An overview of using unmanned aerial system mounted sensors to measure plant above-ground biomass

A Bazrafkan, N Delavarpour, PG Oduor, N Bandillo… - Remote Sensing, 2023 - mdpi.com
Conventional measurement methods for above-ground biomass (AGB) are time-consuming,
inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a …

OMICS in fodder crops: applications, challenges, and prospects

P Kumar, J Singh, G Kaur, PM Adunola… - Current Issues in …, 2022 - mdpi.com
Biomass yield and quality are the primary targets in forage crop improvement programs
worldwide. Low-quality fodder reduces the quality of dairy products and affects cattle's …

Eco-hydrodynamic characterization of vegetated flows derived by UAV-based imagery

GFC Lama, M Crimaldi, A De Vivo… - … on Metrology for …, 2021 - ieeexplore.ieee.org
The quantitative assessment of the role of riverine and riparian vegetation biomass on the
effects of plants–water flow interaction in vegetated streams constitutes the main purpose of …

AirMeasurer: open‐source software to quantify static and dynamic traits derived from multiseason aerial phenotyping to empower genetic mapping studies in rice

G Sun, H Lu, Y Zhao, J Zhou, R Jackson… - New …, 2022 - Wiley Online Library
Low‐altitude aerial imaging, an approach that can collect large‐scale plant imagery, has
grown in popularity recently. Amongst many phenotyping approaches, unmanned aerial …

Integrating drone technology into an innovative agrometeorological methodology for the precise and real-time estimation of crop water requirements

S Alexandris, E Psomiadis, N Proutsos… - Hydrology, 2021 - mdpi.com
Precision agriculture has been at the cutting edge of research during the recent decade,
aiming to reduce water consumption and ensure sustainability in agriculture. The proposed …

High-precision plant height measurement by drone with RTK-GNSS and single camera for real-time processing

Y Matsuura, Z Heming, K Nakao, C Qiong… - Scientific Reports, 2023 - nature.com
Conventional crop height measurements performed using aerial drone images require 3D
reconstruction results of several aerial images obtained through structure from motion …

Phenotyping Alfalfa (Medicago sativa L.) Root Structure Architecture via Integrating Confident Machine Learning with ResNet-18

BJ Weihs, Z Tang, Z Tian, DJ Heuschele… - Plant …, 2024 - spj.science.org
Background: Root system architecture (RSA) is of growing interest in implementing plant
improvements with belowground root traits. Modern computing technology applied to …

Utilizing spectral, structural and textural features for estimating oat above-ground biomass using UAV-based multispectral data and machine learning

R Dhakal, M Maimaitijiang, J Chang, M Caffe - Sensors, 2023 - mdpi.com
Accurate and timely monitoring of biomass in breeding nurseries is essential for evaluating
plant performance and selecting superior genotypes. Traditional methods for phenotyping …

Phenomics-Assisted Selection for Herbage Accumulation in Alfalfa (Medicago sativa L.)

A Biswas, MHML Andrade, JP Acharya… - Frontiers in plant …, 2021 - frontiersin.org
The application of remote sensing in plant breeding is becoming a routine method for fast
and non-destructive high-throughput phenotyping (HTP) using unmanned aerial vehicles …

Pasture Biomass Estimation Using Ultra-High-Resolution RGB UAVs Images and Deep Learning

M Vahidi, S Shafian, S Thomas, R Maguire - Remote Sensing, 2023 - mdpi.com
The continuous assessment of grassland biomass during the growth season plays a vital
role in making informed, location-specific management choices. The implementation of …