Ferdushi, Kanis FatamaHossain, Md KamrulKamil, Anton Abdulbasah2024-09-112024-09-1120201742-6588https://doi.org/10.1088/1742-6596/1641/1/012109https://hdl.handle.net/11363/83831st International Conference on Advanced Information Scientific Development, ICAISD 2020 -- 6 August 2020 through 7 August 2020 -- Bekasi, West Java -- 165144This study investigates production risk. A multistage stratified random sampling technique wasadopted to select sampling unit. In between Cobb Douglas and Linear quadratic model, the linear quadratic model had been picked through feasible generalized least square method. The numerical model, we utilize the information from rice cultivating in Bangladesh. The results show that uneven socioeconomic and farm-specific inputs are creating risk in rice production. Input variables such as area, labour, and fertilizer and managerial factors, for example, experience, schooling, contact with extension, training, natural calamity, member and status indicated a significant impact on rice productions uncertainty. This indicated that both input and managerial factors were important for the rice production. © 2020 Published under licence by IOP Publishing Ltd.eninfo:eu-repo/semantics/openAccessCultivation; Managers; Personnel training; Generalized least square; Input variables; Linear-quadratic models; Managerial factors; Production risks; Rice production; Sampling units; Stratified random sampling; Least squares approximationsConference Object1641110.1088/1742-6596/1641/1/0121092-s2.0-85097171049N/A