Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field-Reference-Cited by-同舟云学术

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Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field

Published:2022-03-16 Issue:6 Volume:78 Page:2316-2323
ISSN:1526-498X
Container-title:Pest Management Science
language:en
Short-container-title:Pest Management Science

Author:

Plaza Javier¹^ORCID,Sánchez Nilda¹²^ORCID,García‐Ariza Carmen³,Pérez‐Sánchez Rodrigo¹^ORCID,Charfolé Francisco²,Caminero‐Saldaña Constantino³^ORCID

Affiliation:

1. Plant Production Group. Faculty of Environmental and Agricultural Sciences University of Salamanca Salamanca Spain

2. Department of Cartographic and Land Engineering University of Salamanca Ávila Spain

3. Pest Area. Technological Agricultural Institute of Castilla y León (ITACyL) Valladolid Spain

Publisher

Wiley

Subject

Insect Science,Agronomy and Crop Science,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ps.6857

Reference52 articles.

1. Harvesting behaviour of three central European rodents: Identifying the rodent pest in cereals

2. “Living on the edge”: The role of field margins for common vole (Microtus arvalis) populations in recently colonised Mediterranean farmland

3. Weather influences M. arvalis reproduction but not population dynamics in a 17-year time series

4. Recent large-scale range expansion and outbreaks of the common vole (Microtus arvalis) in NW Spain

5. Factors associated with the colonization of agricultural areas by common voles Microtus arvalis in NW Spain

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1. Analyzing the spatiotemporal habitat colonization dynamics of the common vole (Microtus arvalis Pallas) in Castilla y León, northwest Spain, using a hotspot‐based approach^†;Pest Management Science;2024-07-29

2. The Second Derivative of the NDVI Time Series as an Estimator of Fresh Biomass: A Case Study of Eight Forage Associations Monitored via UAS;Drones;2023-05-26

3. The Use of Drones to Determine Rodent Location and Damage in Agricultural Crops;Drones;2022-12-05

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