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Analysis of Nitrogen Uptake in Winter Wheat Using Sensor and Satellite Data for Site-Specific Fertilization

https://doi.org/10.3390/agronomy12061455

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Variable-rate nitrogen fertilization of winter wheat under high spatial resolution

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Automatic delineation algorithm for site-specific management zones based on satellite remote sensing data

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Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data

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Site‐specific nitrogen balances based on spatially variable soil and plant properties

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Precision nitrogen management of wheat. A review

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Nitrate pollution of groundwater in western Europe

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Optimization of a nitrogen analyser based on the Dumas method

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Nitrate accumulation and movement under deficit irrigation in soil receiving cattle manure and commercial fertilizer

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Increased nitrogen use efficiencies as a key mitigation alternative to reduce nitrate leaching in north china plain

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Simulation of bromide and nitrate leaching under heavy rainfall and high-intensity irrigation rates in North China Plain

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Spectral and spatial differences in response of vegetation indices to nitrogen treatments on apple

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Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems

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Delineation of management zones to improve nitrogen management of wheat

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Delineation of management zones based on soil mechanical-chemical properties to apply variable rates of inputs throughout a field (VRA)

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Improved evaluation of field experiments by accounting for inherent soil variability

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Efficacy of agronomic strategies for mitigation of after-harvest N 2 O emissions of winter oilseed rape

inferredcites →https://doi.org/10.1016/j.fcr.2007.07.008openalex-snapshot

On-farm evaluation of an in-season nitrogen management strategy based on soil Nmin test

inferredcites →https://doi.org/10.1016/j.fcr.2011.06.007openalex-snapshot

Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars

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Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices

inferredcites →https://doi.org/10.1016/j.fcr.2016.08.023openalex-snapshot

Remote detection of canopy leaf nitrogen concentration in winter wheat by using water resistance vegetation indices from in-situ hyperspectral data

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Simulation of satellite reflectance data using high-frequency ground based hyperspectral canopy measurements for in-season estimation of grain yield and grain nitrogen status in winter wheat

inferredcites →https://doi.org/10.1016/j.jag.2019.101921openalex-snapshot

Rapid mapping of winter wheat yield, protein, and nitrogen uptake using remote and proximal sensing

inferredcites →https://doi.org/10.1016/j.jhydrol.2009.07.046openalex-snapshot

PROMET – Large scale distributed hydrological modelling to study the impact of climate change on the water flows of mountain watersheds

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Comparison of winter wheat NDVI data derived from Landsat 8 and active optical sensor at field scale

inferredcites →https://doi.org/10.1016/j.rse.2006.12.013openalex-snapshot

Coupled soil–leaf-canopy and atmosphere radiative transfer modeling to simulate hyperspectral multi-angular surface reflectance and TOA radiance data

inferredcites →https://doi.org/10.1016/s0168-1699(00)00153-8openalex-snapshot

Precision farming — the environmental challenge

inferredcites →https://doi.org/10.1016/s1161-0301(96)02027-8openalex-snapshot

Nitrogen balance and soil nitrogen dynamics in two areas with different soil, climatic and cropping conditions

inferredcites →https://doi.org/10.1017/s0021859615000143openalex-snapshot

Delineating site-specific management zones for precision agriculture

inferredcites →https://doi.org/10.1071/cp10374openalex-snapshot

Optical sensing estimation of leaf nitrogen concentration in maize across a range of water-stress levels

inferredcites →https://doi.org/10.1093/jaoac/51.4.766openalex-snapshot

The Dumas Method for Nitrogen in Feeds

inferredcites →https://doi.org/10.1111/j.1475-2743.2006.00065.xopenalex-snapshot

Identifying management zones in agricultural fields using spatially constrained classification of soil and ancillary data

inferredcites →https://doi.org/10.1515/intag-2016-0046openalex-snapshot

Yield variability prediction by remote sensing sensors with different spatial resolution

inferredcites →https://doi.org/10.17221/412/2015-pseopenalex-snapshot

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Conceptual Design of a Comprehensive Farm Nitrogen Management System

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Emerging and Established Technologies to Increase Nitrogen Use Efficiency of Cereals

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Assessing the Robustness of Vegetation Indices to Estimate Wheat N in Mediterranean Environments

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Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe

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A Comparison of Two Approaches for Estimating the Wheat Nitrogen Nutrition Index Using Remote Sensing

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inferredcites →https://doi.org/10.3390/s19173712openalex-snapshot

Sensitivity of Vegetation Indices for Estimating Vegetative N Status in Winter Wheat

inferredcites →https://doi.org/10.3390/s22010019openalex-snapshot

Comparison of Proximal and Remote Sensing for the Diagnosis of Crop Status in Site-Specific Crop Management

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Strategies for site-specific nitrogen fertilization with respect to long-term environmental demands

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Vergleich von Spektralindizes zur Erfassung der Stickstoffaufnahme bei Winterweizen (Triticum aestivum L.)

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Farm nitrogen balances in six European landscapes as an indicator for nitrogen losses and basis for improved management

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A new method for satellite-based remote sensing analysis of plant-specific biomass yield patterns for precision farming applications

inferred← citeshttps://doi.org/10.1007/s43621-025-01180-2openalex-snapshot

Site-specific N-application in small-scale arable farming in Germany—Evaluation of trade-offs and synergies of ecological and economic parameters based on a case study

inferred← citeshttps://doi.org/10.1016/j.geoderma.2025.117627openalex-snapshot

Mineral-associated organic nitrogen pool size, composition, and accessibility mediated by agricultural management and soil geochemical characteristics

inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e28065openalex-snapshot

Effects of different nitrogen fertilization systems on crop yield and nitrogen use efficiency – Results of a field experiment in southern Germany

inferred← citeshttps://doi.org/10.1080/22797254.2026.2727988openalex-snapshot

Monitoring in-season biomass nitrogen in diversified cropping systems: a machine learning approach

inferred← citeshttps://doi.org/10.3390/agriculture12081128openalex-snapshot

Three Methods of Site-Specific Yield Mapping as a Data Source for the Delineation of Management Zones in Winter Wheat

inferred← citeshttps://doi.org/10.3390/agronomy13071868openalex-snapshot

Using Remote and Proximal Sensing in Organic Agriculture to Assess Yield and Environmental Performance

inferred← citeshttps://doi.org/10.3390/agronomy14010089openalex-snapshot

Nitrogen Cycle in Farming Systems

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Soil and Plant Nitrogen Management Indices Related to Within-Field Spatial Variability

inferred← citeshttps://doi.org/10.3390/plants12183223openalex-snapshot

Development of Methods for Remote Monitoring of Leaf Diseases in Wheat Agrocenoses

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Assessing Durum Wheat Yield through Sentinel-2 Imagery: A Machine Learning Approach

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