Abstract
Aim: The main aim of this study is to identify the factors affecting the big onion productivity of Hambantota district during the off-season. Moreover, we identify the average productivity per acre from Hambantota district and compare it with the other areas that cultivated the big onion. Further, identify the main issues encountered in big onion cultivation in Hambantota and identify the critical contributing factors for the big onion cultivation in this area. Place and Duration of Study: During the off seasons in 2015 to 2016 in Hambantota District. Methodology: Sample data was collected from 201 farmers in Hambantota district. Multiple linear regression model was used to identify the factors affecting the big onion productivity in Hambantota district during the off-season. The normality assumption of the regression model was checked using Kolmogorov–Smirnov test, Shapiro Wilk normality test and Skewness and Kurtosis test. Pearson, Spearman’s Rank and Partial correlation tests were used to check the correlations between variables. Mean absolute percentage error (MAPE) and Symmetrical Mean absolute percentage error (SMAPE) values were used to validate the fitted model. Results: By the multiple linear regression model main factors affecting the productivity of big onion in Hambantota area were Seasonal Months, Monthly Income, Subsidies Fertilizer and Cultivated Quantity. And the R-squared value was most like to 80% and this means these independent variables were described 80% of the dependent variable. Model accuracies were reported as 98.48% and 98.49% from MAPE and SMAPE respectively. Therefore, this multiple linear regression model was suitable for this study. Further, the model determined the affected factors for the big onion cultivation in Hambantota district during the off-season. Conclusion: Hambantota district average productivity was less than other areas. Big onion productivity of Matale is more than 2 times greater than big onion productivity of Hambantota. Off season big onion cultivation in Hambantota district is not very effective because of the average productivity is less than other areas in Sri Lanka.
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Claims 7
Claim · model-written summary
Seasonal months, income, fertilizer subsidies, and cultivated quantity were factors associated with onion productivity.
- Taxon
- big onione0
- Outcome
- productivity of big onione0
- Qualifier
- Seasonal Months, Monthly Income, Subsidies Fertilizer and Cultivated Quantitye0
- Setting
- Hambantota areae0
Not reportedDirection
Verbatim
e0“main factors affecting the productivity of big onion in Hambantota area were Seasonal Months, Monthly Income, Subsidies Fertilizer and Cultivated Quantity”
Claim · model-written summary
The regression model explained about 80% of onion productivity variation.
Not reportedDirection
Verbatim
e0“the R-squared value was most like to 80% and this means these independent variables were described 80% of the dependent variable”
t0“Big Onion”
Claim · model-written summary
MAPE-based model accuracy was 98.48%.
Verbatim
e0“Model accuracies were reported as 98.48% and 98.49% from MAPE and SMAPE respectively”
t0“Big Onion”
Claim · model-written summary
SMAPE-based model accuracy was 98.49%.
Verbatim
e0“Model accuracies were reported as 98.48% and 98.49% from MAPE and SMAPE respectively”
t0“Big Onion”
Claim · model-written summary
Hambantota average onion productivity was below that of other areas.
Verbatim
e0“Hambantota district average productivity was less than other areas”
t0“Big Onion”
Claim · model-written summary
Matale onion productivity exceeded Hambantota by more than twofold.
Verbatim
e0“Big onion productivity of Matale is more than 2 times greater than big onion productivity of Hambantota”
Claim · model-written summary
The authors judged off-season onion cultivation in Hambantota ineffective due to low productivity.
Verbatim
e0“Off season big onion cultivation in Hambantota district is not very effective because of the average productivity is less than other areas in Sri Lanka”