Tag Archives: : Irrigation

Automation of Irrigation Systems and Design of Automated Irrigation Systems (Published)

Canada is a world leader in the production of many agricultural crops, especially wheat and other cereal grains and irrigation necessary to compensate for insufficient precipitation during the critical portions of the growing season in order to avoid a decrease in productivity. Current irrigation systems are unable to determine when the crops have received sufficient water during and even after irrigation, are not easy to use, require user input, manual connection to the water supply and some level of technical expertise before they can be used successfully, and they are not automated. This paper presents a novel automated irrigation system that does not have any of these limitations. The automated irrigation system works by continuously monitoring the soil moisture content and wirelessly activating the pipeline valves to open when the moisture level drops below the minimum threshold for the cultivated crop, causing the land to be irrigated. When the moisture level rises above the maximum threshold, the system deactivates the irrigation pipeline valves, causing them to close and ceasing land irrigation. This automated irrigation system is customizable and can also be used to upgrade existing drip irrigation systems, surface irrigation systems, and sprinkler irrigation systems to overcome their existing limitations.

Keywords: : Irrigation, automated irrigation system, crop moisture requirement

Impact of Small-scale Irrigation on Farm Households’ Technical Efficiency: The Case of Girawa District, East Hararghe, Oromia, Ethiopia (Review Completed - Accepted)

This study evaluated the impact of small-scale irrigation on farm households’ technical efficiency of production in Girawa district, East Hararghe, Oromia, Ethiopia. Both primary and secondary data were collected for the study. Primary data were collected from 200 sample respondents drawn from both participant and non-participant households. Econometric models were employed for data analysis. Stochastic production frontier model was used for technical efficiency estimation and Propensity score matching method was applied to analyze the impact of small-scale irrigation on the technical efficiency. The logistic regression was employed to estimate propensity scores. In matching processes, kernel matching with band width of 0.5 was found to be the best matching algorism. This method was also checked for covariate balancing with a standardized bias, t-test, and joint significance level tests. The results revealed that households that participate in irrigation practice have got an improvement of 8.92% in technical efficiency than those households that were not participating in irrigation practice. Results showed that participation in irrigation has a significant, positive and robust impact on the outcome variables. The sensitivity analysis also showed that the impact estimates are insensitive to unobserved selection bias. All results obtained from different models revealed the positive impact of irrigation on farm household technical efficiency. Therefore, policy makers should give due emphasis to the aforementioned variables to increase participation in irrigation farming and improve the livelihood of rural households

Keywords: : Irrigation, Propensity Score Matching And Stochastic Frontier, Technical Efficiency

Impact of Small-scale Irrigation on Farm Households’ Technical Efficiency: The Case of Girawa District, East Hararghe, Oromia, Ethiopia (Review Completed - Accepted)

This study evaluated the impact of small-scale irrigation on farm households’ technical efficiency of production in Girawa district, East Hararghe, Oromia, Ethiopia. Both primary and secondary data were collected for the study. Primary data were collected from 200 sample respondents drawn from both participant and non-participant households. Econometric models were employed for data analysis. Stochastic production frontier model was used for technical efficiency estimation and Propensity score matching method was applied to analyze the impact of small-scale irrigation on the technical efficiency. The logistic regression was employed to estimate propensity scores. In matching processes, kernel matching with band width of 0.5 was found to be the best matching algorism. This method was also checked for covariate balancing with a standardized bias, t-test, and joint significance level tests. The results revealed that households that participate in irrigation practice have got an improvement of 8.92% in technical efficiency than those households that were not participating in irrigation practice. Results showed that participation in irrigation has a significant, positive and robust impact on the outcome variables. The sensitivity analysis also showed that the impact estimates are insensitive to unobserved selection bias. All results obtained from different models revealed the positive impact of irrigation on farm household technical efficiency. Therefore, policy makers should give due emphasis to the aforementioned variables to increase participation in irrigation farming and improve the livelihood of rural households.

Keywords: : Irrigation, Propensity Score Matching And Stochastic Frontier, Technical Efficiency