Modelling crop evapotranspiration (ET) response to different planting scenarios in an irrigation district plays a significant role in optimizing crop planting patterns, resolving agricultural water scarcity and facilitating the sustainable use of water resources. In this study, the SWAT model was improved by transforming the evapotranspiration module. Then, the improved model was applied in Qin...

As climate changes, temperatures will play an increasing role in determining crop yield. Both climate model error and lack of constrained physiological thresholds limit the predictability of yield. We used a perturbed-parameter climate model ensemble with two methods of bias-correction as input to a regional-scale wheat simulation model over India to examine future yields. This model configurat...

Machine learning applications are having a great impact on the global economy by transforming data processing method and decision making. Agriculture is one of fields where significant, considering crisis for food supply. This research investigates potential benefits integrating machine algorithms in modern agriculture. The main focus these to help optimize crop production reduce waste through ...

Guidelines to ensure the efficient coexistence of genetically modified (GM) and conventional crops are currently being considered across the European Union. The purpose of this strategy is to describe the measures a farmer must adopt to minimize the admixture of GM and non-GM crops. Minimizing pollen/seed-mediated gene flow between GM and non-GM crops is central to successful coexistence. Howev...

India's dependence on a climate sensitive sector like agriculture makes it highly vulnerable to its impacts. However, agriculture is highly heterogeneous across the country owing to regional disparities in exposure, sensitivity, and adaptive capacity. It is essential to know and quantify the possible impacts of changes in climate on crop yield for successful agricultural management and planning...

We propose an econometric model of crop choice in which a farmer’s profit-maximizing crop depends on physiological crop attributes interacted with local soil and climate characteristics. We estimate the model using county-level data on average crop choices for 1986–2008. We find that attributes of chosen crops correlate as expected with geographic variation in soil and climate characteristics. ...