| Autor: |
PRATT, LORIEN, ROBERTS, DAVID, MALCOLM, NADINE, FISHER, BRIAN, BARNHILL, KATIE, JONES, DANIELA, KUDENOV, MICHAEL |
| Předmět: |
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| Zdroj: |
Foresight: The International Journal of Applied Forecasting; 2024 Q1, Issue 72, p52-57, 6p |
| Abstrakt: |
The article explores the concept of Decision Intelligence (DI) and its application in agricultural decision-making. DI integrates forecasting, AI, and data to enhance decision-making processes. The authors introduce the Causal Decision Diagram (CDD) as a framework for integrating decision assets from various disciplines. They highlight the role of forecasters in DI and provide a case study on sweetpotato production to demonstrate the value of forecasting in agricultural decision-making. The article emphasizes the significance of data and technology in improving decision-making processes in agriculture. [Extracted from the article] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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