Andrew J. Margenot

Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing

Sheng Wang, Kaiyu Guan, Chenhui Zhang et al. · Remote Sensing of Environment · 2022 · 223 citations · Full text

Agriculture, Earth Sciences, Soil Sciences +15

Soil Organic Matter Functional Group Composition in Relation to Organic Carbon, Nitrogen, and Phosphorus Fractions in Organically Managed Tomato Fields

Andrew J. Margenot, Francisco J. Calderón, Timothy M. Bowles et al. · Soil Science Society of America Journal · 2015 · 185 citations

Agriculture, Agronomy, Soil Sciences +17

Tuning support vector machines regression models improves prediction accuracy of soil properties in MIR spectroscopy

Leonardo Deiss, Andrew J. Margenot, Steve W. Culman et al. · Geoderma · 2020 · 134 citations

Agriculture, Earth Sciences, Soil Sciences +12

Methodological recommendations for optimizing assays of enzyme activities in soil samples

Andrew J. Margenot, Yuhei Nakayama, Sanjai J. Parikh · Soil Biology and Biochemistry · 2018 · 100 citations

Agriculture, Biochemistry, Soil Sciences +16

Assessing the impacts of cover crops on maize and soybean yield in the U.S. Midwestern agroecosystems

Ziqi Qin, Kaiyu Guan, Wang Zhou et al. · Field Crops Research · 2021 · 98 citations

Agriculture, Agronomy, Crop Sciences +14