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Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

Biosystems engineering, 2013-04, Vol.114 (4), p.358-371

Mulla, David J.

2013

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Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and Machine Learning

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (14), p.3504

2022

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Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (8), p.1234

2020

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Implementation of Proximal and Remote Soil Sensing, Data Fusion and Machine Learning to Improve Phosphorus Spatial Prediction for Farms in Ontario, Canada

Agronomy (Basel), 2024-04, Vol.14 (4), p.693

2024

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Collaborative Geodesign to advance multifunctional landscapes

Landscape and urban planning, 2016-12, Vol.156, p.71-80

2016

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Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars

Computers and electronics in agriculture, 2015-03, Vol.112, p.36-46

2015

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The Influence of Aerial Hyperspectral Image Processing Workflow on Nitrogen Uptake Prediction Accuracy in Maize

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (1), p.132

2022

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Economic Optimal Nitrogen Rate Variability of Maize in Response to Soil and Weather Conditions: Implications for Site-Specific Nitrogen Management

Agronomy (Basel), 2020-09, Vol.10 (9), p.1237

2020

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Groundwater Quality Characterization in an Overallocated Semi-Arid Coastal Area Using an Integrated Approach: Case of the Essaouira Basin, Morocco

Water (Basel), 2020-11, Vol.12 (11), p.3202

2020

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Assessment and Application of EPIC in Simulating Upland Rice Productivity, Soil Water, and Nitrogen Dynamics under Different Nitrogen Applications and Planting Windows

Agronomy (Basel), 2023-09, Vol.13 (9), p.2379

2023

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Optimizing Nitrogen Fertilization to Enhance Productivity and Profitability of Upland Rice Using CSM–CERES–Rice

Plants (Basel), 2023-10, Vol.12 (21), p.3685

2023

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Calibration and validation of hillslope runoff and soil loss outputs from the Water Erosion Prediction Project model in Minnesota agricultural watersheds

Journal of the American Water Resources Association, 2023-12, Vol.59 (6), p.1529-1548

2023

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A Methodology for the Detection of Nitrogen Deficiency in Corn Fields Using High-Resolution RGB Imagery

IEEE transactions on automation science and engineering, 2021-10, Vol.18 (4), p.1879-1891

2021

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Remote Sensing for Precision Nitrogen Management

2022

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Mapping Potential Foodsheds Using Regionalized Consumer Expenditure Data for Southeastern Minnesota

Journal of agriculture, food systems, and community development, 2017-08, Vol.7 (3), p.1-16

2017

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Estimating Uncertainty of Economically Optimum Fertilizer Rates

Agronomy journal, 2008-09, Vol.100 (5), p.1221-1229

2008

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Impact of variable rate nitrogen and reduced irrigation management on nitrate leaching for potato

Journal of environmental quality, 2020-03, Vol.49 (2), p.281-291

2020

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Computing uncertainty in the optimum nitrogen rate using a generalized cost function

Computers and electronics in agriculture, 2019-12, Vol.167, p.105030, Article 105030

2019

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Identifying important factors influencing corn yield and grain quality variability using artificial neural networks

Precision agriculture, 2006-05, Vol.7 (2), p.117-135

2006

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Bringing automated, remote‐sensed, machine learning methods to monitoring crop landscapes at scale

Agricultural economics, 2019-11, Vol.50 (S1), p.41-50

2019

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Carbon Dosing Increases Nitrate Removal Rates in Denitrifying Bioreactors at Low‐Temperature High‐Flow Conditions

Journal of environmental quality, 2018-07, Vol.47 (4), p.856-864

2018

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Predicting nitrate‐nitrogen loads in subsurface drainage as a function of fertilizer application rate and timing in southern Minnesota

Journal of environmental quality, 2020-09, Vol.49 (5), p.1347-1358

2020

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Comparative simulation of crop productivity, soil moisture and nitrate-N leaching losses for intermediate wheatgrass and maize in Minnesota using the DSSAT model

Frontiers in sustainable food systems, 2023-07, Vol.7

2023

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Developing Active Canopy Sensor-Based Precision Nitrogen Management Strategies for Maize in Northeast China

Sustainability, 2019-01, Vol.11 (3), p.706

2019

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An integrated approach to site-specific management zone delineation

Frontiers of Agricultural Science and Engineering, 2018-11, Vol.5 (4), p.432-441

2018

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Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and Machine Learning

Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery

Implementation of Proximal and Remote Soil Sensing, Data Fusion and Machine Learning to Improve Phosphorus Spatial Prediction for Farms in Ontario, Canada

Collaborative Geodesign to advance multifunctional landscapes

Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars

The Influence of Aerial Hyperspectral Image Processing Workflow on Nitrogen Uptake Prediction Accuracy in Maize

Economic Optimal Nitrogen Rate Variability of Maize in Response to Soil and Weather Conditions: Implications for Site-Specific Nitrogen Management

Groundwater Quality Characterization in an Overallocated Semi-Arid Coastal Area Using an Integrated Approach: Case of the Essaouira Basin, Morocco

Assessment and Application of EPIC in Simulating Upland Rice Productivity, Soil Water, and Nitrogen Dynamics under Different Nitrogen Applications and Planting Windows

Optimizing Nitrogen Fertilization to Enhance Productivity and Profitability of Upland Rice Using CSM–CERES–Rice

Calibration and validation of hillslope runoff and soil loss outputs from the Water Erosion Prediction Project model in Minnesota agricultural watersheds

A Methodology for the Detection of Nitrogen Deficiency in Corn Fields Using High-Resolution RGB Imagery

Remote Sensing for Precision Nitrogen Management

Mapping Potential Foodsheds Using Regionalized Consumer Expenditure Data for Southeastern Minnesota

Estimating Uncertainty of Economically Optimum Fertilizer Rates

Impact of variable rate nitrogen and reduced irrigation management on nitrate leaching for potato

Computing uncertainty in the optimum nitrogen rate using a generalized cost function

Identifying important factors influencing corn yield and grain quality variability using artificial neural networks

Bringing automated, remote‐sensed, machine learning methods to monitoring crop landscapes at scale

Carbon Dosing Increases Nitrate Removal Rates in Denitrifying Bioreactors at Low‐Temperature High‐Flow Conditions

Predicting nitrate‐nitrogen loads in subsurface drainage as a function of fertilizer application rate and timing in southern Minnesota

Comparative simulation of crop productivity, soil moisture and nitrate-N leaching losses for intermediate wheatgrass and maize in Minnesota using the DSSAT model

Developing Active Canopy Sensor-Based Precision Nitrogen Management Strategies for Maize in Northeast China

An integrated approach to site-specific management zone delineation

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