AIMC Topic: Plant Diseases

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Monitoring of plant diseases caused by Fusarium commune and Rhizoctonia solani in bok choy using hyperspectral remote sensing and machine learning.

Pest management science Sep 18, 2024
BACKGROUND: Local vegetable production is susceptible to various fungal pathogens, the most common and lethal of which are Fusarium commune and Rhizoctonia solani. Early detection of these pathogens is challenging, and by the time visual symptoms app...
Plant Diseases Rhizoctonia Brassica rapa Fusarium Remote Sensing Technology Hyperspectral Imaging Neural Networks, Computer Machine Learning
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Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification.

Scientific reports Sep 14, 2024
Manual identification of tomato leaf diseases is a time-consuming and laborious process that may lead to inaccurate results without professional assistance. Therefore, an automated, early, and precise leaf disease recognition system is essential for ...
Bayes Theorem Solanum lycopersicum Plant Diseases Support Vector Machine Plant Leaves Neural Networks, Computer Algorithms Deep Learning Machine Learning
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Deep Learning-Based Barley Disease Quantification for Sustainable Crop Production.

Phytopathology Sep 13, 2024
Net blotch disease caused by is a major fungal disease that affects barley () plants and can result in significant crop losses. In this study, we developed a deep learning model to quantify net blotch disease symptoms on different days postinfection...
Crop Production Plant Leaves Neural Networks, Computer Crops, Agricultural Deep Learning Plant Diseases Hordeum Ascomycota
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Detection of Verticillium infection in cotton leaves using ATR-FTIR spectroscopy coupled with machine learning algorithms.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 12, 2024
Verticillium wilt (VW) is a soil-borne vascular disease that affects upland cotton and is caused by Verticillium dahliae Kleb. A rapid and user-friendly early diagnostic technique is essential for the preventing and controlling VW disease. In this st...
Verticillium Plant Leaves Plant Diseases Gossypium Support Vector Machine Spectroscopy, Fourier Transform Infrared Machine Learning Algorithms
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Monitoring the leaf damage by the rice leafroller with deep learning and ultra-light UAV.

Pest management science Sep 12, 2024
BACKGROUND: Rice leafroller is a serious threat to the production of rice. Monitoring the damage caused by rice leafroller is essential for effective pest management. Owing to limitations in collecting decent quality images and high-performing identi...
Plant Leaves Remote Sensing Technology Oryza Animals Deep Learning Unmanned Aerial Devices Plant Diseases Moths
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A Comparison of Three Automated Root-Knot Nematode Egg Counting Approaches Using Machine Learning, Image Analysis, and a Hybrid Model.

Plant disease Sep 9, 2024
spp. (root-knot nematodes [RKNs]) are a major threat to a wide range of agricultural crops worldwide. Breeding crops for RKN resistance is an effective management strategy, yet assaying large numbers of breeding lines requires laborious bioassays th...
Animals Image Processing, Computer-Assisted Plant Roots Machine Learning Ipomoea batatas Nicotiana Tylenchoidea Plant Diseases Parasite Egg Count
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An intelligent deep augmented model for detection of banana leaves diseases.

Microscopy research and technique Aug 23, 2024
One of the most popular fruits worldwide is the banana. Accurate identification and categorization of banana diseases is essential for maintaining global fruits security and stakeholder profitability. Four different types of banana leaves exist Healt...
Image Processing, Computer-Assisted Deep Learning Plant Diseases Plant Leaves Musa Microscopy
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Sugarcane disease recognition through visible and near-infrared spectroscopy using deep learning assisted continuous wavelet transform-based spectrogram.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Aug 22, 2024
Utilizing visible and near-infrared (Vis-NIR) spectroscopy in conjunction with chemometrics methods has been widespread for identifying plant diseases. However, a key obstacle involves the extraction of relevant spectral characteristics. This study a...
Deep Learning Plant Diseases Plant Leaves Wavelet Analysis Discriminant Analysis Least-Squares Analysis Saccharum Spectroscopy, Near-Infrared
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Dense Convolutional Neural Network-Based Deep Learning Pipeline for Pre-Identification of Circular Leaf Spot Disease of Leaves Using Optical Coherence Tomography.

Sensors (Basel, Switzerland) Aug 21, 2024
Circular leaf spot (CLS) disease poses a significant threat to persimmon cultivation, leading to substantial harvest reductions. Existing visual and destructive inspection methods suffer from subjectivity, limited accuracy, and considerable time cons...
Tomography, Optical Coherence Diospyros Neural Networks, Computer Image Processing, Computer-Assisted Plant Diseases Deep Learning Plant Leaves
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Sága, a Deep Learning Spectral Analysis Tool for Fungal Detection in Grains-A Case Study to Detect Fusarium in Winter Wheat.

Toxins Aug 13, 2024
Fusarium head blight (FHB) is a plant disease caused by various species of the fungus. One of the major concerns associated with spp. is their ability to produce mycotoxins. Mycotoxin contamination in small grain cereals is a risk to human and anim...
Fungicides, Industrial Mycotoxins Fusarium Triticum Edible Grain Plant Diseases Deep Learning Food Contamination
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