Add to ORKGThis paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algorithms (CSA) to analyze the pattern recognition capability of the paddy trend, and to predict the paddy production based on climate change effects. Climate factors and paddy production are used as input parameters. High percentage of accuracy ranges from 90%-92% is obtained throughout the training, validation and testing steps of the model. The results of the study were tested using the Root Mean Square Error (RMSE), Mean Average Percentage Error (MAPE) and coefficient of determination (R2). Based on the results of this study, it can be concluded that the CSA is a reliable tool to be used as pattern recognition and prediction of paddy prod...
Over the years, rice crops are essentially conceded as the strong energy streams for the development...
Pathogens, including viruses, bacteria, and fungus, are the biotic agents that cause illnesses in cr...
It is anticipated that machine learning (ML) and the internet of things (IoT) would significantly im...
This paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algo...
Paddy harvest is extremely vulnerable to climate change and climate variations. It is a well-known f...
Daily rainfall prediction is important in water resources management in order to estimate long term...
This study applies the clonal selection algorithm (CSA) in an artificial immune system (AIS) as an ...
With the aid of a plant disease forecasting model, the emergence of plant diseases in a given region...
In order to obtain good accuracy for the prediction of rainfall, this paper developed the Clonal Sel...
Paddy blast has become most epidemic disease in many rice growing countries. Various statistical met...
Agriculture is the principal basis of livelihood that acts as a mainstay of any country. There are s...
This paper presents the application of a multiple number of statistical methods and machine learning...
This paper presents the development of crop-weather models for the paddy yield in Sri Lanka based on...
The hazard of fungal and bacterial crop syndrome can be predicted using risk models with exact ecolo...
Agriculture is the pillar of the Indian economy and plays a critical role in the global economy. Cro...
Over the years, rice crops are essentially conceded as the strong energy streams for the development...
Pathogens, including viruses, bacteria, and fungus, are the biotic agents that cause illnesses in cr...
It is anticipated that machine learning (ML) and the internet of things (IoT) would significantly im...
This paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algo...
Paddy harvest is extremely vulnerable to climate change and climate variations. It is a well-known f...
Daily rainfall prediction is important in water resources management in order to estimate long term...
This study applies the clonal selection algorithm (CSA) in an artificial immune system (AIS) as an ...
With the aid of a plant disease forecasting model, the emergence of plant diseases in a given region...
In order to obtain good accuracy for the prediction of rainfall, this paper developed the Clonal Sel...
Paddy blast has become most epidemic disease in many rice growing countries. Various statistical met...
Agriculture is the principal basis of livelihood that acts as a mainstay of any country. There are s...
This paper presents the application of a multiple number of statistical methods and machine learning...
This paper presents the development of crop-weather models for the paddy yield in Sri Lanka based on...
The hazard of fungal and bacterial crop syndrome can be predicted using risk models with exact ecolo...
Agriculture is the pillar of the Indian economy and plays a critical role in the global economy. Cro...
Over the years, rice crops are essentially conceded as the strong energy streams for the development...
Pathogens, including viruses, bacteria, and fungus, are the biotic agents that cause illnesses in cr...
It is anticipated that machine learning (ML) and the internet of things (IoT) would significantly im...