Improving generalisability and transferability of machine-learning-based maize yield prediction model through domain adaptation

Research article (Agricultural and Forest Meteorology, 2023) · cited 53× · AI/ML
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Improving generalisability and transferability of machine-learning-based maize yield prediction model through domain adaptation

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Improving generalisability and transferability of machine-learning-based maize yield prediction model through domain adaptation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving generalisability and transferability of machine-learning-based maize yield prediction model through domain adaptation. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-generalisability-and-transferability-of-machine-learning-based-maize-yield-prediction-model-through-domain-ada
MLA “Improving generalisability and transferability of machine-learning-based maize yield prediction model through domain adaptation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-generalisability-and-transferability-of-machine-learning-based-maize-yield-prediction-model-through-domain-ada.
BibTeX @misc{4ortxyz_improving-generalisability-and-transferability-of-machine-learning-based-maize-yield-prediction-model-through-domain-ada_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving generalisability and transferability of machine-learning-based maize yield prediction model through domain adaptation}}, year = {2026}, url = {https://4ort.xyz/entity/improving-generalisability-and-transferability-of-machine-learning-based-maize-yield-prediction-model-through-domain-ada}, note = {Accessed: 2026-05-24}}
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