4.7 Article

Kiwi Plant Canker Diagnosis Using Hyperspectral Signal Processing and Machine Learning: Detecting Symptoms Caused by Pseudomonas syringae pv. actinidiae

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Agriculture, Multidisciplinary

Unscrambling spectral interference and matrix effects in Vitis vinifera Vis-NIR spectroscopy: Towards analytical grade 'in vivo' sugars and acids quantification

R. C. Martins et al.

Summary: This study presents a new self-learning artificial intelligence method based on the search of covariance modes for quantifying plant metabolic constituents using spectroscopy. The method resolves spectral interference and matrix effects, providing consistent quantification results. Comparative analysis with other advanced methods demonstrates high correlation coefficients and low error rates for the new method.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)

Article Agricultural Engineering

Canopy VIS-NIR spectroscopy and self-learning artificial intelligence for a generalised model of predawn leaf water potential in Vitis vinifera

Renan Tosin et al.

Summary: This paper focuses on predicting predawn leaf water potential using a self-learning artificial intelligence algorithm. Through the analysis of a dataset collected with a handheld hyperspectral spectroradiometer, the algorithm demonstrates superior performance in regression and classification compared to other methods. It accurately identifies the spectral absorption zones of chlorophyll, xanthophyll, and water, providing insights into the grapevine's water status.

BIOSYSTEMS ENGINEERING (2022)

Article Environmental Sciences

Susceptibility mapping of groundwater salinity using machine learning models

Amirhosein Mosavi et al.

Summary: Rising groundwater salinity globally poses significant environmental and health risks. Developing innovative methods for spatial salinity modeling and prediction is crucial for resource management and policy planning. This study demonstrates the use of machine learning models to map groundwater salinity, with the support vector machine model showing superior performance and identifying key contributing factors in different regions.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)

Article Automation & Control Systems

Random radial basis function kernel-based support vector machine

Xiaojian Ding et al.

Summary: This paper introduces a new kernel, RRBF, for SVM training model, which demonstrates a universal approximation capability and insensitivity to hyperparameter C. Experimental results show that SVM with RRBF kernel outperforms traditional RBF kernel and other popular kernels, and can quickly find optimal parameters.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2021)

Article Horticulture

Assessing predawn leaf water potential based on hyperspectral data and pigment's concentration of Vitis vinifera L. in the Douro Wine Region

Renan Tosin et al.

Summary: This study developed two models to estimate Psi(pd) in a commercial vineyard, utilizing spectral data and machine learning algorithms. The first model estimated Psi(pd) based on vine canopy reflectance and selected suitable vegetation indices, while the second model optimized variables for Psi(pd) estimation based on pigments' concentrations assessed through hyperspectral reflectance. The B-MARS algorithm produced the best results with a RRMSE between 13-14% in validation.

SCIENTIA HORTICULTURAE (2021)

Review Food Science & Technology

Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

Dhritiman Saha et al.

Summary: This paper provides an overview of the application of different machine learning techniques in the analysis of hyperspectral images for the determination of food quality. It covers the principles underlying hyperspectral imaging, the advantages, and the limitations of each machine learning technique.

CURRENT RESEARCH IN FOOD SCIENCE (2021)

Proceedings Paper Computer Science, Interdisciplinary Applications

The Cross Validation in Automated Valuation Models: A Proposal for Use

Agostino Valier

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT V (2020)

Article Plant Sciences

Leaf hyperspectral reflectance as a potential tool to detect diseases associated with vineyard decline

Amanda Heemann Junges et al.

TROPICAL PLANT PATHOLOGY (2020)

Review Plant Sciences

Plant Disease Detection and Classification by Deep Learning

Muhammad Hammad Saleem et al.

PLANTS-BASEL (2019)

Review Plant Sciences

Non-destructive techniques of detecting plant diseases: A review

Maimunah Mohd Ali et al.

PHYSIOLOGICAL AND MOLECULAR PLANT PATHOLOGY (2019)

Proceedings Paper Engineering, Electrical & Electronic

Unscrambling Complex Sample Composition, Variability and Multi-scale Interference in Optical Spectroscopy

Rui C. Martins

FOURTH INTERNATIONAL CONFERENCE ON APPLICATIONS OF OPTICS AND PHOTONICS (2019)

Review Engineering, Multidisciplinary

Applications of Vegetative Indices from Remote Sensing to Agriculture: Past and Future

Jerry L. Hatfield et al.

INVENTIONS (2019)

Article Remote Sensing

Detection of Fire Blight disease in pear trees by hyperspectral data

Nikrooz Bagheri et al.

EUROPEAN JOURNAL OF REMOTE SENSING (2018)

Article Plant Sciences

Hyperspectral Canopy Sensing of Wheat Septoria Tritici Blotch Disease

Kang Yu et al.

FRONTIERS IN PLANT SCIENCE (2018)

Review Instruments & Instrumentation

Early detection of diseases in plant tissue using spectroscopy - applications and limitations

Alfadhl Yahya Khaled et al.

APPLIED SPECTROSCOPY REVIEWS (2018)

Article Environmental Sciences

Soybean Disease Monitoring with Leaf Reflectance

Sreekala G. Bajwa et al.

REMOTE SENSING (2017)

Review Engineering, Electrical & Electronic

Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

Jinru Xue et al.

JOURNAL OF SENSORS (2017)

Article Agriculture, Multidisciplinary

Field detection of anthracnose crown rot in strawberry using spectroscopy technology

Jinzhu Lu et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)

Article Agriculture, Multidisciplinary

Outbreak and Spread of Bacterial Canker of Kiwifruit Caused by Pseudomonas syringae pv. actinidiae Biovar 3 in Korea

Gyoung Hee Kim et al.

PLANT PATHOLOGY JOURNAL (2016)

Article Geography, Physical

Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison

Jochem Verrelst et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2015)

Review Agronomy

Advanced methods of plant disease detection. A review

Federico Martinelli et al.

AGRONOMY FOR SUSTAINABLE DEVELOPMENT (2015)

Review Chemistry, Analytical

Current and Prospective Methods for Plant Disease Detection

Yi Fang et al.

BIOSENSORS-BASEL (2015)

Article Engineering, Electrical & Electronic

Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters

Juan Pablo Rivera Caicedo et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)

Article Chemistry, Multidisciplinary

Cross-validation pitfalls when selecting and assessing regression and classification models

Damjan Krstajic et al.

JOURNAL OF CHEMINFORMATICS (2014)

Article Environmental Sciences

Developing Two Spectral Disease Indices for Detection of Wheat Leaf Rust (Pucciniatriticina)

Davoud Ashourloo et al.

REMOTE SENSING (2014)

Article Environmental Sciences

On the Semi-Automatic Retrieval of Biophysical Parameters Based on Spectral Index Optimization

Juan Pablo Rivera et al.

REMOTE SENSING (2014)

Article Environmental Sciences

Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission

Isabella Mariotto et al.

REMOTE SENSING OF ENVIRONMENT (2013)

Article Environmental Sciences

Development of spectral indices for detecting and identifying plant diseases

A. -K. Mahlein et al.

REMOTE SENSING OF ENVIRONMENT (2013)

Article Remote Sensing

A comparison of three feature selection methods for object-based classification of sub-decimeter resolution UltraCam-L imagery

A. S. Laliberte et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2012)

Article Plant Sciences

Pseudomonas syringae pv. actinidiae: a re-emerging, multi-faceted, pandemic pathogen

Marco Scortichini et al.

MOLECULAR PLANT PATHOLOGY (2012)

Article Geosciences, Multidisciplinary

Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy

Cristiano Ballabio et al.

MATHEMATICAL GEOSCIENCES (2012)

Article Chemistry, Analytical

A tutorial on support vector machine-based methods for classification problems in chemometrics

Jan Luts et al.

ANALYTICA CHIMICA ACTA (2010)

Review Agriculture, Multidisciplinary

A review of advanced techniques for detecting plant diseases

Sindhuja Sankaran et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)

Article Agriculture, Multidisciplinary

Spectral signatures of sugar beet leaves for the detection and differentiation of diseases

A. -K. Mahlein et al.

PRECISION AGRICULTURE (2010)

Article Agriculture, Multidisciplinary

The potential of spectral reflectance technique for the detection of Grapevine leafroll-associated virus-3 in two red-berried wine grape cultivars

Rayapati A. Naidu et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2009)

Article Environmental Sciences

Retrieval of chlorophyll concentration from leaf reflectance spectra using wavelet analysis

George Alan Blackburn et al.

REMOTE SENSING OF ENVIRONMENT (2008)

Article Plant Sciences

Hyperspectral remote sensing of plant pigments

George Alan Blackburn

JOURNAL OF EXPERIMENTAL BOTANY (2007)

Article Environmental Sciences

Hyperspectral vegetation indices and their relationships with agricultural crop characteristics

PS Thenkabail et al.

REMOTE SENSING OF ENVIRONMENT (2000)