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A new perspective when examining maize fertilizer nitrogen use efficiency, incrementally

PloS one, 2022-05, Vol.17 (5), p.e0267215-e0267215

2022

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Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (2), p.394

2022

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Evaluating Critical Nitrogen Dilution Curves for Assessing Maize Nitrogen Status across the US Midwest

Agronomy (Basel), 2023-07, Vol.13 (7), p.1948

2023

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A tale of two fields: Management legacy, soil health, and productivity

Agricultural & environmental letters, 2022, Vol.7 (2), p.n/a

2022

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Early corn stand count of different cropping systems using UAV-imagery and deep learning

Computers and electronics in agriculture, 2021-07, Vol.186, p.106214, Article 106214

2021

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Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations

Computers and electronics in agriculture, 2019-09, Vol.164, p.104872, Article 104872

2019

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Soybean Root Distribution Related to Claypan Soil Properties and Apparent Soil Electrical Conductivity

Crop science, 2007-07, Vol.47 (4), p.1498-1509

2007

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Corn Response to Nitrogen is Influenced by Soil Texture and Weather

Agronomy journal, 2012-11, Vol.104 (6), p.1658-1671

2012

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Repeatability of commercially available visible and near infrared proximal soil sensors

Precision agriculture, 2023-06, Vol.24 (3), p.1014-1029

2023

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Emerging technologies for real-time and integrated agriculture decisions

Computers and electronics in agriculture, 2008-04, Vol.61 (1), p.1-3

Kitchen, Newell R.

2008

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Estimation of Corn Emergence Date Using UAV Imagery

Transactions of the ASABE, 2021, Vol.64 (4), p.1173-1183

2021

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Modeling soil electrical conductivity–depth relationships with data from proximal and penetrating ECa sensors

Geoderma, 2013-05, Vol.199, p.12-21

2013

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Conservation practices to mitigate and adapt to climate change

Journal of soil and water conservation, 2011-07, Vol.66 (4), p.118-129A

2011

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Report from the conference, ‘identifying obstacles to applying big data in agriculture’

Precision agriculture, 2021-02, Vol.22 (1), p.306-315

2021

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Sensor-Based Nitrogen Applications Out-Performed Producer-Chosen Rates for Corn in On-Farm Demonstrations

Agronomy journal, 2011-11, Vol.103 (6), p.1683-1691

2011

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Long-Term Agroecosystem Research in the Central Mississippi River Basin: Introduction, Establishment, and Overview

Journal of environmental quality, 2015, Vol.44 (1), p.3-12

2015

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Ground-Based Canopy Reflectance Sensing for Variable-Rate Nitrogen Corn Fertilization

Agronomy journal, 2010-01, Vol.102 (1), p.71-84

2010

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Field variability and vulnerability index to identify regional precision agriculture opportunity

Precision agriculture, 2018-08, Vol.19 (4), p.589-605

2018

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Long-Term Agroecosystem Research in the Central Mississippi River Basin: Hydrogeologic Controls and Crop Management Influence on Nitrates in Loess and Fractured Glacial Till

Journal of environmental quality, 2015, Vol.44 (1), p.58-70

2015

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Miscanthus × Giganteus Growth and Nutrient Export on 22 Producer Fields

Bioenergy research, 2018-06, Vol.11 (2), p.426-439

2018

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Management Zone Analyst (MZA): Software for subfield management zone delineation

Agronomy journal, 2004, Vol.96 (1), p.100-108

2004

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Assessing Indices for Predicting Potential Nitrogen Mineralization in Soils under Different Management Systems

Soil Science Society of America journal, 2009-09, Vol.73 (5), p.1575-1586

2009

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Role of inherent soil characteristics in assessing soil health across Missouri

Agricultural & environmental letters, 2020, Vol.5 (1), p.n/a

2020

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Economically Optimal Nitrogen Rate Reduces Soil Residual Nitrate

Journal of environmental quality, 2007-03, Vol.36 (2), p.354-362

2007

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Field-scale variability in optimal nitrogen fertilizer rate for corn

Agronomy journal, 2005-03, Vol.97 (2), p.452-461

2005

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A new perspective when examining maize fertilizer nitrogen use efficiency, incrementally

Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning

Evaluating Critical Nitrogen Dilution Curves for Assessing Maize Nitrogen Status across the US Midwest

A tale of two fields: Management legacy, soil health, and productivity

Early corn stand count of different cropping systems using UAV-imagery and deep learning

Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations

Soybean Root Distribution Related to Claypan Soil Properties and Apparent Soil Electrical Conductivity

Corn Response to Nitrogen is Influenced by Soil Texture and Weather

Repeatability of commercially available visible and near infrared proximal soil sensors

Emerging technologies for real-time and integrated agriculture decisions

Estimation of Corn Emergence Date Using UAV Imagery

Modeling soil electrical conductivity–depth relationships with data from proximal and penetrating ECa sensors

Conservation practices to mitigate and adapt to climate change

Report from the conference, ‘identifying obstacles to applying big data in agriculture’

Sensor-Based Nitrogen Applications Out-Performed Producer-Chosen Rates for Corn in On-Farm Demonstrations

Long-Term Agroecosystem Research in the Central Mississippi River Basin: Introduction, Establishment, and Overview

Ground-Based Canopy Reflectance Sensing for Variable-Rate Nitrogen Corn Fertilization

Field variability and vulnerability index to identify regional precision agriculture opportunity

Long-Term Agroecosystem Research in the Central Mississippi River Basin: Hydrogeologic Controls and Crop Management Influence on Nitrates in Loess and Fractured Glacial Till

Miscanthus × Giganteus Growth and Nutrient Export on 22 Producer Fields

Management Zone Analyst (MZA): Software for subfield management zone delineation

Assessing Indices for Predicting Potential Nitrogen Mineralization in Soils under Different Management Systems

Role of inherent soil characteristics in assessing soil health across Missouri

Economically Optimal Nitrogen Rate Reduces Soil Residual Nitrate

Field-scale variability in optimal nitrogen fertilizer rate for corn

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