Preliminary Assessment of Aphid Risk Using Smart Agriculture Station Data in a Nectarine Orchard: A Case Study from Nurdağı/Gedikli, Türkiye
Abstract
Smart agriculture stations provide continuous agroclimatic data that can support pest risk assessment and early-warning decision-making in crop protection. This short communication evaluates model-derived aphid risk patterns using smart agriculture station data collected from a nectarine orchard in Nurdağı/Gedikli, Gaziantep Province, Türkiye. The analysis covered the continuous observation period from 13 September 2023 to 3 January 2024, comprising 2,680 consecutive hourly records. Model-derived aphid risk values were classified into low, moderate, high, and very high categories for descriptive assessment. Mean risk was 51.85%, with very high-risk conditions accounting for 47.46% and low-risk conditions for 43.58% of records. The longest continuous very-high-risk period occurred from 25 September to 17 November 2023, and October represented the peak risk period. Aphid risk showed a positive relationship with air temperature and negative relationships with relative humidity and leaf wetness. These results indicate that station-based model outputs may help identify periods requiring intensified field monitoring and support site-specific pest management. However, the study did not include direct aphid population observations, species identification, or crop damage assessment. Therefore, the results represent a preliminary assessment of model-derived environmental risk rather than direct evidence of aphid abundance or infestation. Multi-season and multi-site field validation is required to assess reliability and practical applicability.
Keywords
Aphid monitoring, Integrated pest management, Microclimate, Pest forecasting, Precision agriculture, Prunus persica var. nectarina
Ethical Statement
References
- Bebber, D. P., Ramotowski, M. A. T., & Gurr, S. J. (2013). Crop pests and pathogens move polewards in a warming world. Nature Climate Change, 3, 985-988. https://doi.org/10.1038/nclimate1990
- Deutsch, C. A., Tewksbury, J. J., Tigchelaar, M., Battisti, D. S., Merrill, S. C., Huey, R. B., & Naylor, R. L. (2018). Increase in crop losses to insect pests in a warming climate. Science, 361(6405), 916-919. https://doi.org/10.1126/science.aat3466
- FAO. (2025). How early warning systems for plant health protect crops, people, and planet. https://www.fao.org/one-health/highlights/highlights-detail/how-early-warning-systems-for-plant-health-protect-crops--people--and-planet/en
- Pessl Instruments GmbH. (2025). METOS 5 extended manual. https://metos.global/wp-content/uploads/2025/01/METOS-5-Extended_manual-1.0-EN.pdf
- Rousselin, A., Bevacqua, D., Sauge, M.-H., Lescourret, F., Mody, K., & Jordan, M.-O. (2017). Harnessing the aphid life cycle to reduce insecticide reliance in apple and peach orchards: A review. Agronomy for Sustainable Development, 37, 38. https://doi.org/10.1007/s13593-017-0444-8
- Sun, J., Tan, X., Li, Q., Francis, F., & Chen, J. (2022). Effects of different temperatures on the development and reproduction of Sitobion miscanthi from six different regions in China. Frontiers in Ecology and Evolution, 10, 794495. https://doi.org/10.3389/fevo.2022.794495
- Tratwal, A., Jakubowska, M., & Pietrusińska-Radzio, A. (2025). Decision support systems in integrated pest and disease management: Innovative elements in sustainable agriculture. Sustainability, 17(18), 8111. https://doi.org/10.3390/su17188111
- Verdugo, J. A., Méndez, T., Ortiz-Martínez, S. A., Cumsille, R., & Ramírez, C. C. (2012). Variation in resistance mechanisms to the green peach aphid among different Prunus persica commercial cultivars. Journal of Economic Entomology, 105(5), 1844-1855. https://doi.org/10.1603/EC12100
- Wains, M. S., Ali, M. A., Hussain, M., Anwar, J., Zulkiffal, M., & Sabir, W. (2010). Aphid dynamics in relation to meteorological factors and various management practices in bread wheat. Journal of Plant Protection Research, 50(3), 385-392. https://doi.org/10.2478/v10045-010-0065-6
- Wang, L., Hui, C., Sandhu, H. S., Li, Z., & Zhao, Z. (2015). Population dynamics and associated factors of cereal aphids and armyworms under global change. Scientific Reports, 5, 18801. https://doi.org/10.1038/srep18801