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Wheat yield and protein estimation with handheld‐ and UAV‐based reflectance measurements

https://doi.org/10.1002/agg2.20309

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What this work says

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

inferredcites →https://doi.org/10.1002/agg2.20104openalex-snapshot

Grain yield, quality, and spectral characteristics of wheat grown under varied nitrogen and irrigation

inferredcites →https://doi.org/10.1002/agj2.20621openalex-snapshot

Comparisons of sensors to predict spring wheat grain yield and protein content

inferredcites →https://doi.org/10.1007/s10681-016-1741-zopenalex-snapshot

Relationship between SPAD value and grain yield can be affected by cultivar, environment and soil nitrogen content in wheat

inferredcites →https://doi.org/10.1007/s11119-008-9080-2openalex-snapshot

A comparison of crop data measured by two commercial sensors for variable-rate nitrogen application

inferredcites →https://doi.org/10.1007/s11119-016-9431-3openalex-snapshot

Evaluation of mid-season sensor based nitrogen fertilizer recommendations for winter wheat using different estimates of yield potential

inferredcites →https://doi.org/10.1007/s11120-006-9077-5openalex-snapshot

Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings

inferredcites →https://doi.org/10.1007/s13593-012-0111-zopenalex-snapshot

Precision nitrogen management of wheat. A review

inferredcites →https://doi.org/10.1007/s42106-021-00172-2openalex-snapshot

Leaf Nitrogen, Based on SPAD Chlorophyll Reading Can Determine Agronomic Parameters of Winter Wheat

inferredcites →https://doi.org/10.1016/0034-4257(79)90013-0openalex-snapshot

Red and photographic infrared linear combinations for monitoring vegetation

inferredcites →https://doi.org/10.1016/b0-12-765490-9/00099-9openalex-snapshot

NUTRITION | Mineral Composition

inferredcites →https://doi.org/10.1016/j.compag.2014.08.012openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.cropro.2015.07.016openalex-snapshot

Impact of Fusarium graminearum inoculum availability and fungicide application timing on Fusarium head blight in wheat

inferredcites →https://doi.org/10.1016/j.fcr.2010.11.002openalex-snapshot

Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground- and space-based hyperspectral reflectance

inferredcites →https://doi.org/10.1016/j.plantsci.2018.10.022openalex-snapshot

A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform

inferredcites →https://doi.org/10.1016/s0065-2113(05)88004-6openalex-snapshot

Enhancing Nitrogen Use Efficiency in Crop Plants

inferredcites →https://doi.org/10.1017/s0014479717000278openalex-snapshot

RELIABILITY OF NDVI DERIVED BY HIGH RESOLUTION SATELLITE AND UAV COMPARED TO IN-FIELD METHODS FOR THE EVALUATION OF EARLY CROP N STATUS AND GRAIN YIELD IN WHEAT

inferredcites →https://doi.org/10.1023/a:1009940700478openalex-snapshot

Interpreting Within-Field Relationships Between Crop Yields and Soil and Plant Variables Using Factor Analysis

inferredcites →https://doi.org/10.1080/00103620701277916openalex-snapshot

Utilization of Existing Technology to Evaluate Spring Wheat Growth and Nitrogen Nutrition in South Dakota

inferredcites →https://doi.org/10.1080/00103624.2014.904337openalex-snapshot

In-Season Prediction of Nitrogen Use Efficiency and Grain Protein in Winter Wheat (Triticum aestivumL.)

inferredcites →https://doi.org/10.1080/00103629209368733openalex-snapshot

Comparison of corn leaf nitrogen concentration and chlorophyll meter readings

inferredcites →https://doi.org/10.1080/00103629609369576openalex-snapshot

Monitoring nitrogen status of corn with a portable chlorophyll meter

inferredcites →https://doi.org/10.1080/00387010.2015.1133652openalex-snapshot

Impact of spectral saturation on leaf area index and aboveground biomass estimation of winter wheat

inferredcites →https://doi.org/10.1080/01431161.2019.1641762openalex-snapshot

Normalized Difference Vegetation Index versus Dark Green Colour Index to estimate nitrogen status on bermudagrass hybrid and tall fescue

inferredcites →https://doi.org/10.1080/01904160600649187openalex-snapshot

Mid-Season Prediction of Wheat-Grain Yield Potential Using Plant, Soil, and Sensor Measurements

inferredcites →https://doi.org/10.1080/01904167.2011.533319openalex-snapshot

APPLICABILITY OF CHLOROPHYLL METER READINGS AS YIELD PREDICTOR IN DURUM WHEAT

inferredcites →https://doi.org/10.1080/01904169809365478openalex-snapshot

Detection of nitrogen and phosphorus nutrient status in winter wheat using spectral radiance

inferredcites →https://doi.org/10.1080/1343943x.2020.1819165openalex-snapshot

Predicting within-field variability in grain yield and protein content of winter wheat using UAV-based multispectral imagery and machine learning approaches

inferredcites →https://doi.org/10.1081/css-120000956openalex-snapshot

Chlorophyll meter readings of winter wheat cultivars and grain yield prediction

inferredcites →https://doi.org/10.1081/css-120023219openalex-snapshot

Late-season Prediction Of Wheat Grain Yield And Grain Protein

inferredcites →https://doi.org/10.1081/pln-200025858openalex-snapshot

Evaluation of Green, Red, and Near Infrared Bands for Predicting Winter Wheat Biomass, Nitrogen Uptake, and Final Grain Yield

inferredcites →https://doi.org/10.1094/9781891127557.004openalex-snapshot

CHAPTER 4: Criteria of Wheat and Flour Quality

inferredcites →https://doi.org/10.1109/iconda47345.2019.9034916openalex-snapshot

Development of Rice Growth Map Using the Advanced Remote Sensing Techniques

inferredcites →https://doi.org/10.1109/iotsms48152.2019.8939264openalex-snapshot

Assessing the Yield of a Multi-varieties Crop of Camelina sativa (L.) Crantz through NDVI Remote Sensing

inferredcites →https://doi.org/10.1109/jstars.2012.2198049openalex-snapshot

Radiometry of Proximal Active Optical Sensors (AOS) for Agricultural Sensing

inferredcites →https://doi.org/10.1111/jipb.12757openalex-snapshot

Genetics of barley tiller and leaf development

inferredcites →https://doi.org/10.1155/2014/725326openalex-snapshot

Normalized Difference Vegetation Index as a Tool for Wheat Yield Estimation: A Case Study from Faisalabad, Pakistan

inferredcites →https://doi.org/10.1371/journal.pone.0211889openalex-snapshot

Use of consumer-grade cameras to assess wheat N status and grain yield

inferredcites →https://doi.org/10.2134/age2018.10.0045openalex-snapshot

World Cereal Nitrogen Use Efficiency Trends: Review and Current Knowledge

inferredcites →https://doi.org/10.2134/agronj14.0392openalex-snapshot

Using Canopy Indices to Quantify the Economic Optimum Nitrogen Rate in Spring Wheat

inferredcites →https://doi.org/10.2134/agronj2001.931131xopenalex-snapshot

In‐Season Prediction of Potential Grain Yield in Winter Wheat Using Canopy Reflectance

inferredcites →https://doi.org/10.2134/agronj2003.1000openalex-snapshot

Spatial Growth and Nitrogen Uptake Variability of Corn at Two Nitrogen Levels

inferredcites →https://doi.org/10.2134/agronj2006.0103openalex-snapshot

In‐Season Prediction of Corn Grain Yield Potential Using Normalized Difference Vegetation Index

inferredcites →https://doi.org/10.2134/agronj2006.0135openalex-snapshot

By‐Plant Prediction of Corn Forage Biomass and Nitrogen Uptake at Various Growth Stages Using Remote Sensing and Plant Height

inferredcites →https://doi.org/10.2134/agronj2017.05.0279openalex-snapshot

Can Yield Goals Be Predicted?

inferredcites →https://doi.org/10.2134/cs2014-47-3-7openalex-snapshot

U.S. West: Urea, ESN, and urea–ESN blends performed equally well as nitrogen sources for spring wheat

inferredcites →https://doi.org/10.2135/cropsci1999.0011183x003900010069xopenalex-snapshot

Registration of ‘Jefferson’ Wheat

inferredcites →https://doi.org/10.2135/cropsci2000.403723xopenalex-snapshot

Remote Sensing of Biomass and Yield of Winter Wheat under Different Nitrogen Supplies

inferredcites →https://doi.org/10.2135/cropsci2002.1564openalex-snapshot

Spatial and Temporal Variability of Corn Growth and Grain Yield

inferredcites →https://doi.org/10.2136/sssaj2005.0396openalex-snapshot

Potential Impact of Precision Nitrogen Management on Corn Yield, Protein Content, and Test Weight

inferredcites →https://doi.org/10.3198/jpr2012.07.0010crcopenalex-snapshot

Registration of ‘UI Stone’ Soft White Spring Wheat

inferredcites →https://doi.org/10.3198/jpr2015.06.0037crcopenalex-snapshot

Registration of ‘UI Platinum’ Hard White Spring Wheat

inferredcites →https://doi.org/10.3390/agronomy8110257openalex-snapshot

The Influence of Water and Nitrogen Availability on the Expression of End-Use Quality Parameters of Spring Wheat

inferredcites →https://doi.org/10.3390/rs10060930openalex-snapshot

Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content

inferredcites →https://doi.org/10.3390/rs13152937openalex-snapshot

Wheat Yield Prediction Based on Unmanned Aerial Vehicles-Collected Red–Green–Blue Imagery

inferredcites →https://doi.org/10.3390/s19204453openalex-snapshot

Multispectral Sensor Calibration and Characterization for sUAS Remote Sensing

inferredcites →https://doi.org/10.3724/sp.j.1006.2020.94121openalex-snapshot

Effect of variety and growth period on NDVI estimation of nitrogen concentration in potato plants

inferredcites →https://doi.org/10.3920/9789086865147_087openalex-snapshot

Optimisation of oblique-view remote measurement of crop N-uptake under changing irradiance conditions

inferredcites →https://doi.org/10.3920/9789086866649_003openalex-snapshot

Active sensing of the N status of wheat using optimized wavelength combination: impact of seed rate, variety and growth stage

inferredcites →https://doi.org/10.4067/s0718-95162014005000042openalex-snapshot

Influence of integrated soil fertility management in wheat and tef productivity and soil chemical properties in the highland tropical environment

inferredcites →https://doi.org/10.4236/ars.2018.72006openalex-snapshot

Assessment of UAV Based Vegetation Indices for Nitrogen Concentration Estimation in Spring Wheat

inferredcites →https://doi.org/10.54386/jam.v16i1.1491openalex-snapshot

Model for detecting nitrogen deficiency in wheat crop using spectral indices

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4792012openalex-extracted

Optimizing Nitrogen Estimates in Common Bean Canopies Throughout Key Growth Stages Via Fusion of Spectral and Textural Data from Unmanned Aerial Vehicle Multispectral Imagery

inferred← citeshttps://doi.org/10.1002/agj2.70228openalex-snapshot

Evaluating the effect of planting dates on soybean yield using satellite and weather data

inferred← citeshttps://doi.org/10.1016/j.compag.2024.108993openalex-snapshot

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption

inferred← citeshttps://doi.org/10.1016/j.plaphe.2026.100237openalex-snapshot

Variability in crop responses as a function of environment affects the NDVI relationship with grain yield in wheat

inferred← citeshttps://doi.org/10.1016/j.rsase.2024.101418openalex-snapshot

Advancements in UAV remote sensing for agricultural yield estimation: A systematic comprehensive review of platforms, sensors, and data analytics

inferred← citeshttps://doi.org/10.1038/s41597-024-03357-2openalex-snapshot

A global dataset for assessing nitrogen-related plant traits using drone imagery in major field crop species

inferred← citeshttps://doi.org/10.15407/frg2024.06.529openalex-snapshot

The effect of ammonium and trinexapac-ethyl on the photosynthetic apparatus and productivity of winter wheat

inferred← citeshttps://doi.org/10.18016/ksutarimdoga.vi.1226330openalex-snapshot

Investigation The Affect Of Seeding Rates On Biomass Yield Of Bread Wheat And Usability Of NDVI For Biomass Yield Estimation

inferred← citeshttps://doi.org/10.21273/hortsci17279-23openalex-snapshot

Evaluation of Physiological Changes in Flowering Dogwood under Drought Conditions in a Container Production System

inferred← citeshttps://doi.org/10.3389/fpls.2023.1214931openalex-snapshot

Multi temporal multispectral UAV remote sensing allows for yield assessment across European wheat varieties already before flowering

inferred← citeshttps://doi.org/10.3389/fpls.2026.1812052openalex-snapshot

Predicting wheat yield and grain quality with UAV multispectral imagery and deep learning

inferred← citeshttps://doi.org/10.3390/agronomy13010207openalex-snapshot

Wheat Yield and Protein Estimation with Handheld and Unmanned Aerial Vehicle-Mounted Sensors

inferred← citeshttps://doi.org/10.3390/agronomy16090939openalex-snapshot

Yield Prediction of Winter Wheat (Triticum aestivum) Varieties Using UAV-Derived Multispectral Vegetation Indices Across Growth Stages

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