These models integrate climate hydro logical and crop components to understand and predict the complex interactions within agricultural systems and their responses to climate variables. By employing this approach policymakers researchers and stakeholders can gain comprehensive insights into the potential consequences of climate change on crop growth water availability soil fertility and overall crop yield. However challenges exist in the implementation of this approach including data reliability; scarcity of complete long-term data; lack of experimental information about crop species especially local varieties; inadequate research resources; lack of expertise concerning modeling approaches; lack of testing; inaccurate testing; calibration; and model uncertainties. Furthermore to address limitations and challenges in implementing this approach improving the availability and reliability of data collection method and data quality should be conducted to ensure the accuracy of simulation and prediction.
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