AIMC Topic: Basidiomycota

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Prediction of barberry witches' broom rust disease using artificial intelligence models: a case study in South Khorasan, Iran.

Scientific reports Apr 16, 2025
The South Khorasan Province in Iran is the main producer of seedless barberry, accounting for 98% of the country's production. This has led to significant economic growth in the region. However, the cultivation of barberry is threatened by the rust f...
Neural Networks, Computer Artificial Intelligence Plant Diseases Basidiomycota Berberis Puccinia Deep Learning Plant Leaves Iran
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Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms.

Sensors (Basel, Switzerland) Dec 16, 2024
Global warming and extreme climate conditions caused by unsuitable temperature and humidity lead to coffee leaf rust () diseases in coffee plantations. Coffee leaf rust is a severe problem that reduces productivity. Currently, pesticide spraying is c...
Coffee Basidiomycota Indonesia Coffea Plant Diseases Deep Learning Neural Networks, Computer Plant Leaves Algorithms
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Integrating deep learning for visual question answering in Agricultural Disease Diagnostics: Case Study of Wheat Rust.

Scientific reports Nov 15, 2024
This paper presents a novel approach to agricultural disease diagnostics through the integration of Deep Learning (DL) techniques with Visual Question Answering (VQA) systems, specifically targeting the detection of wheat rust. Wheat rust is a pervas...
Triticum Image Processing, Computer-Assisted Plant Diseases Agriculture Basidiomycota Plant Leaves Deep Learning
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Machine learning and deep learning based on the small FT-MIR dataset for fine-grained sampling site recognition of boletus tomentipes.

Food research international (Ottawa, Ont.) Mar 15, 2023
This study proposed the necessity of identifying the sampling sites for Boletus tomentipes (B.tomentipes) in combination with cadmium content and environmental factors. Based on fourier transform mid-infrared spectroscopy (FT-MIR) preprocessing by 1s...
Machine Learning Algorithms Deep Learning Support Vector Machine Spectroscopy, Fourier Transform Infrared Basidiomycota
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A Deep-Learning-Based Approach for Wheat Yellow Rust Disease Recognition from Unmanned Aerial Vehicle Images.

Sensors (Basel, Switzerland) Sep 30, 2021
Yellow rust is a disease with a wide range that causes great damage to wheat. The traditional method of manually identifying wheat yellow rust is very inefficient. To improve this situation, this study proposed a deep-learning-based method for identi...
Deep Learning Support Vector Machine Triticum Plant Diseases Basidiomycota
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Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance.

Scientific reports Nov 18, 2020
Sugarcane is an economically important crop, but its genomic complexity has hindered advances in molecular approaches for genetic breeding. New cultivars are released based on the identification of interesting traits, and for sugarcane, brown rust re...
Chromosome Mapping Genome, Plant Quantitative Trait Loci Genes, Plant Phenotype Genomics Genotype Basidiomycota Disease Resistance Saccharum Plant Diseases Machine Learning
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Spectral Identification of Disease in Weeds Using Multilayer Perceptron with Automatic Relevance Determination.

Sensors (Basel, Switzerland) Aug 23, 2018
, a smut fungus, is studied as an agent for the biological control of (milk thistle) weed. Confirmation of the systemic infection is essential in order to assess the effectiveness of the biological control application and assist decision-making. Non...
Algorithms Biological Control Agents Plant Weeds Silybum marianum Plant Diseases Neural Networks, Computer Spectrum Analysis Basidiomycota
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Hericium erinaceus Inhibits TNF-α-Induced Angiogenesis and ROS Generation through Suppression of MMP-9/NF-κB Signaling and Activation of Nrf2-Mediated Antioxidant Genes in Human EA.hy926 Endothelial Cells.

Oxidative medicine and cellular longevity Dec 28, 2015
Hericium erinaceus (HE) is an edible mushroom that has been shown to exhibit anticancer and anti-inflammatory activities. We investigated the antiangiogenic and antioxidant potentials of ethanol extracts of HE in human endothelial (EA.hy926) cells up...
NF-E2-Related Factor 2 Angiogenesis Inducing Agents Glutathione Basidiomycota Endothelial Cells Reactive Oxygen Species Neovascularization, Pathologic Matrix Metalloproteinase 9 Inflammation NF-kappa B Heme Oxygenase-1 Humans Intercellular Adhesion Molecule-1 Anti-Inflammatory Agents Signal Transduction Tumor Necrosis Factor-alpha Angiogenesis Inhibitors Antioxidants
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Neuroprotective effects of the Phellinus linteus ethyl acetate extract against H2O2-induced apoptotic cell death of SK-N-MC cells.

Nutrition research (New York, N.Y.) Nov 11, 2015
Numerous studies have suggested that neuronal cells are protected against oxidative stress-induced cell damage by antioxidants, such as polyphenolic compounds. Phellinus linteus (PL) has traditionally been used to treat various symptoms in East Asian...
Neurons Humans Solvents Nerve Tissue Proteins Ethnopharmacology Oxidative Stress MAP Kinase Signaling System Gene Expression Regulation, Enzymologic Acetates Brain Medicine, Korean Traditional Antioxidants Oxidoreductases Polysaccharides Basidiomycota Republic of Korea Phellinus Plant Extracts Apoptosis Cell Line, Tumor Fruiting Bodies, Fungal Neuroprotective Agents Biological Products Polyphenols
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HS-GC-IMS couples with convolutional neural network for Burkholderia gladioli pv. Cocovenenans detection in Auricularia Auricula.

Food chemistry Sep 15, 2025
The shortage in early detection methods for the pathogen Burkholderia gladioli pv. cocovenenans (BGC) and its toxin bongkrekic acid rises the risk for food poisoning. Combining Headspace-Gas Chromatography-Ion Mobility Spectrometry (HS-GC-IMS) with c...
Neural Networks, Computer Limit of Detection Burkholderia gladioli Convolutional Neural Networks Gas Chromatography-Mass Spectrometry Food Contamination Basidiomycota
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