AIMC Topic: Capsicum

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Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI.

Scientific reports Apr 27, 2025
Intelligent knowledge about Capsicum annuum L. germplasm could lead to effective management of germplasm. Here, 29 accessions of sweet pepper were investigated in two separate randomized complete block design with three replications in the field cond...
Neural Networks, Computer Deep Learning Fruit Capsicum Plant Breeding Genotype Models, Genetic
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Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach.

Scientific reports Jan 28, 2025
In agriculture, promptly and accurately identifying leaf diseases is crucial for sustainable crop production. To address this requirement, this research introduces a hybrid deep learning model that combines the visual geometric group version 19 (VGG1...
Capsicum Vitis Plant Diseases Deep Learning Image Processing, Computer-Assisted Plant Leaves Solanum lycopersicum
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CRASA: Chili Pepper Disease Diagnosis via Image Reconstruction Using Background Removal and Generative Adversarial Serial Autoencoder.

Sensors (Basel, Switzerland) Oct 27, 2024
With the recent development of smart farms, researchers are very interested in such fields. In particular, the field of disease diagnosis is the most important factor. Disease diagnosis belongs to the field of anomaly detection and aims to distinguis...
Neural Networks, Computer Algorithms Capsicum Image Processing, Computer-Assisted Plant Diseases
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Fusion of visible and fluorescence imaging through deep neural network for color value prediction of pelletized red peppers.

Journal of food science Oct 11, 2024
A non-destructive method for determining the color value of pelletized red peppers is crucial for pepper processing factories. This study aimed to investigate the potentiality of visible and fluorescence images for the determination of color value of...
Neural Networks, Computer Fluorescence Capsicum Fruit Optical Imaging Image Processing, Computer-Assisted Color
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Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers.

BMC genomic data Dec 18, 2023
BACKGROUND: Genomewide prediction estimates the genomic breeding values of selection candidates which can be utilized for population improvement and cultivar development. Ridge regression and deep learning-based selection models were implemented for ...
Plant Breeding Quantitative Trait Loci Multifactorial Inheritance Selection, Genetic Capsicum Deep Learning Bayes Theorem
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Geographical discrimination of Asian red pepper powders using H NMR spectroscopy and deep learning-based convolution neural networks.

Food chemistry Dec 6, 2023
This study investigated an innovative approach to discriminate the geographical origins of Asian red pepper powders by analyzing one-dimensional H NMR spectra through a deep learning-based convolution neural network (CNN). H NMR spectra were collecte...
Magnetic Resonance Spectroscopy Capsicum Neural Networks, Computer Bayes Theorem Powders Deep Learning
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Integrated analysis of machine learning and deep learning in chili pest and disease identification.

Journal of the science of food and agriculture Dec 24, 2020
BACKGROUND: Chili is one of the most important and high-value vegetable crops worldwide. However, pest and disease infections are among the main limiting factors in chili cultivation. These diseases cannot be eradicated but can be handled and monitor...
Insecta Plant Diseases Deep Learning Machine Learning Support Vector Machine Plant Leaves Capsicum Animals
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Rapid determination of capsaicinoids by colorimetric method.

Journal of food and drug analysis Dec 8, 2016
Capsaicinoids, the pungent component of chili peppers, are generally analyzed by precise analytical techniques, such as gas chromatography and high-performance liquid chromatography (HPLC), but these are not practical for the mass analyses of samples...
Capsaicin Colorimetry Fruit Capsicum Plant Extracts Vegetables
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DeepFruits: A Fruit Detection System Using Deep Neural Networks.

Sensors (Basel, Switzerland) Aug 3, 2016
This paper presents a novel approach to fruit detection using deep convolutional neural networks. The aim is to build an accurate, fast and reliable fruit detection system, which is a vital element of an autonomous agricultural robotic platform; it i...
Image Processing, Computer-Assisted Robotics Pattern Recognition, Automated Capsicum Fruit Neural Networks, Computer Algorithms Humans
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Identification of novel Xanthomonas euvesicatoria type III effector proteins by a machine-learning approach.

Molecular plant pathology Aug 15, 2015
The Gram-negative bacterium Xanthomonas euvesicatoria (Xcv) is the causal agent of bacterial spot disease in pepper and tomato. Xcv pathogenicity depends on a type III secretion (T3S) system that delivers effector proteins into host cells to suppress...
Plant Cells Plant Diseases Nicotiana Xanthomonas Phylogeny Protein Transport Bacterial Secretion Systems Capsicum Bacterial Proteins Plant Leaves Base Composition Machine Learning Mutation
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