We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Markov model planning on the adoption of an enhanced wheat cultivar.
- Authors
Golpira, Hiwa; Rashidian, Parviz; Demmel, Markus
- Abstract
Predictions on the time needed to adopt new technologies can be used for planning purposes. These predictions should be calculated using a Markov planning model, which is a probabilistic approach to estimating the speed of adoption. In a research project, a data‐driven model was developed to simulate the adoption rate of an enhanced, drought‐resistant rain‐fed hard wheat (Triticum aestivum L.) cultivar in Kurdistan, Iran. The growers' decision‐making on cultivar replacement was mapped onto the transition matrix, state probability, transition diagram, and tree of the states of the Markov process to compute the limiting probability of the stochastic model, thereby simulating the adoption rate of the wheat cultivar. The mathematical model, which achieves a convergence of 82% adoption for the enhanced wheat cultivar within 5 years, simulates farmers' behavior and knowledge to enhance food security. Simulating the future of new technology in food and agricultural systems using the proposed methodology can assist policymakers in making informed decisions. Core Ideas: The adoption of an enhanced drought‐resistant wheat cultivar was mathematically modeled.A data‐driven simulator was developed to analyze the adoption of the wheat cultivar over time.The seeding adoption rate of the enhanced wheat cultivar was predicted.The stochastic analysis of farmers' decision‐making to improve food security was conducted.
- Subjects
MARKOV processes; TECHNOLOGICAL innovations; STOCHASTIC analysis; ADOPTION of ideas; WHEAT; FARMERS; WINTER wheat
- Publication
Agronomy Journal, 2024, Vol 116, Issue 3, p855
- ISSN
0002-1962
- Publication type
Article
- DOI
10.1002/agj2.21388