Field-scale UAV-based multispectral phenomics: Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping

Research article (Computers and Electronics in Agriculture, 2024) · cited 15× · AI/ML
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Field-scale UAV-based multispectral phenomics: Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping

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Field-scale UAV-based multispectral phenomics: Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Field-scale UAV-based multispectral phenomics: Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping. Retrieved May 24, 2026, from https://4ort.xyz/entity/field-scale-uav-based-multispectral-phenomics-leveraging-machine-learning-explainable-ai-and-hybrid-feature-engineering-
MLA “Field-scale UAV-based multispectral phenomics: Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/field-scale-uav-based-multispectral-phenomics-leveraging-machine-learning-explainable-ai-and-hybrid-feature-engineering-.
BibTeX @misc{4ortxyz_field-scale-uav-based-multispectral-phenomics-leveraging-machine-learning-explainable-ai-and-hybrid-feature-engineering-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Field-scale UAV-based multispectral phenomics: Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping}}, year = {2026}, url = {https://4ort.xyz/entity/field-scale-uav-based-multispectral-phenomics-leveraging-machine-learning-explainable-ai-and-hybrid-feature-engineering-}, note = {Accessed: 2026-05-24}}
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