Results 21 to 30 of about 2,965,344 (240)

DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks

open access: yesFrontiers in Plant Science, 2019
Crop yield is an essential measure for breeders, researchers, and farmers and is composed of and may be calculated by the number of ears per square meter, grains per ear, and thousand grain weight. Manual wheat ear counting, required in breeding programs
Pouria Sadeghi-Tehran   +4 more
doaj   +1 more source

Field‐based individual plant phenotyping of herbaceous species by unmanned aerial vehicle

open access: yesEcology and Evolution, 2020
Recent advances in Unmanned Aerial Vehicle (UAVs) and image processing have made high‐throughput field phenotyping possible at plot/canopy level in the mass grown experiment. Such techniques are now expected to be used for individual level phenotyping in
Wei Guo   +3 more
doaj   +1 more source

CHALLENGES AND RECOMMENDATIONS FOR 3D PLANT PHENOTYPING IN AGRICULTURE USING TERRESTRIAL LASERS SCANNERS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Active sensing with LiDAR, and terrestrial laser scanners (TLS) in particular, are increasingly being used in plant phenotyping for assessing structural or 3D geometrical plant traits. Although these technologies provide the unprecedented possibility for
T. Medic, J. Bömer, S. Paulus
doaj   +1 more source

Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping

open access: yesPlant Phenomics, 2023
The advancement of plant phenomics by using optical imaging-based phenotyping techniques has markedly improved breeding and crop management. However, there remains a challenge in increasing the spatial resolution and accuracy due to their noncontact ...
Cheng Zhang   +5 more
doaj   +1 more source

How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques

open access: yesPlant Methods, 2023
Computer vision technology is moving more and more towards a three-dimensional approach, and plant phenotyping is following this trend. However, despite its potential, the complexity of the analysis of 3D representations has been the main bottleneck ...
Negin Harandi   +4 more
doaj   +1 more source

A Low-Cost Sensorized Vehicle for In-Field Crop Phenotyping

open access: yesApplied Sciences, 2023
The development of high-throughput field phenotyping, which uses modern detection technologies and advanced data processing algorithms, could increase productivity and make in-field phenotypic evaluation more efficient by collecting large amounts of data
Francesca Antonucci   +7 more
doaj   +1 more source

Advanced high-throughput plant phenotyping techniques for genome-wide association studies: A review

open access: yesJournal of Advanced Research, 2022
Background: Linking phenotypes and genotypes to identify genetic architectures that regulate important traits is crucial for plant breeding and the development of plant genomics.
Qinlin Xiao   +3 more
doaj   +1 more source

Predicting Plant Growth from Time-Series Data Using Deep Learning

open access: yesRemote Sensing, 2021
Phenotyping involves the quantitative assessment of the anatomical, biochemical, and physiological plant traits. Natural plant growth cycles can be extremely slow, hindering the experimental processes of phenotyping.
Robail Yasrab   +3 more
doaj   +1 more source

Low-Cost Automated Vectors and Modular Environmental Sensors for Plant Phenotyping

open access: yesSensors, 2020
High-throughput plant phenotyping in controlled environments (growth chambers and glasshouses) is often delivered via large, expensive installations, leading to limited access and the increased relevance of “affordable phenotyping” solutions.
Stuart A. Bagley   +5 more
doaj   +1 more source

Interpreting phenotypic variation in plants

open access: yesTrends in Ecology & Evolution, 1994
Plant ecologists and evolutionary biologists frequently examine patterns of phenotypic variation across variable environments or genetic identities. Too often, we ignore the fact that most phenotypic traits change throughout growth and development of individual plants, and that rates of growth and development are highly variable.
J S, Coleman   +2 more
openaire   +2 more sources

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