(Crop) Modeling and Climate Change / Data Quality / AI in Agriculture


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Dec 06 2023 60 mins  

Professor Reimund P. Rötter (University of Göttingen) is a distinguished researcher with over 25 years of expertise in agronomy, agricultural systems modeling, and agroecology across Europe, Africa, and Asia. Professor Rötter's work focuses on developing and identifying solutions to the complex challenges presented to humanity such as global food security, increasing resource scarcity and the environmental effects of agricultural production under current changing climate.


He has done substantial work on his research area and namely some of his mainly impactful contributions include research on genetic yield gaps, modeling the multi-functionality of landscapes, assessing agricultural impacts and adaptations to climate change, and, last but not least, reduction of global wheat production under rising temperatures. This also makes him a perfect fit into today's episode on discussing "Crop modelling and its impact on addressing Climate Change"


00:00 - Introduction

01:29 - What is a model / Common misconception about modeling

03:19 - No modeling without experimentation, no experimentation without modeling

09:10 - Data quality and modeling (rubbish in = rubbish out)

13:15 - How to generate a reliable model

15:35 - Thoughts on why models failed to predict Covid19 cases

19:46 - GHG emission scenarios and human behavior

22:22 - "Why" and "How" (crop) modeling is essential in addressing Climate Change / Future crop production trends / Limitations of Global Climate models

30:50 - Adaptation options / Plant breeding / Response diversity

46:05 - How AI is transforming (crop) modeling and agriculture

47:49 - "ChatGPT can become our individual agent…even for modeling..." / Digitalization, AI, and the future of agriculture

55:11 - Why reform is needed in teaching programs in agricultural sciences / The power of collaboration

56:56 - Advice for young researchers