This session tackles drought variability by different means, seeks a better understanding of variations and causes, and proposes ways to deal with and adapt to it better.
The pillars of the session would be:
- (i) how ‘big data’ can help us deal with drought variability;
- (ii) how crop models can help us deal with GxExMxS interactions;
- (iii) how farming system models can help us take a broader view on drought in a small holder context,
- (iv) how to address the trade-offs between risk and reward from an economic perspective and toward decision-making.
It includes tools to monitor drought in a farming context (e.g. to guide irrigation for instance or make decisions on crop choice). It could include also work on insurance schemes to prevent farmer’s bankruptcy, weather forecasting services or farm management assistance based on model predictions.