ArticleFrontiers in plant science2020
Assessment of Water and Nitrogen Use Efficiencies Through UAV-Based Multispectral Phenotyping in Winter Wheat.
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 96 citations in OpenAlex.
- RGB image-based drought stress classification of garden plants using SVM model.Scientific reports · 2026Article
- Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field.Journal of experimental botany · 2025Article
- High-throughput method for improving rice AGB estimation based on UAV multi-source remote sensing image feature fusion and ensemble learning.Frontiers in plant science · 2025Article
- Remote sensing for estimating genetic parameters of biomass accumulation and modeling stability of growth curves in alfalfa.G3 (Bethesda, Md.) · 2024Article
- Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize.G3 (Bethesda, Md.) · 2024Article
- A global dataset for assessing nitrogen-related plant traits using drone imagery in major field crop species.Scientific data · 2024Article
- Water Stress Alters Physiological, Spectral, and Agronomic Indexes of Wheat Genotypes.Plants (Basel, Switzerland) · 2023Article
- Identification and Comprehensive Evaluation of Resistant Weeds Using Unmanned Aerial Vehicle-Based Multispectral Imagery.Frontiers in plant science · 2022Article
- Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery.Frontiers in plant science · 2022Article
- Sustainability Trait Modeling of Field-Grown Switchgrass (Plants (Basel, Switzerland) · 2021Article
- Technologies and perspectives for achieving carbon neutrality.Innovation (Cambridge (Mass.)) · 2021Review
- QTL mapping of root traits in wheat under different phosphorus levels using hydroponic culture.BMC genomics · 2021Article
- UAV-Based Thermal, RGB Imaging and Gene Expression Analysis Allowed Detection of Fusarium Head Blight and Gave New Insights Into the Physiological Responses to the Disease in Durum Wheat.Frontiers in plant science · 2021Article
- Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data.Frontiers in plant science · 2021Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unmanned aerial vehicle (UAV) based remote sensing is a promising approach for non-destructive and high-throughput assessment of crop water and nitrogen (N) efficiencies. In this study, UAV was used to evaluate two field trials using four water (T0 = 0 mm, T1 = 80 mm, T2 = 120 mm, and T3 = 160 mm), and four N (T0 = 0, T1 = 120 kg ha
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