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Principal Component Analysis

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This is an automated aggregation of all research tagged "Principal Component Analysis" across the OpenAgData network. It updates in real-time as new papers are published.

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Topic: Principal Component Analysis

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Shiyang Li, Rabin Bhattarai, Li Wang, Richard A. Cooke, Fang Ma, Prasanta K. Kalita • Unknown Hub (2014)

Illinois

Khandakar Rafiq Islam, Arifur Rahman, Warren A. Dick, Vinayak S. Shedekar, Javier Gonzalez, Dexter B. Watts, Norman R. Fausey, Marvin T. Batte, Tara T. VanToai, Randall Reeder, Dennis C. Flanagan • Unknown Hub (2026)

“A yield-correlated minimum soil dataset — total organic carbon, microbial biomass carbon, active carbon, total nitrogen and aggregate stability — tracked full-dataset soil quality scores closely (R² 0.53–0.93) and beat the usual PCA-selected indicator set. Pairing linear scoring that uses threshold limits with simple additive indexing kept soil quality index values within ±1% of the full dataset, giving farmers and advisers a cheaper, transferable way to rate soil quality across corn–soybean sites in Alabama, Indiana and Ohio.”

Soil Health ImprovementAlabama

Rafiq Islam, Javier Gonzalez, Dexter Watts, Arifur Rahman, Warren Dick, Randall Reeder, Norman Fausey, Tara VanToai, Dennis Flanagan, Marvin Batte • Unknown Hub (2026)

Alabama

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