Grass and legume breeding matching the future needs of European grassland farming

OA Rognli, L Pecetti, MR Kovi… - Grass and Forage …, 2021 - Wiley Online Library
Plant breeding can be pivotal to produce new grassland varieties with better adaptation to
changes in seasonal pattern and increased variability of temperature, precipitation and …

Recent developments and potential of robotics in plant eco-phenotyping

L Yao, R Van De Zedde… - Emerging topics in life …, 2021 - portlandpress.com
Automated acquisition of plant eco-phenotypic information can serve as a decision-making
basis for precision agricultural management and can also provide detailed insights into plant …

Applying RGB-and thermal-based vegetation indices from UAVs for high-throughput field phenotyping of drought tolerance in forage grasses

T De Swaef, WH Maes, J Aper, J Baert, M Cougnon… - Remote Sensing, 2021 - mdpi.com
The persistence and productivity of forage grasses, important sources for feed production,
are threatened by climate change-induced drought. Breeding programs are in search of new …

Improving accuracy of herbage yield predictions in perennial ryegrass with uav-based structural and spectral data fusion and machine learning

J Pranga, I Borra-Serrano, J Aper, T De Swaef… - Remote Sensing, 2021 - mdpi.com
High-throughput field phenotyping using close remote sensing platforms and sensors for
non-destructive assessment of plant traits can support the objective evaluation of yield …

Moisture content estimation and senescence phenotyping of novel Miscanthus hybrids combining UAV‐based remote sensing and machine learning

G Impollonia, M Croci, E Martani, A Ferrarini… - GCB …, 2022 - Wiley Online Library
Miscanthus is a leading perennial biomass crop that can produce high yields on marginal
lands. Moisture content is a highly relevant biomass quality trait with multiple impacts on …

UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques

G Impollonia, M Croci, A Ferrarini, J Brook, E Martani… - Remote Sensing, 2022 - mdpi.com
Miscanthus holds a great potential in the frame of the bioeconomy, and yield prediction can
help improve Miscanthus' logistic supply chain. Breeding programs in several countries are …

Development and application of image-based high-throughput phenotyping methodology for salt tolerance in lentils

R Dissanayake, HV Kahrood, AM Dimech, DM Noy… - Agronomy, 2020 - mdpi.com
Soil salinity is a major abiotic stress in Australian lentil-producing areas. It is therefore
imperative to identify genetic variation for salt tolerance in order to develop lentil varieties …

[HTML][HTML] Perennial ryegrass biomass retrieval through multispectral UAV data

GT Alckmin, A Lucieer, R Rawnsley… - Computers and Electronics …, 2022 - Elsevier
Frequent biomass measurement is a key activity for optimal perennial ryegrass (Lolium
perenne) management in intensive forage-based dairy operations. Due to the necessary …

Hybrid machine learning methods combined with computer vision approaches to estimate biophysical parameters of pastures

VR Franco, MC Hott, RG Andrade, L Goliatt - Evolutionary Intelligence, 2023 - Springer
With population growth, the search for technologies that enable improvements in production
respecting the environment and people's health has become an essential point for society …

Design of an unmanned ground vehicle and LiDAR pipeline for the high-throughput phenotyping of biomass in perennial ryegrass

P Nguyen, PE Badenhorst, F Shi, GC Spangenberg… - Remote Sensing, 2020 - mdpi.com
Perennial ryegrass biomass yield is an important driver of profitability for Australian dairy
farmers, making it a primary goal for plant breeders. However, measuring and selecting …