Artificial Neural Networks to Determine Social Factors on the Adoption of Rice-Fish Farming

This study was carried out to identify social factors on adoption integrated rice-fish farming by farmer in north of Iran. A survey was conducted using a stratified random sampling to collect data from farmers of selected villages in Guilan province. The questionnaire validity and reliability ware also determined to enhance the dependability of the result. Data were collected from 184 respondents (61 adopters and 123 non-adopters) randomly sampled from selected villages and was analyzed using the Artificial Neural Networks. Results showed that correctly were classified 88.9% cases of educate and 70.7% cases of samples kept separated. On these basis social factors influencing the adoption of integrated rice-fish farming were age, experience and rate of participation in extension-education activities.