Detection of <i>Ecballium elaterium</i> in hedgerow olive orchards using a low‐cost uncrewed aerial vehicle and open‐source algorithms-Reference-Cited by-同舟云学术

Detection of Ecballium elaterium in hedgerow olive orchards using a low‐cost uncrewed aerial vehicle and open‐source algorithms

Published:2022-10-27 Issue:2 Volume:79 Page:645-654
ISSN:1526-498X
Container-title:Pest Management Science
language:en
Short-container-title:Pest Management Science

Author:

Torres‐Sánchez Jorge¹^ORCID,Mesas‐Carrascosa Francisco Javier²,Pérez‐Porras Fernando²,López‐Granados Francisca¹

Affiliation:

1. imaPing Group, Department of Crop Protection Institute for Sustainable Agriculture (IAS), Spanish National Research Council (CSIC) Córdoba Spain

2. Department of Graphic Engineering and Geomatics Campus de Rabanales, University of Cordoba Córdoba Spain

Funder

Ministerio de Ciencia e Innovación

Publisher

Wiley

Subject

Insect Science,Agronomy and Crop Science,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ps.7233

Reference37 articles.

1. Spatial and Temporal Distribution of Ecballium elaterium in Almond Orchards

2. SaavedraM Características y control del pepinillo del diablo:Ecballium elaterium(L.) Richard Junta de Andalucía Consejería de Agricultura y Pesca Sevilla(2000).

3. Can Commercial Low-Cost Drones and Open-Source GIS Technologies Be Suitable for Semi-Automatic Weed Mapping for Smart Farming? A Case Study in NE Italy

4. Early Detection of Broad-Leaved and Grass Weeds in Wide Row Crops Using Artificial Neural Networks and UAV Imagery

5. Mapping Cynodon Dactylon Infesting Cover Crops with an Automatic Decision Tree-OBIA Procedure and UAV Imagery for Precision Viticulture

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