AIMC Topic: Germination
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Early detection of germinated wheat grains using terahertz image and chemometrics.
Scientific reports
Feb 19, 2016
In this paper, we propose a feasible tool that uses a terahertz (THz) imaging system for identifying wheat grains at different stages of germination. The THz spectra of the main changed components of wheat grains, maltose and starch, which were obtai...
Hyperspectral imaging combined with DBO-SVM for the germination prediction of thermally damaged seeds.
Analytical methods : advancing methods and applications
May 29, 2025
Healthy development of the maize seed industry plays a key role in the effective supply of agricultural products and ensures national food security. Thermal damage to seeds significantly affects crop yield, seed vitality and nutritional value, making...
Detection of sugar beet seed coating defects via deep learning.
Scientific reports
May 13, 2025
The global seed coating market is expected to experience substantial growth, increasing from a 2023 valuation of USD 2.0 billion to an estimated value of USD 3.1 billion by 2028. This growth surge is primarily due to the consistent introduction of in...
Deep learning-based high-throughput detection of in vitro germination to assess pollen viability from microscopic images.
Journal of experimental botany
Nov 21, 2023
In vitro pollen germination is considered the most efficient method to assess pollen viability. The pollen germination frequency and pollen tube length, which are key indicators of pollen viability, should be accurately measured during in vitro cultu...
Influence of Incubation Conditions on the Nanoparticles Toxicity Based on Seed Germination and Bacterial Bioluminescence.
Journal of nanoscience and nanotechnology
Apr 1, 2017
The effects of the modified incubation conditions of a conventional bioassay on the toxicity of partially soluble nanoparticles (NPs) were evaluated based on the activity of seed germination and bacterial bioluminescence. Different levels of toxicity...
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