4.3 Article

Detection of Lesions in Lettuce Caused by Pectobacterium carotovorum Subsp. carotovorum by Supervised Classification Using Multispectral Images

Related references

Note: Only part of the references are listed.
Article Agriculture, Multidisciplinary

Application of aerial remote sensing technology for detection of fire blight infected pear trees

Nikrooz Bagheri

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Review Environmental Sciences

Remote sensing for agricultural applications: A meta-review

M. Weiss et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Article Automation & Control Systems

A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves

Zhou Xin et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)

Article Environmental Sciences

Potato Late Blight Detection at the Leaf and Canopy Levels Based in the Red and Red-Edge Spectral Regions

Claudio Ignacio Fernandez et al.

REMOTE SENSING (2020)

Article Environmental Sciences

Automatic Classification of Cotton Root Rot Disease Based on UAV Remote Sensing

Tianyi Wang et al.

REMOTE SENSING (2020)

Review Plant Sciences

Remote Sensing of Diseases

Erich-Christian Oerke

ANNUAL REVIEW OF PHYTOPATHOLOGY, VOL 58 (2020)

Article Agriculture, Multidisciplinary

Automatic vegetable disease identification approach using individual lesion features

Aliyu Muhammad Abdu et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Article Agriculture, Multidisciplinary

Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV)

Mahendra Bhandari et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Article Agriculture, Multidisciplinary

Early detection of bacterial wilt in peanut plants through leaf-level hyperspectral and unmanned aerial vehicle data

Tingting Chen et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Article Environmental Sciences

A Plant-by-Plant Method to Identify and Treat Cotton Root Rot Based on UAV Remote Sensing

Tianyi Wang et al.

REMOTE SENSING (2020)

Article Agriculture, Multidisciplinary

Detection and differentiation between potato (Solanum tuberosum) diseases using calibration models trained with non-imaging spectrometry data

Damian Bienkowski et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

Review Plant Sciences

Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture

Wouter H. Maes et al.

TRENDS IN PLANT SCIENCE (2019)

Article Physics, Multidisciplinary

Automatic detection and classification of leaf spot disease in sugar beet using deep learning algorithms

Mehmet Metin Ozguven et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)

Article Remote Sensing

Combined use of agro-climatic and very high-resolution remote sensing information for crop monitoring

R. Ballesteros et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2018)

Article Plant Sciences

Detection of Bacterial Infection in Melon Plants by Classification Methods Based on Imaging Data

Monica Pineda et al.

FRONTIERS IN PLANT SCIENCE (2018)

Article Engineering, Chemical

Identification of pesticide residues in lettuce leaves based on near infrared transmission spectroscopy

Jun Sun et al.

JOURNAL OF FOOD PROCESS ENGINEERING (2018)

Review Chemistry, Analytical

Machine Learning in Agriculture: A Review

Konstantinos G. Liakos et al.

SENSORS (2018)

Article Agronomy

Multilayer Perceptron Neural Network Approach to Estimate Chlorophyll Concentration Index of Lettuce (Lactuca sativa L.)

Mehmet Serhat Odabas et al.

COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS (2017)

Article Geochemistry & Geophysics

Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images

Everton Castelao Tetila et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)

Article Environmental Sciences

Low-cost multispectral imaging for remote sensing of lettuce health

David D. W. Ren et al.

JOURNAL OF APPLIED REMOTE SENSING (2017)

Article Agriculture, Multidisciplinary

Lettuce genotype resistance to "soft rot" caused by Pectobacterium carotovorum subsp. carotovorum

Kátia Cilene da Silva Felix et al.

SCIENTIA AGRICOLA (2014)

Article Agriculture, Multidisciplinary

Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees

Francisco Garcia-Ruiz et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2013)

Review Horticulture

Potential applications of remote sensing in horticulture-A review

K. Usha et al.

SCIENTIA HORTICULTURAE (2013)

Article Plant Sciences

Characterization of Pectobacterium carotovorum subsp. carotovorum as a new disease on Lettuce in Malaysia

Eisa Nazerian et al.

AUSTRALASIAN PLANT DISEASE NOTES (2013)

Article Agriculture, Multidisciplinary

Prediction of leaf area index in almonds by vegetation indexes

Jose L. Zarate-Valdez et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2012)

Review Plant Sciences

Top 10 plant pathogenic bacteria in molecular plant pathology

John Mansfield et al.

MOLECULAR PLANT PATHOLOGY (2012)

Article Agronomy

Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index

E. Raymond Hunt et al.

AGRONOMY JOURNAL (2011)

Review Geography, Physical

Support vector machines in remote sensing: A review

Giorgos Mountrakis et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Article Agriculture, Multidisciplinary

Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

T. Rumpf et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)

Article Environmental Sciences

Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring

E. Raymond Hunt et al.

REMOTE SENSING (2010)

Review Agronomy

Application of spectral remote sensing for agronomic decisions

J. L. Hatfield et al.

AGRONOMY JOURNAL (2008)

Article Remote Sensing

Response of ratio vegetation indices to foot rot-infected citrus trees

RS Fletcher et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)

Article Biotechnology & Applied Microbiology

In vitro system for studying the interaction between Erwinia amylovora and genotypes of pear

H Abdollahi et al.

PLANT CELL TISSUE AND ORGAN CULTURE (2004)