AIMC Topic: Seeds

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Rapid identification of coffee species and origin using affordable multi-channel spectral sensor combined with machine learning.

Food research international (Ottawa, Ont.) Jun 1, 2025
The rapid identification of coffee species and origin is critical for ensuring quality control and authenticity in the coffee industry. This study explores the use of an affordable multi-channel spectral sensor, AS7265X (410-940 nm), combined with ma...
Coffee Coffea Quality Control Spectrum Analysis Discriminant Analysis Indonesia Neural Networks, Computer Machine Learning Seeds Principal Component Analysis Support Vector Machine
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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...
Support Vector Machine Seeds Germination Algorithms Hot Temperature Zea mays Hyperspectral Imaging
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Corn Seed Freezing Damage Identification of Different Sides Based on Hyperspectral Imaging and SPA-2DCOS Fusion Algorithm.

Molecules (Basel, Switzerland) May 15, 2025
In order to improve the utilization efficiency of corn seeds and meet the demand of single-seed seeding technology in agriculture, this study was conducted to explore the effect of freezing damage detection on the endosperm and embryo sides of single...
Algorithms Image Processing, Computer-Assisted Support Vector Machine Hyperspectral Imaging Freezing Endosperm Seeds Zea mays
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Analysis of Multi-Target Synergistic Mechanism of Coix Seed Therapy for Herpes Zoster Based on Machine Learning and Network Pharmacology.

Genes May 14, 2025
OBJECTIVE: To explore the efficacy and mechanism of Coix seeds in treating herpes zoster (HZ) using an integrated computational approach.
Herpes Zoster Network Pharmacology Molecular Docking Simulation Antiviral Agents Seeds Drugs, Chinese Herbal Protein Interaction Maps Humans Machine Learning
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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...
Beta vulgaris Algorithms Seeds Germination Deep Learning
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MRI-Seed-Wizard: combining deep learning algorithms with magnetic resonance imaging enables advanced seed phenotyping.

Journal of experimental botany Jan 10, 2025
Evaluation of relevant seed traits is an essential part of most plant breeding and biotechnology programmes. There is a need for non-destructive, three-dimensional assessment of the morphometry, composition, and internal features of seeds. Here, we i...
Algorithms Phenotype Seeds Triticum Hordeum Deep Learning Magnetic Resonance Imaging
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Multi-class rice seed recognition based on deep space and channel residual network combined with double attention mechanism.

PloS one Jan 1, 2025
Accurately recognizing rice seed varieties poses significant challenges due to their diverse morphological characteristics and complex classification requirements. Traditional image recognition methods often struggle with both accuracy and efficiency...
Algorithms Image Processing, Computer-Assisted Seeds Neural Networks, Computer Oryza
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Self-burying robot morphs wood to sow seeds.

Nature Feb 1, 2023
Seeds Robotics Wood Agriculture
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Fennel fortified diet: New perspective with regard to fertility and sex hormones.

Pakistan journal of pharmaceutical sciences Nov 1, 2020
The objective of this study was to evaluate the effect of Foeniculum vulgare (FV) on fertility of mice and on serum sex hormone values of rats and rabbits. We used powdered form of Foeniculum vulgare seed and added it to food of mice, rats and rabbit...
Rabbits Fertility Foeniculum Dietary Supplements Follicle Stimulating Hormone Gonadal Steroid Hormones Mice Animals Testosterone Male Rats, Wistar Pregnancy Seeds Female Progesterone
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Discrimination of Maize Haploid Seeds from Hybrid Seeds Using Vis Spectroscopy and Support Vector Machine Method.

Guang pu xue yu guang pu fen xi = Guang pu Nov 1, 2015
Doubled haploid (DH) lines are routinely applied in the hybrid maize breeding programs of many institutes and companies for their advantages of complete homozygosity and short breeding cycle length. A key issue in this approach is an efficient screen...
Breeding Haploidy Zea mays Spectrum Analysis Seeds Principal Component Analysis Color Support Vector Machine
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