<abstract xmlns="http://www.w3.org/1999/xhtml"><p>A prototype for pest development stages forecasting is developed in Kazakhstan exploiting data from the geoinformation technologies and using codling moth as a model pest in apples. The basic methodology involved operational thermal map retrieving based on MODIS land surface temperature products and weather stations data, their recalculation into accumulated degree days maps and then into maps of the phases of the codling moth population dynamics. The validation of the predicted dates of the development stages according to the in-situ data gathered in the apple orchards showed a good predictivity of the forecast maps. Predictivity of the prototype can be improved by using daily satellite sensor datasets and their calibration with data received from a network of weather stations installed in the orchards.</p></abstract>

A prototype for pest development stages forecasting is developed in Kazakhstan exploiting data from the geoinformation technologies and using codling moth as a model pest in apples. The basic methodology involved operational thermal map retrieving based on MODIS land surface temperature products and weather stations data, their recalculation into accumulated degree days maps and then into maps of the phases of the codling moth population dynamics. The validation of the predicted dates of the development stages according to the in-situ data gathered in the apple orchards showed a good predictivity of the forecast maps. Predictivity of the prototype can be improved by using daily satellite sensor datasets and their calibration with data received from a network of weather stations installed in the orchards.

Prototype Spatio-temporal Predictive System of pest development of the codling moth, <italic>Cydia pomonella</italic>, in Kazakhstan

Kazakh Research Institute for Plant Protection and Quarantine named after Zhazken Zhiembayev

Hellenic Plant Protection Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Prototype Spatio-temporal Predictive System of pest development of the codling moth, , in Kazakhstan

A prototype for pest development stages forecasting is developed in Kazakhstan exploiting data from the geoinformation technologies and using codling moth as a...

Prototype Spatio-temporal Predictive System of pest development of the codling moth, Cydia pomonella, in Kazakhstan

Online veröffentlicht: 21. Dez. 2019

Seitenbereich: 1 - 12

Eingereicht: 27. Dez. 2017

Akzeptiert: 20. Juni 2019

DOI: https://doi.org/10.2478/hppj-2020-0001

Schlüsselwörter
Codling Moth, day degrees, meteorological stations, land surface temperature, plant protection, remote sensing

© 2020 A. Afonin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Prototype Spatio-temporal Predictive System of pest development of the codling moth, Cydia pomonella, in Kazakhstan

Online veröffentlicht: 21. Dez. 2019

Seitenbereich: 1 - 12

Eingereicht: 27. Dez. 2017

Akzeptiert: 20. Juni 2019

DOI: https://doi.org/10.2478/hppj-2020-0001

SchlüsselwörterCodling Moth, day degrees, meteorological stations, land surface temperature, plant protection, remote sensing

© 2020 A. Afonin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Codling Moth, day degrees, meteorological stations, land surface temperature, plant protection, remote sensing