This paper explores how farmers adapt to salinity and waterlogging conditions by selecting crops. In this context, this study identifies salinity and waterlogging tolerant crops essential for the sustained livelihood of crop farmers. We developed a multinomial logit model and a cost-benefit analysis for assessing the effectiveness of farmers' selection of crops. Estimating the regression model across 1380 farmers in Koyra Upazila, we find that households' socio-economic-demographic characteristics are important contributors to crop selection. Access to market information, the optimal fertilizer dose, an early warning system, social mobilization, training, credit facilities, farming experience, wage labor, pest control, weed control, and land tenure status are all important factors in crop selection. This study suggests that farmers in this Upazila can cultivate hybrid sunflower, mustard seed, cotton, maize, and wheat in salinity affected farms in dryer locations. Likewise, they can also cultivate Aman paddy in water salinity and waterlogging affected farms. Prediction of the impact of salinity and waterlogging on net revenue must highlight not only changes in yields per crop but also crop selection and switching.

本文探讨了农民如何通过选择农作物来适应盐碱和涝渍条件。在这种情况下，本研究确定了对作物农民持续生计至关重要的耐盐碱和耐涝作物。我们开发了多项 logit 模型和成本效益分析来评估农民选择作物的有效性。估计 Koyra Upazila 1380 名农民的回归模型，我们发现家庭的社会经济人口特征是作物选择的重要因素。市场信息的获取、最佳肥料剂量、预警系统、社会动员、培训、信贷设施、耕作经验、雇佣劳动、害虫控制、杂草控制和土地权属状况都是作物选择的重要因素。这项研究表明，Upazila的农民可以在干旱地区受盐分影响的农场种植杂交向日葵、芥菜籽、棉花、玉米和小麦。同样，他们也可以培养阿曼水盐分和内涝影响农场的稻田。预测盐分和内涝对净收入的影响不仅要突出单作物产量的变化，还要突出作物的选择和转换。