Comprehensive review of artificial neural network applications to pattern recognition
The era of artificial neural network (ANN) began with a simplified application in many fields
and remarkable success in pattern recognition (PR) even in manufacturing industries …
and remarkable success in pattern recognition (PR) even in manufacturing industries …
Machine learning for plant breeding and biotechnology
Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …
Sensors driven AI-based agriculture recommendation model for assessing land suitability
The world population is expected to grow by another two billion in 2050, according to the
survey taken by the Food and Agriculture Organization, while the arable area is likely to …
survey taken by the Food and Agriculture Organization, while the arable area is likely to …
Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …
information for farmers, policy makers, and food processing plants. One of the main benefits …
A bibliometric network analysis of recent publications on digital agriculture to depict strategic themes and evolution structure
The agriculture sector is one of the backbones of many countries' economies. Its processes
have been changing to enable technology adoption to increase productivity, quality, and …
have been changing to enable technology adoption to increase productivity, quality, and …
Prediction of Blueberry (Vaccinium corymbosum L.) Yield Based on Artificial Intelligence Methods
In this paper, we present a high-accuracy model for blueberry yield prediction, trained using
structurally innovative data sets. Blueberries are blooming plants, valued for their antioxidant …
structurally innovative data sets. Blueberries are blooming plants, valued for their antioxidant …
Deep and machine learning using SEM, FTIR, and texture analysis to detect polysaccharide in raspberry powders
In the paper, an attempt was made to use methods of artificial neural networks (ANN) and
Fourier transform infrared spectroscopy (FTIR) to identify raspberry powders that are …
Fourier transform infrared spectroscopy (FTIR) to identify raspberry powders that are …
Prediction of Pea (Pisum sativum L.) Seeds Yield Using Artificial Neural Networks
A sufficiently early and accurate prediction can help to steer crop yields more consciously,
resulting in food security, especially with an expanding world population. Additionally …
resulting in food security, especially with an expanding world population. Additionally …
The use of artificial neural networks for forecasting of air temperature inside a heated foil tunnel
S Francik, S Kurpaska - Sensors, 2020 - mdpi.com
It is important to correctly predict the microclimate of a greenhouse for control and crop
management purposes. Accurately forecasting temperatures in greenhouses has been a …
management purposes. Accurately forecasting temperatures in greenhouses has been a …
Artificial neural networks in the evaluation of the influence of the type and content of carrier on selected quality parameters of spray dried raspberry powders
In the paper an attempt was made to evaluate influence of type (maltodextrin, gum Arabic
and inulin) and content (50, 60, 70% solids) of carrier on quality of raspberry powders. The …
and inulin) and content (50, 60, 70% solids) of carrier on quality of raspberry powders. The …