The frequency of extreme events is increasing in various parts of the world where agriculture is the mainstay of the economy. Many developing countries rely heavily on agriculture; therefore, it is critically important to achieve robust crop yield seasonal forecasts and to devise strategies that increase food production in order to realize food security for billions of people around the world. Various environmental factors and anthropogenic interventions influencing the agricultural sector make research challenging. This session will highlight significant aspects of hydrological and agricultural modeling including but not limited to: i) agricultural intensification to maximize crop yields ii) improving the seasonal yield forecasts for important cereal and cash crops; iii) managing risks and vulnerabilities by building resiliency and climate adaptability iv) using hydro-meteorological modeling to evaluate climate risks in agriculture and v) innovative modeling approaches and advanced data algorithms for crop and farmland practice monitoring.