Add to ORKGThe objective of this research was to use neural network approach for segmentation problem of agricultural landed-fields in remote sensing data. A neural network clusterization algorithm for segmentation of the color images of crop field infected by diseases that change usual color of agricultural plants is proposed. It can be applied for cartography of fields infected by plant diseases to reduce the use of plant protection products
The timely detection of crop diseases is critical for securing crop productivity, lowering productio...
Timely crop disease detection, pathogen identification, and infestation severity assessments can aid...
When plants and crops are suffering from pests it affects the agricultural production of the country...
Agricultural image processing is having its significance to classify the agricultural objects as wel...
Neural network algorithms of object classification are considered in the paper applying to disease a...
Image processing, object classification and artificial neural network algorithms are considered in t...
In the article, recognition of state of agricultural vegetation from aerial photographs at various s...
Abstract. The present paper discusses the image processing algorithms that treat the problem of imag...
The convolutional neural networks (CNNs) approach for image classification has a scope to identify t...
Abstract- In crop monitoring system recognition of Plant disease is a crucial part. Various agricult...
Foliage diseases in plants can cause a reduction in both quality and quantity of agricultural produc...
Most industrialised countries' economies are based on agriculture. Crop production is one of the mos...
Network Classification of Weeds versus Crops using Multispectral imformation. Effective weed control...
The increased production of Reactive Oxygen Species (ROS) in plant leaf tissues is a hallmark of a p...
The increased production of Reactive Oxygen Species (ROS) in plant leaf tissues is a hallmark of a p...
The timely detection of crop diseases is critical for securing crop productivity, lowering productio...
Timely crop disease detection, pathogen identification, and infestation severity assessments can aid...
When plants and crops are suffering from pests it affects the agricultural production of the country...
Agricultural image processing is having its significance to classify the agricultural objects as wel...
Neural network algorithms of object classification are considered in the paper applying to disease a...
Image processing, object classification and artificial neural network algorithms are considered in t...
In the article, recognition of state of agricultural vegetation from aerial photographs at various s...
Abstract. The present paper discusses the image processing algorithms that treat the problem of imag...
The convolutional neural networks (CNNs) approach for image classification has a scope to identify t...
Abstract- In crop monitoring system recognition of Plant disease is a crucial part. Various agricult...
Foliage diseases in plants can cause a reduction in both quality and quantity of agricultural produc...
Most industrialised countries' economies are based on agriculture. Crop production is one of the mos...
Network Classification of Weeds versus Crops using Multispectral imformation. Effective weed control...
The increased production of Reactive Oxygen Species (ROS) in plant leaf tissues is a hallmark of a p...
The increased production of Reactive Oxygen Species (ROS) in plant leaf tissues is a hallmark of a p...
The timely detection of crop diseases is critical for securing crop productivity, lowering productio...
Timely crop disease detection, pathogen identification, and infestation severity assessments can aid...
When plants and crops are suffering from pests it affects the agricultural production of the country...