Combination of image processing and artificial neural networks as a novel approach for the identification of Bemisia tabaci and Frankliniella occidentalis on sticky traps in greenhouse agriculture.
Karlos EspinozaDiego L. ValeraJosé Antonio TorresAlejandro LópezFrancisco D. Molina-AizPublished in: Comput. Electron. Agric. (2016)
Keyphrases
- artificial neural networks
- image processing
- machine vision
- neural network
- image enhancement
- digital image processing
- computer graphics
- case study
- pattern recognition
- high resolution
- using artificial neural networks
- signal processing
- multilayer perceptron
- feed forward
- neural network model
- back propagation
- image analysis
- computer vision
- automatic identification
- data mining
- color images
- genetic algorithm ga
- multi layer perceptron
- feature extraction
- image processing algorithms
- radial basis function
- remote sensing
- image recognition
- air pollution
- precision agriculture
- mathematical morphology
- partial differential equations
- medical imaging
- hough transform
- denoising
- genetic algorithm
- machine learning
- real world