Problem solving in agriculture- how learning from our past can inform better predictions for the future

Problem solving in agriculture: how learning from our past can inform better predictions for the future | VistaMilkIn the past, case-based reasoning was a way of using artificial intelligence to solve problems based on the calculated solutions of similar problems. You may not have been aware but case-based reasoning is part of everyday problem solving where we are attempting to overcome obstacles or problems by recollecting how we solved a similar problem in the past. 


A joint UCD-Teagasc collaborative project in VistaMilk attempted to use case-based reasoning in dealing with the challenges likely to be encountered in the future with climate change; of particular interest was the impact on agriculture in general, especially dairy production. 


The research showed how case-based reasoning systems used to predict grass growth acts in a flexible way, re-using past cases that captured extreme weather events to predict future disruptive weather events. The study also explored the generation of imagined extreme cases using counterfactual methods with a view to being able to handle unprecedented climate-disruptions (which are becoming more common). 


More can be read at “Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future”.

M Temraz, EM Kenny, E Ruelle, L Shalloo, B Smyth, MT Keane. 29th International Conference on Case Based Reasoning (ICCBR-21)   

December 2021