which cause
adverse impacts on food security as well as economic losses. In India, agriculture is a prime …
adverse impacts on food security as well as economic losses. In India, agriculture is a prime …
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 …
Deep learning-based techniques for plant diseases recognition in real-field scenarios
A Fuentes, S Yoon, DS Park - … 2020, Auckland, New Zealand, February 10 …, 2020 - Springer
Deep Learning has solved complicated applications with increasing accuracies over time.
The recent interest in this technology, especially in its potential application in agriculture …
The recent interest in this technology, especially in its potential application in agriculture …
An advanced deep learning models-based plant disease detection: A review of recent research
Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …
plant diseases which results in significant production losses. However, manual detection of …
Convolutional neural networks in detection of plant leaf diseases: A review
Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …
recognize objects from images. DL approaches have recently entered various agricultural …
Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations
Accurate and rapid plant disease detection is critical for enhancing long-term agricultural
yield. Disease infection poses the most significant challenge in crop production, potentially …
yield. Disease infection poses the most significant challenge in crop production, potentially …
VGG-ICNN: A Lightweight CNN model for crop disease identification
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 …
Regular monitoring may help in early stage disease detection an d thereby reduction in crop …
PlantDoc: A dataset for visual plant disease detection
India loses 35% of the annual crop yield due to plant diseases. Early detection of plant
diseases remains difficult due to the lack of lab infrastructure and expertise. In this paper, we …
diseases remains difficult due to the lack of lab infrastructure and expertise. In this paper, we …
Visual intelligence in precision agriculture: Exploring plant disease detection via efficient vision transformers
In order for a country's economy to grow, agricultural development is essential. Plant
diseases, however, severely hamper crop growth rate and quality. In the absence of domain …
diseases, however, severely hamper crop growth rate and quality. In the absence of domain …