CROP DISEASE AND PEST IDENTIFICATION TECHNOLOGY BASED ON ACPSO-SVM ALGORITHM OPTIMIZATION
Author:
Affiliation:
1. Liaoning Institute Science and Technology, China
Publisher
FapUNIFESP (SciELO)
Subject
Agricultural and Biological Sciences (miscellaneous)
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0100-69162023000500304&tlng=en
Reference24 articles.
1. Adaptive shewhart control charts under fuzzy parameters with tuned particle swarm optimization algorithm;Amiri A;Journal of Industrial Integration and Management,2023
2. Deep learning-based multiple moving vehicle detection and tracking using a nonlinear fourth-order reaction-diffusion based multi-scale video object analysis;Barbu T;Discrete and Continuous Dynamical Systems-S,2023
3. Smooth augmented lagrangian method for twin bounded support vector machine;Bazikar F;Numerical Algebra, Control and Optimization,2022
4. Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems;Dagal I;International journal of energy research,2022
5. Application of an extreme learning machine network with particle swarm optimization in syndrome classification of primary liver cancer;Ding L;Journal of Integrative Medicine,2021
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