Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets

Research article (Royal Society Open Science, 2023) · cited 17× · AI/ML
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Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets

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Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/characteristic-features-of-statistical-models-and-machine-learning-methods-derived-from-pest-and-disease-monitoring-data
MLA “Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/characteristic-features-of-statistical-models-and-machine-learning-methods-derived-from-pest-and-disease-monitoring-data.
BibTeX @misc{4ortxyz_characteristic-features-of-statistical-models-and-machine-learning-methods-derived-from-pest-and-disease-monitoring-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets}}, year = {2026}, url = {https://4ort.xyz/entity/characteristic-features-of-statistical-models-and-machine-learning-methods-derived-from-pest-and-disease-monitoring-data}, note = {Accessed: 2026-05-24}}
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