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Predicting fumonisins in Iowa corn: Gradient boosting machine learning

Cereal chemistry, 2024-08

2024

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Stub Length and Stub Angle Did Not Influence Renewal Shoot Number or Branch Angle of Tall Spindle ‘Gala’/Malling 9 Apple Trees

HortTechnology (Alexandria, Va.), 2019-02, Vol.29 (1), p.46-49

2019

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Effect of Abscisic Acid and Benzyladenine on Fruit Set and Fruit Quality of Apples

HortScience, 2011-04, Vol.46 (4), p.604-609

2011

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1-Aminocyclopropane Carboxylic Acid Shows Promise as a Chemical Thinner for Apple

HortScience, 2012-09, Vol.47 (9), p.1308-1311

2012

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Influence of Mechanical String Thinning Treatments on Vegetative and Reproductive Tissues, Fruit Set, Yield, and Fruit Quality of ‘Gala’ Apple

HortScience, 2013-01, Vol.48 (1), p.40-46

2013

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Potassium Fertility and Terrain Attributes in a Fragiudalf Drainage Catena

Soil Science Society of America journal, 2008-09, Vol.72 (5), p.1311-1320

2008

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A Method for Quantifying Whole-tree Pruning Severity in Mature Tall Spindle Apple Plantings

HortScience, 2017-09, Vol.52 (9), p.1233-1240

2017

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Interpreting the spatial distribution of soil properties with a physically-based distributed hydrological model

Geoderma Regional, 2024-12, Vol.39, p.e00863, Article e00863

2024

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Parsimonious modeling of hydrologic responses in engineered watersheds: Structural heterogeneity versus functional homogeneity

Water resources research, 2010-04, Vol.46 (4), p.n/a

2010

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Developing methods for a terrain attribute derived soil map

Soil horizons, 2010, Vol.51 (2), p.37-40

2010

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Pixel-based spatiotemporal statistics from remotely sensed imagery improves spatial predictions and sampling strategies of alluvial soils

Geoderma, 2024-07, Vol.447, p.116919, Article 116919

2024

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Gradient boosting machine learning model to predict aflatoxins in Iowa corn

Frontiers in microbiology, 2023-09, Vol.14, p.1248772-1248772

2023

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Vegetation Masking of Remote Sensing Data Aids Machine Learning for Soil Fertility Prediction

Remote sensing (Basel, Switzerland), 2024-09, Vol.16 (17), p.3297

2024

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Dynamic geospatial modeling of mycotoxin contamination of corn in Illinois: unveiling critical factors and predictive insights with machine learning

Frontiers in microbiology, 2023-11, Vol.14, p.1283127-1283127

2023

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COVID-19-related mortality in kidney transplant and haemodialysis patients: a comparative, prospective registry-based study

Nephrology, dialysis, transplantation, 2021-11, Vol.36 (11), p.2094-2105

2021

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Heavy metals concentration in soils across the conterminous USA: Spatial prediction, model uncertainty, and influencing factors

The Science of the total environment, 2024-04, Vol.919, p.170972-170972, Article 170972

2024

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Predicting fumonisins in Iowa corn: Gradient boosting machine learning

Stub Length and Stub Angle Did Not Influence Renewal Shoot Number or Branch Angle of Tall Spindle ‘Gala’/Malling 9 Apple Trees

Effect of Abscisic Acid and Benzyladenine on Fruit Set and Fruit Quality of Apples

1-Aminocyclopropane Carboxylic Acid Shows Promise as a Chemical Thinner for Apple

Influence of Mechanical String Thinning Treatments on Vegetative and Reproductive Tissues, Fruit Set, Yield, and Fruit Quality of ‘Gala’ Apple

Potassium Fertility and Terrain Attributes in a Fragiudalf Drainage Catena

A Method for Quantifying Whole-tree Pruning Severity in Mature Tall Spindle Apple Plantings

Interpreting the spatial distribution of soil properties with a physically-based distributed hydrological model

Parsimonious modeling of hydrologic responses in engineered watersheds: Structural heterogeneity versus functional homogeneity

Developing methods for a terrain attribute derived soil map

Pixel-based spatiotemporal statistics from remotely sensed imagery improves spatial predictions and sampling strategies of alluvial soils

Gradient boosting machine learning model to predict aflatoxins in Iowa corn

Vegetation Masking of Remote Sensing Data Aids Machine Learning for Soil Fertility Prediction

Dynamic geospatial modeling of mycotoxin contamination of corn in Illinois: unveiling critical factors and predictive insights with machine learning

COVID-19-related mortality in kidney transplant and haemodialysis patients: a comparative, prospective registry-based study

Heavy metals concentration in soils across the conterminous USA: Spatial prediction, model uncertainty, and influencing factors

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