An automated detection and classification of citrus plant diseases using image processing techniques: A review
The citrus plants such as lemons, mandarins, oranges, tangerines, grapefruits, and limes are
commonly grown fruits all over the world. The citrus producing companies create a large …
commonly grown fruits all over the world. The citrus producing companies create a large …
A review of the modification strategies of the nature inspired algorithms for feature selection problem
This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …
researchers to guide them when planning to develop new Nature-inspired Algorithms …
Deep learning system for paddy plant disease detection and classification
Automatic detection and analysis of rice crop diseases is widely required in the farming
industry, which can be utilized to avoid squandering financial and other resources, reduce …
industry, which can be utilized to avoid squandering financial and other resources, reduce …
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
Moth flame optimization (MFO) is a swarm-based algorithm with mediocre performance and
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …
Enhanced Moth-flame optimizer with mutation strategy for global optimization
Y Xu, H Chen, J Luo, Q Zhang, S Jiao, X Zhang - Information Sciences, 2019 - Elsevier
Moth-flame optimization (MFO) is a widely used nature-inspired algorithm characterized by a
simple structure with simple parameters. However, for some complex optimization tasks …
simple structure with simple parameters. However, for some complex optimization tasks …
Moth–flame optimization algorithm: variants and applications
This paper thoroughly presents a comprehensive review of the so-called moth–flame
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks
Y Xu, H Chen, AA Heidari, J Luo, Q Zhang… - Expert Systems with …, 2019 - Elsevier
Moth-flame optimization algorithm (MFO) is a new nature-inspired meta-heuristic based on
the navigation routine of moths in the environment known as transverse orientation. For …
the navigation routine of moths in the environment known as transverse orientation. For …
An improved harris hawks optimization algorithm with simulated annealing for feature selection in the medical field
Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the
cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce …
cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce …
Less is more: Lighter and faster deep neural architecture for tomato leaf disease classification
To ensure global food security and the overall profit of stakeholders, the importance of
correctly detecting and classifying plant diseases is paramount. In this connection, the …
correctly detecting and classifying plant diseases is paramount. In this connection, the …
Optimizing pretrained convolutional neural networks for tomato leaf disease detection
Vegetable and fruit plants facilitate around 7.5 billion people around the globe, playing a
crucial role in sustaining life on the planet. The rapid increase in the use of chemicals such …
crucial role in sustaining life on the planet. The rapid increase in the use of chemicals such …