MIDAS - An Influence Diagram for Management of Mildew in Winter Wheat
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Abstract (arXiv)
We present a prototype of a decision support system for management of the fungal disease mildew in winter wheat. The prototype is based on an influence diagram which is used to determine the optimal time and dose of mildew treatments. This involves multiple decision opportunities over time, stochasticity, inaccurate information and incomplete knowledge. The paper describes the practical and theoretical problems encountered during the construction of the influence diagram, and also the experience with the prototype.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Feb 2013.
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1; 2026: 2.
4 papers.
- 2023Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairscited by 9
- 2025Embracing Discrete Search: A Reasonable Approach to Causal Structure Learningcited by 4
- 2026Consistency evaluation of benchmarks used for causal discoverycited by 1
- 2026A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variablescited by 0
- 2026Consistency evaluation of benchmarks used for causal discovery1 Jun 2026
- 2026A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables11 May 2026
- 2025Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning6 Oct 2025
- 2023Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs25 Oct 2023