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 product...
Agriculture plays a crucial role for the production of food in Indian regions. Indian regions mainly...
The Asian rice gall midge (Orseolia oryzae (Wood-Mason)) is a major insect pest in rice cultivation....
This article uses machine learning technology to analyze the correlation of climate factors that aff...
This paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algo...
Daily rainfall prediction is important in water resources management in order to estimate long term...
Paddy harvest is extremely vulnerable to climate change and climate variations. It is a well-known f...
This study applies the clonal selection algorithm (CSA) in an artificial immune system (AIS) as an ...
In order to obtain good accuracy for the prediction of rainfall, this paper developed the Clonal Sel...
With the aid of a plant disease forecasting model, the emergence of plant diseases in a given region...
Paddy blast has become most epidemic disease in many rice growing countries. Various statistical met...
This paper presents the application of a multiple number of statistical methods and machine learning...
The hazard of fungal and bacterial crop syndrome can be predicted using risk models with exact ecolo...
This paper presents the development of crop-weather models for the paddy yield in Sri Lanka based on...
Agriculture is the principal basis of livelihood that acts as a mainstay of any country. There are s...
Agriculture is the pillar of the Indian economy and plays a critical role in the global economy. Cro...
Agriculture plays a crucial role for the production of food in Indian regions. Indian regions mainly...
The Asian rice gall midge (Orseolia oryzae (Wood-Mason)) is a major insect pest in rice cultivation....
This article uses machine learning technology to analyze the correlation of climate factors that aff...
This paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algo...
Daily rainfall prediction is important in water resources management in order to estimate long term...
Paddy harvest is extremely vulnerable to climate change and climate variations. It is a well-known f...
This study applies the clonal selection algorithm (CSA) in an artificial immune system (AIS) as an ...
In order to obtain good accuracy for the prediction of rainfall, this paper developed the Clonal Sel...
With the aid of a plant disease forecasting model, the emergence of plant diseases in a given region...
Paddy blast has become most epidemic disease in many rice growing countries. Various statistical met...
This paper presents the application of a multiple number of statistical methods and machine learning...
The hazard of fungal and bacterial crop syndrome can be predicted using risk models with exact ecolo...
This paper presents the development of crop-weather models for the paddy yield in Sri Lanka based on...
Agriculture is the principal basis of livelihood that acts as a mainstay of any country. There are s...
Agriculture is the pillar of the Indian economy and plays a critical role in the global economy. Cro...
Agriculture plays a crucial role for the production of food in Indian regions. Indian regions mainly...
The Asian rice gall midge (Orseolia oryzae (Wood-Mason)) is a major insect pest in rice cultivation....
This article uses machine learning technology to analyze the correlation of climate factors that aff...