AIMC Topic: Germination

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Semi-automated high content analysis of pollen performance using tubetracker.

Plant reproduction Jun 16, 2025
TubeTracker provides a method to partially automate analysis of pollen tube growth using live imaging. Pollen function is critical for successful plant reproduction and crop productivity and it is important to develop accessible methods to quantitati...
Software Solanum lycopersicum Pollen Pollen Tube Image Processing, Computer-Assisted Germination
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Modelling of pome fruit pollen performance using machine learning.

Scientific reports Feb 26, 2025
Agriculture, particularly fruit production, is considered a crucial industry with a significant economic impact in many countries. Extreme fluctuations in air temperature can negatively affect the flowering periods of fruit species. Therefore, it is ...
Pollen Pollen Tube Fruit Citrus Neural Networks, Computer Temperature Germination Machine Learning
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Machine learning-based prediction of compost maturity and identification of key parameters during manure composting.

Bioresource technology Dec 26, 2024
Evaluating compost maturity, e.g. via manual seed germination index (GI) measurement, is both time-consuming and costly during composting. This study employed six machine learning methods, including random forest (RF), extra tree (ET), eXtreme gradie...
Machine Learning Soil Seeds Neural Networks, Computer Composting Manure Electric Conductivity Germination Nitrogen
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Allelopathic effects of six alfalfa varieties at three stubbles on the germination, seedling and root growth of green foxtail and barnyardgrass.

PloS one Dec 23, 2024
Alfalfa (Medicago sativa) is known to release allelopathic substances to affect the germination and growth of other plants, which have the potential to be applied in controlling weeds. Green foxtail (Setaria viridis) and barnyardgrass (Echinochloa cr...
Plant Roots Germination Setaria Plant Echinochloa Allelopathy Seedlings Plant Extracts Plant Weeds Medicago sativa
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Predicting maturity and identifying key factors in organic waste composting using machine learning models.

Bioresource technology Apr 6, 2024
The measurement of germination index (GI) in composting is a time-consuming and laborious process. This study employed four machine learning (ML) models, namely Random Forest (RF), Artificial Neural Network (ANN), Support Vector Regression (SVR), and...
Organic Chemicals Germination Hydrogen-Ion Concentration Temperature Soil Composting Neural Networks, Computer Machine Learning
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Deep-learning-based automatic evaluation of rice seed germination rate.

Journal of the science of food and agriculture Nov 24, 2022
BACKGROUND: Rice is an important food crop plant in the world and is also a model plant for genetics and breeding research. The germination rate is an important indicator that measures the performance of rice seeds. Currently, solutions involving ima...
Germination Oryza Plant Breeding Deep Learning Seeds Humans
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Micronutrient seed priming: new insights in ameliorating heavy metal stress.

Environmental science and pollution research international Jul 4, 2022
Plants need to survive with changing environmental conditions, be it different accessibility to water or nutrients, or attack by insects or pathogens. Few of these changes, especially heavy metal stress, can become more stressful and needed strong co...
Plants Micronutrients Seeds Germination Metals, Heavy Metalloids
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Robust seed germination prediction using deep learning and RGB image data.

Scientific reports Nov 11, 2021
Achieving seed germination quality standards poses a real challenge to seed companies as they are compelled to abide by strict certification rules, while having only partial seed separation solutions at their disposal. This discrepancy results with w...
Crops, Agricultural Deep Learning Seeds Germination Models, Biological Vegetables
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Hyperspectral prediction of sugarbeet seed germination based on gauss kernel SVM.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 14, 2021
How to quickly and accurately select sugarbeet seeds with reliable germination is very important to sugarbeet planting. In this study, the hyperspectral images of 3072 sugarbeet seeds of the same variety were collected, and were successively processe...
Support Vector Machine Algorithms Seeds Image Processing, Computer-Assisted Germination
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Interactive machine learning for soybean seed and seedling quality classification.

Scientific reports Jul 9, 2020
New computer vision solutions combined with artificial intelligence algorithms can help recognize patterns in biological images, reducing subjectivity and optimizing the analysis process. The aim of this study was to propose an approach based on inte...
Artificial Intelligence Image Processing, Computer-Assisted Principal Component Analysis False Positive Reactions Machine Learning Seeds Glycine max Software Algorithms Seedlings Germination Reproducibility of Results
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