Results 41 to 50 of about 61,933 (277)

Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review

open access: yesPlant Phenomics, 2023
Heavy metal pollution is becoming a prominent stress on plants. Plants contaminated with heavy metals undergo changes in external morphology and internal structure, and heavy metals can accumulate through the food chain, threatening human health ...
Yuanning Zhai   +4 more
doaj   +1 more source

PECTOPLATE: the simultaneous phenotyping of pectin methylesterases, pectinases and oligogalacturonides in plants during biotic stresses [PDF]

open access: yes, 2015
Degradation of pectin, a major component of plant cell wall, is important for fungal necrotrophs to achieve a successful infection. The activities of pectin methylesterases (PMEs) from both plants and pathogens and the degree and pattern of pectin ...
LIONETTI, VINCENZO
core   +2 more sources

A Novel Root-Knot Nematode Resistance QTL on Chromosome Vu01 in Cowpea. [PDF]

open access: yes, 2019
The root-knot nematode (RKN) species Meloidogyne incognita and M. javanica cause substantial root system damage and suppress yield of susceptible cowpea cultivars.
Guo, Yi-Ning   +7 more
core   +2 more sources

Data sharing in plant phenotyping research: Perceptions, practices, enablers, barriers and implications for science policy on data management

open access: yesPlant Phenome Journal, 2022
The application of new technologies in scientific research, particularly automated sensing of plant phenotypic performance, has resulted in a deluge of data and raised the question of how these data can be efficiently managed and shared.
Albert I. Ugochukwu   +1 more
doaj   +1 more source

Leaf Counting with Deep Convolutional and Deconvolutional Networks

open access: yes, 2017
In this paper, we investigate the problem of counting rosette leaves from an RGB image, an important task in plant phenotyping. We propose a data-driven approach for this task generalized over different plant species and imaging setups.
Aich, Shubhra, Stavness, Ian
core   +1 more source

Identification of high yielding inbred lines resistant to late wilt disease caused by Harpophora maydis in maize

open access: yesElectronic Journal of Plant Breeding, 2021
Diseases are the major constraints in realizing the yield potential of maize. Late wilt disease (LWD) caused by Harpophora maydisis one of the recently reported and widely spreading diseases across the world.
K . Aruna*1, E. Gangappa1, S. Ramesh1 and D. S. Swamy2
doaj   +1 more source

An overview of image-based phenotyping as an adaptive 4.0 technology for studying plant abiotic stress: A bibliometric and literature review

open access: yesHeliyon, 2023
Improving the tolerance of crop species to abiotic stresses that limit plant growth and productivity is essential for mitigating the emerging problems of global warming.
Muhammad Fuad Anshori   +8 more
doaj   +1 more source

TasselNet: Counting maize tassels in the wild via local counts regression network

open access: yes, 2017
Accurately counting maize tassels is important for monitoring the growth status of maize plants. This tedious task, however, is still mainly done by manual efforts.
Cao, Zhiguo   +4 more
core   +2 more sources

Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping

open access: yesSensors, 2018
Phenotyping is the task of measuring plant attributes for analyzing the current state of the plant. In agriculture, phenotyping can be used to make decisions concerning the management of crops, such as the watering policy, or whether to spray for a ...
Adar Vit, Guy Shani
doaj   +1 more source

Potential Phenotyping Methodologies to Assess Inter- and Intravarietal Variability and to Select Grapevine Genotypes Tolerant to Abiotic Stress

open access: yesFrontiers in Plant Science, 2021
Plant phenotyping is an emerging science that combines multiple methodologies and protocols to measure plant traits (e.g., growth, morphology, architecture, function, and composition) at multiple scales of organization.
Luísa C. Carvalho   +3 more
doaj   +1 more source

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