Vol. 6, Issue 2, Part A (2024)

In order to create a model for the agricultural season (2020-2021), the study sought to estimate the random border production function of the maize crop under supplemental irrigation systems in Salah El-Din Governorate and Al-Dour district. All of the farmers that grow yellow corn in Salah Al-Din Governorate's Al-Dour district make up the research sample, which was gathered using a questionnaire form designed specifically for this purpose and provides the information needed for this investigation. A random sample of the agricultural community was taken. For the production season 2021, there were 352 farms in the Al-Dur district, and the total cultivated area was 3,750 dunums for fixed and pivotal irrigation. There were 70 farmers using pivotal irrigation, covering an area of 1000 dunams, and 42 farmers using permanent irrigation, covering an area of 700 dunams. The logarithmic transcendental production function was used in the study to describe the stochastic frontier analysis model, or SFA. Regarding the two systems, the first issue involved using the Frontier 4.1 software and the Maximum Likelihood approach to estimate the stochastic border production function in accordance with the transcendent logarithmic production function TL. As it turned out, some of the production-related factors under study were morally and positively charged, while others-like seeds-violated economic logic, as did the quantity of water provided and the number of hours worked. That technological advancements have a negative impact on agricultural output, the random variable, and, eventually, technical efficiency. Technical efficiency averaged 0.65%; this suggests that farmers can achieve a 34% improvement in production.