Add to ORKGImage processing, object classification and artificial neural network algorithms are considered in the paper applying to disease area recognition of agricultural field images. The images are presented as reduced normalized histograms. The classification is carried out for RGB-and HSV-space by using a multilayer perceptron
This work summarizes knowledge in the field of feature-based plant recognition with methods of artif...
In this paper, we present a reduced feature set based approach for recognition and classification of...
The timely detection of crop diseases is critical for securing crop productivity, lowering productio...
Neural network algorithms of object classification are considered in the paper applying to disease a...
The objective of this research was to use neural network approach for segmentation problem of agricu...
The majority of research Study is moving towards cognitive computing, ubiquitous computing, internet...
Precision agriculture principles appeared in the early 1980s as field management techniques in order...
The harvesting operation is a hard work for farmers. Workers hope the reduction of the harvesting op...
The automation is popular in agriculture sector is key concern besides emergent issue across the glo...
Computers have been used for mechanization and automation in different applications of agriculture/h...
Computers have been used for mechanization and automation in different applications of agriculture/h...
Foliage diseases in plants can cause a reduction in both quality and quantity of agricultural produc...
Nowadays, herb plants are importance to medical field and can give benefit to human. In this researc...
Agricultural image processing is having its significance to classify the agricultural objects as wel...
With the development of advanced information and intelligence technologies, precision agriculture ha...
This work summarizes knowledge in the field of feature-based plant recognition with methods of artif...
In this paper, we present a reduced feature set based approach for recognition and classification of...
The timely detection of crop diseases is critical for securing crop productivity, lowering productio...
Neural network algorithms of object classification are considered in the paper applying to disease a...
The objective of this research was to use neural network approach for segmentation problem of agricu...
The majority of research Study is moving towards cognitive computing, ubiquitous computing, internet...
Precision agriculture principles appeared in the early 1980s as field management techniques in order...
The harvesting operation is a hard work for farmers. Workers hope the reduction of the harvesting op...
The automation is popular in agriculture sector is key concern besides emergent issue across the glo...
Computers have been used for mechanization and automation in different applications of agriculture/h...
Computers have been used for mechanization and automation in different applications of agriculture/h...
Foliage diseases in plants can cause a reduction in both quality and quantity of agricultural produc...
Nowadays, herb plants are importance to medical field and can give benefit to human. In this researc...
Agricultural image processing is having its significance to classify the agricultural objects as wel...
With the development of advanced information and intelligence technologies, precision agriculture ha...
This work summarizes knowledge in the field of feature-based plant recognition with methods of artif...
In this paper, we present a reduced feature set based approach for recognition and classification of...
The timely detection of crop diseases is critical for securing crop productivity, lowering productio...