Discrete-Time Markov Chain Method for Predicting Probability of Crop Yield Variability
Agricultural crop yield prediction is vital for ensuring global food security and optimizing resource management amid the increasing challenges posed by climate change and extreme weather variability. This study investigates the use of discrete-time, finite-state, time-homogeneous Markov chains to m...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2025-11-01
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| Serie: | Earth |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2673-4834/6/4/142 |
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