Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4510
Title: A national system for monitoring the population of agricultural pests using an integrated approach of remote sensing data from in situ automated traps and satellite images
Authors: Themistocleous, Kyriacos 
Psimolophitis, Elias 
Hadjimitsis, Diofantos G. 
Major Field of Science: Natural Sciences
Field Category: Civil Engineering
Keywords: Agricultural;MODIS;Pest;Temperature;Thermal satellite images;Trap;Vine-fly
Issue Date: 2010
Source: Proceedings of SPIE - The International Society for Optical Engineering, 2010, vol. 7824
Volume: 7824
Journal: Proceedings of SPIE - The international society for optical engineering 
Abstract: A national system for monitoring the population increase of agricultural pest "Lobesia Botrana" (vine moth/fly that attacks grapes) in Cyprus has been developed. The system comprises of automated delta traps with GPS that use wireless(Wi-Fi) camera, automated image analysis for identification of the specific fly species, Wi-Fi technology for transferring the data using mobile telephony network to a central station for result presentation and analysis. A GIS database was developed and included details of the pilot vineyards, environmental conditions and daily data of the number of captured flies from each automated trap. The results were compared with MODIS and LANDSAT satellite thermal images since the appearance of the vine fly is greatly dependent on the microclimate temperatures (degree days). Results showed that satellite data can estimate accurately the appearance of the vine fly. The proposed system can be an important tool for the improvement of a national Integrated Pest Management (IPM) system and it can also be used for monitoring other agricultural pests and insects
URI: https://hdl.handle.net/20.500.14279/4510
ISSN: 1996756X
DOI: 10.1117/12.864933
Rights: © SPIE
Type: Article
Affiliation : Novatex Solutions Ltd. 
CNE Technology Ltd. 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

SCOPUSTM   
Citations

1
checked on Nov 9, 2023

Page view(s)

582
Last Week
0
Last month
1
checked on Nov 23, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.