Spectral assessment of two-spotted spider mite damage levels in the leaves of greenhouse-grown pepper and bean-Reference-Cited by-同舟云学术

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Spectral assessment of two-spotted spider mite damage levels in the leaves of greenhouse-grown pepper and bean

Published:2017-05 Issue: Volume:157 Page:72-85
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Herrmann Ittai,Berenstein Michael,Paz-Kagan Tarin,Sade Amit,Karnieli Arnon

Funder

Bio-Bee Biological Systems Ltd.

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference49 articles.

1. Aesthetic damage thresholds for twospotted spider mites (Acari : Tetranychidae) on impatiens: Effect of plant age and level of infestation;Alatawi;Journal of Economic Entomology,2007

2. A review of the major biological approaches to control the worldwide pest Tetranychus urticae (Acari: Tetranychidae) with special reference to natural pesticides;Attia;Journal of Pest Science,2013

3. A coefficient of agreement for nominal scales;Cohen;Educational and Psychological Measurement,1960

4. Leaf nitrogen estimation in potato based on spectral data and on simulated bands of the VENuS satellite;Cohen;Precision Agriculture,2010

5. Exploring the relationship between reflectance red edge and chlorophyll content in slash pine;Curran;Tree Physiology,1990

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1. Hyperspectral Imaging and Machine Learning: A Promising Tool for the Early Detection of Tetranychus urticae Koch Infestation in Cotton;Agriculture;2024-09-10

2. Machine learning-based hyperspectral wavelength selection and classification of spider mite-infested cucumber leaves;Experimental and Applied Acarology;2024-08-23

3. Multi-Sensor Classification Framework of Urban Vegetation for Improving Ecological Services Management;Remote Sensing;2024-03-21

4. Transmittance Properties of Healthy and Infected Coffee Robusta Leaves with Coffee Leaf Miner (CLM) Pests;ASEC 2023;2023-10-26

5. Enhancing Kiwi Bacterial Canker Leaf Assessment: Integrating Hyperspectral-Based Vegetation Indexes in Predictive Modeling;CSAC 2023;2023-10-05

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