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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 comprehensive survey on support vector machine classification: Applications, challenges and trends
In recent years, an enormous amount of research has been carried out on support vector
machines (SVMs) and their application in several fields of science. SVMs are one of the …
machines (SVMs) and their application in several fields of science. SVMs are one of the …
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 …
Color image cryptosystem based on sine chaotic map, 4D chen hyperchaotic map of fractional-order and hybrid DNA coding
With advancements in computer and communication technologies, the production, utilization
and applications of digital images is at an unprecedented rate. Recent applications include …
and applications of digital images is at an unprecedented rate. Recent applications include …
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 …
Grape leaf disease identification using improved deep convolutional neural networks
B Liu, Z Ding, L Tian, D He, S Li, H Wang - Frontiers in plant science, 2020 - frontiersin.org
Anthracnose, brown spot, mites, black rot, downy mildew, and leaf blight are six common
grape leaf pests and diseases, which cause severe economic losses to the grape industry …
grape leaf pests and diseases, which cause severe economic losses to the grape industry …
MEAN-SSD: A novel real-time detector for apple leaf diseases using improved light-weight convolutional neural networks
Abstract Alternaria blotch, Brown spot, Mosaic, Grey spot, and Rust are 5 common apple leaf
diseases that severely impact apple production and quality. At present, although many CNN …
diseases that severely impact apple production and quality. At present, although many CNN …
Applications of fractional calculus in computer vision: a survey
Fractional calculus is an abstract idea exploring interpretations of differentiation having non-
integer order. For a very long time, it was considered as a topic of mere theoretical interest …
integer order. For a very long time, it was considered as a topic of mere theoretical interest …
PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition
Researchers are looking for new ideas that can greatly increase the amount of food grown
while also cutting costs. For precision agriculture to work, pests, weeds, and diseases must …
while also cutting costs. For precision agriculture to work, pests, weeds, and diseases must …
Novel encryption for color images using fractional-order hyperchaotic system
The fractional-order functions show better performance than their corresponding integer-
order functions in various image processing applications. In this paper, the authors propose …
order functions in various image processing applications. In this paper, the authors propose …