Detection Method for Tomato Leaf Mildew Based on Hyperspectral Fusion Terahertz Technology

Article Computer Science, Information Systems

Multi-source information fusion to identify water supply pipe leakage based on SVM and VMD

Zhoufeng Wang et al.

Summary: This study proposed a method for leakage detection based on VMD and SVM with multi-source information fusion. By selecting and fusing eigenvectors, the method effectively recognized water pipe leaks and other operating conditions with a significantly improved accuracy rate compared to traditional methods.

INFORMATION PROCESSING & MANAGEMENT (2022)

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Article Microbiology

A Rapid Detection Method for Fungal Spores from Greenhouse Crops Based on CMOS Image Sensors and Diffraction Fingerprint Feature Processing

Yafei Wang et al.

Summary: This study proposes a rapid detection method for fungal spores from greenhouse crops based on CMOS image sensors and diffraction fingerprint feature processing. The method utilizes logistic regression, K nearest neighbor, random forest, and support vector machine classification models to classify the spores. The results show that the SVM model has the best overall classification performance, with an average accuracy rate of 92.72%.

JOURNAL OF FUNGI (2022)

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Article Plant Sciences

Cucumber powdery mildew detection method based on hyperspectra-terahertz

Xiaodong Zhang et al.

Summary: This study explores the use of information technology in detecting crop diseases, and proposes a method based on hyperspectral-terahertz technology for detecting cucumber powdery mildew. The research focuses on the effective establishment of hyperspectral data, spectral preprocessing, feature wavelength selection, and discriminant model establishment. Additionally, the study also investigates the preprocessing of terahertz data, the screening of terahertz effective spectrum, and the establishment of a sparse representation classification model. The findings demonstrate that the detection of cucumber powdery mildew can be achieved using hyperspectral and terahertz technology.

FRONTIERS IN PLANT SCIENCE (2022)

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Article Food Science & Technology

Detection of fungal infections in chestnuts: a terahertz imaging-based approach

F. Di Girolamo et al.

Summary: This study used terahertz radiation to evaluate the presence of fungi in chestnuts, suggesting that the analysis of light attenuation combined with the measurement of weight or volume can provide an immediate indication of fungal presence in fruits.

FOOD CONTROL (2021)

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Article Computer Science, Artificial Intelligence

Multi-source information fusion and deep-learning-based characteristics measurement for exploring the effects of peer engagement on stock price synchronicity

Lin Li et al.

Summary: By combining financial information with social textual information, this study examines the effects of peer engagement on stock price synchronicity. It finds that peer engagement reduces synchronicity, especially during epidemics, where group diversity and experts play a stronger role in lowering synchronicity.

INFORMATION FUSION (2021)

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Article Food Science & Technology

A Rapid Detection Method for Tomato Gray Mold Spores in Greenhouse Based on Microfluidic Chip Enrichment and Lens-Less Diffraction Image Processing

Yafei Wang et al.

Summary: This study introduced a rapid detection method for Botrytis cinerea spores in greenhouses based on microfluidic chip enrichment and lens-free diffraction image processing. The experimental results demonstrated the high collection efficiency of spores at different flow rates and showed strong consistency with manual counting results.

FOODS (2021)

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Article Agriculture, Multidisciplinary

Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images

Antonio Fazari et al.

Summary: The study aims to detect olive anthracnose in the early stages using hyperspectral images and deep learning techniques. By artificially inoculating olives with fungi and utilizing ResNet101 model to process data, the model showed high sensitivity in detecting infected olives.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

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Article Biotechnology & Applied Microbiology