ReviewFrontiers in plant science2021
Applications of UAS in Crop Biomass Monitoring: A Review.
Review in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Genetic Variation for Autumn-Winter Forage Yield in a Segregating Tetraploid FPlants (Basel, Switzerland) · 2026Article
- UAV-based mangrove biomass estimation and carbon potential valuation in North Sumatra, Indonesia.Carbon balance and management · 2026Article
- RGB Indices Can Be Used to Estimate NDVI, PRI, and Fv/Fm in Wheat and Pea Plants Under Soil Drought and Salinization.Plants (Basel, Switzerland) · 2025Article
- Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning.Sensors (Basel, Switzerland) · 2023Article
- Field Plant Monitoring from Macro to Micro Scale: Feasibility and Validation of Combined Field Monitoring Approaches from Remote to in Vivo to Cope with Drought Stress in Tomato.Plants (Basel, Switzerland) · 2023Article
- Estimating yield-contributing physiological parameters of cotton using UAV-based imagery.Frontiers in plant science · 2023Article
- Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images.Plant phenomics (Washington, D.C.) · 2023Article
- Article
- Sugarcane Nitrogen Concentration and Irrigation Level Prediction Based on UAV Multispectral Imagery.Sensors (Basel, Switzerland) · 2022Article
- Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomass is an important indicator for evaluating crops. The rapid, accurate and nondestructive monitoring of biomass is the key to smart agriculture and precision agriculture. Traditional detection methods are based on destructive measurements. Although satellite remote sensing, manned airborne equipment, and vehicle-mounted equipment can nondestructively collect measurements, they are limited by low accuracy, poor flexibility, and high cost. As nondestructive remote sensing equipment with high precision, high flexibility, and low-cost, unmanned aerial systems (UAS) have been widely used to monitor crop biomass. In this review, UAS platforms and sensors, biomass indices, and data analysis methods are presented. The improvements of UAS in monitoring crop biomass in recent years are introduced, and multisensor fusion, multi-index fusion, the consideration of features not directly related to monitoring biomass, the adoption of advanced algorithms and the use of low-cost sensors are reviewed to highlight the potential for monitoring crop biomass with UAS. Considering the progress made to solve this type of problem, we also suggest some directions for future research. Furthermore, it is expected that the challenge of UAS promotion will be overcome in the future, which is conducive to the realization of smart agriculture and precision agriculture.
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