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Extraction of phenotypic traits using unmanned aerial vehicle for field experiments in the agronomy and crop breeding

With advances in camera and robotic technologies, unmanned aerial vehicles (UAV) provide the means to capture images at sufficiently large scale to extract crop phenotypic traits. The current challenges are to efficiently manage the meta information …

Estimation of plot variability using unmanned aerial vehicle (UAV) for the wheat breeding trials

Gaps in breeders’ plots (spatial variability) are caused by multiple biotic and abiotic stresses (i.e. poor seed gemination, frost, heat, drought, and/or disease). The gaps are either ignored or visually scored by human inspection. However, this …

Efficient characterization of orchard tree using high resolution images from unmanned aerial vehicle An effective method for crown characteristics analysis in orchard using UAV images

[Background] In orchard, phenotyping the crown related characteristics (e.g. crown diameter and area) is important for monitoring the dynamic of crown growth during growing season and optimizing farming management (e.g. precision spraying and machine …

Estimation of aboveground biomass and leaf area for a wheat trial index using unmanned aerial vehicle

Aboveground biomass (AGB) and leaf area index (LAI) are very important in plant breeding and precision agriculture, as major indicators of crop growth status and grain yield. However, the traditional destructive sampling method is impractical and …

PhenoCopter: An cloud based solution for image processing captured by unmanned aerial vehicle in high throughput phenotyping

As the advances of technologies, unmanned aerial vehicles (UAV) are more convenient to capture images in large scale to extract crop phenotypes. However, the key challenge is how to efficiently manage all meta information, process huge amount of …

McGET: A rapid image-based method to determine the morphological characteristics of gravels on the Gobi desert surface

The relationship between morphological characteristics (e.g. gravel size, coverage, angularity and orientation) and local geomorphic features (e.g. slope gradient and aspect) of desert has been used to explore the evolution process of Gobi desert. …

PhenoCopter: An cloud based platform to manage, process and visualize images captured by unmanned aerial vehicle for high throughput phenotyping

As the advances of technologies, unmanned aerial vehicles (UAV) are more convenient to capture images in large scale to extract crop phenotypes. However, the key challenge is how to efficiently manage all meta information, process huge amount of …

The big impacts of image resolution on the estimation of ground coverage for wheat in UAV survey

Ground coverage (GC) is a simple and important trait to monitor crop growth and development, which can be easily captured by visual camera attached on the ground and aerial based platform. However, the accuracy of GC is determined by pixel size …

Estimation of canopy height using an unmanned aerial vehicle in the field during wheat growth season

Canopy height is a simple trait to represent status of plant growth and development and potentially biomass production, as well as having an influence on lodging susceptibility. Measurement is labour-intensive and time consuming, especially in the …

Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle

While new technologies can capture high-resolution normalized difference vegetation index (NDVI), a surrogate for biomass and leaf greenness, it is a challenge to efficiently apply this technology in a large breeding program. Here we validate a …

EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions

Understanding interactions of genotype, environment, and management under field conditions is vital for selecting new cultivars and farming systems. Image analysis is considered a robust technique in high-throughput phenotyping with non-destructive …

Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV

Ground cover is an important physiological trait affecting crop radiation capture, water-use efficiency and grain yield. It is challenging to efficiently measure ground cover with reasonable precision for large numbers of plots, especially in tall …

Dynamic monitoring of canopy structure by time serial photography of early stage growth of wheat

Early vigour is an important physiological trait to improve establishment, water-use efficiency and grain yield for wheat. Phenotyping large numbers of genotypes is challenging due to the fast growth and development of wheat seedlings. Several …

The gravel coverage and size of Gobi desert analyzed by a rapid image-based method

The Gobi desert is one of the most widespread landscapes in northwest China. The coverage and morphological characteristics of gravels on the Gobi desert are often used to understand the evolution process of Gobi desert. However, some traditional …

Pheno-Copter: a low-altitude, autonomous remote-sensing robotic helicopter for high-throughput field-based phenotyping

Plant breeding trials are extensive (100s to 1000s of plots) and are difficult and expensive to monitor by conventional means, especially where measurements are time-sensitive. For example, in a land-based measure of canopy temperature (hand-held …