Determination of the best timing for control application against cotton leaf worm using remote sensing and geographical information techniques

Yones, M.S.; Arafat, S.M. Yasir; Abou-Hadid, A.F.; El-Rahman, H. A. Abd; Dahi, Hassan F.

doi:10.1016/j.ejrs.2012.05.004

Cited by 13 publications

(10 citation statements)

References 11 publications

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“…Aside from Yones et al (2012), no other publications were found relating thermal satellite based sensor data to agricultural pest monitoring and control. Those authors compared the numerical weather results derived from NOAA satellite images with data obtained from an in-situ meteorological station (thermographs) using the degree-days methodology to analyze a particular geographical position and a particular pest (Spodoptera littoralis).…”

Section: Introductionmentioning

confidence: 92%

“…This value represents a forecast difference of approximately 2.85 days. Yones et al (2012) concluded that thermal satellite sensor images could be a valuable tool in integrated pest management.…”

Section: Introductionmentioning

confidence: 98%

“…Satellite-based sensors that use thermal band data provide information on land surface temperature (LST) for vast areas, enabling researchers to study spatiotemporal trends in (i) the urban heat island effect (Nichole, 2005;Schwarz et al, 2011;Li et al, 2012;Skelsey et al, 2013;Dugord et al, 2014;Pandya et al, 2014;Weng and Fu, 2014); (ii) tectonic activities (Ma et al, 2010); (iii) land use cover (Momeni and Saradjian, 2007;Julien and Sobrino, 2009;Buyantuyev and Wu, 2010;Langer et al, 2010;Westermann et al, 2011;Michele et al, 2013;Chen et al, 2014;Ermida et al, 2014;Ghosh and P. Joshi, 2014); (iv) physiography (Kerchove et al, 2013); (v) geothermal anomalies (Qin et al, 2011); (vi) air temperature (Vogt et al, 1997;Cresswell et al, 1999;Jang et al, 2004;Mostovoy et al, 2006;Benali et al, 2012;Shamir and Georgakakos, 2014); and (vii) agricultural pest monitoring and control (Yones et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Agriculture pest and disease risk maps considering MSG satellite data and land surface temperature

Silva

Damásio

Sousa

et al. 2015

International Journal of Applied Earth Observation and Geoinfor

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Pest risk maps for agricultural use are usually constructed from data obtained from in-situ meteorological weather stations, which are relatively sparsely distributed and are often quite expensive to install and difficult to maintain. This leads to the creation of maps with relatively low spatial resolution, which are very much dependent on interpolation methodologies. Considering that agricultural applications typically require a more detailed scale analysis than has traditionally been available, remote sensing technology can offer better monitoring at increasing spatial and temporal resolutions, thereby improving pest management results and

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Section: Introductionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Agriculture pest and disease risk maps considering MSG satellite data and land surface temperature

Silva

Damásio

Sousa

et al. 2015

International Journal of Applied Earth Observation and Geoinfor

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“…No diapause has been reported. The thermal units required for the completion of generation is, on average, about 524 degree-days in the laboratory and about 545 in the field (calculated from air temperatures); with 9.9 °C considered to be the lower developmental threshold (Yones et al, 2012).…”

Section: Pest Biologymentioning

confidence: 99%

“…At 1 °C, the egg, larval and pupal stages take 9, 34 and 27 days, respectively, but at 36 °C only 2, 10 and 8 days, respectively (Ocete Rubio, 1984;quoted by CABI, 2014). The number of degree-days for each stage in the life cycle has been described by Yones et al (2012). The phenological data have proved to be valuable when timing control measures.…”

Section: Pest Biologymentioning

confidence: 99%

Scientific Opinion on the pest categorisation ofSpodoptera littoralis

Rossi¹

2015

EFSA Journal

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The Panel on Plant Health undertook a pest categorisation of Spodoptera littoralis (Boisduval) for the territory of the European Union (EU). This insect is morphologically very similar to S. litura but the two species occupy very distinct geographical distributions, with only S. littoralis found in Europe and Africa. S. littoralis is established only in the southernmost parts of Europe where winters are not too cold. Long-distance northward migrations occur and the pest can also be transported throughout the EU with plants for planting. S. littoralis is highly polyphagous and it is an important pest of a very wide variety of outdoor vegetable, salad and ornamental crops in southern Europe. Field crops, such as lucerne, can also be affected, and even football pitches can be damaged. Population densities and damage vary considerably from year to year. Outbreaks also occur in protected crops, particularly ornamentals, throughout the EU. A very large number of insecticides are deployed to control this pest, which is resistant to many compounds. Resistance management and successful control of the pest can be obtained with mass trapping, mating disruption and attract-and-kill methods. S. littoralis is listed in Annex IAII and special requirements for S. littoralis are formulated in Annexes IVAI and IVAII of Council Directive 2000/29/EC to regulate the movement of plants for planting of three ornamental genera (Dendranthema, Dianthus and Pelargonium).

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