Introduction
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43098-5_1
Reference56 articles.
1. Abd El-Ghany, N. M., Abd El-Aziz, S. E., & Marei, S. S. (2020). A review: Application of remote sensing as a promising strategy for insect pests and diseases management. Environmental Science and Pollution Research, 27, 33503–33515. https://doi.org/10.1007/s11356-020-09517-2
2. Acharya, M., & Thapa, R. (2015). Remote sensing and its application in agricultural pest management. Journal of Agricultural and Environmental, 16, 43–61. https://doi.org/10.3126/aej.v16i0.19839
3. Alexandridis, N., Marion, G., Chaplin-Kramer, R., Dainese, M., Ekroos, J., Grab, H., Jonsson, M., Karp, D. S., Meyer, C., O’Rourke, M. E., Pontarp, M., Poveda, K., Seppelt, R., Smith, H. G., Martin, E. A., & Clough, Y. (2021). Models of natural pest control: Towards predictions across agricultural landscapes. Biological Control, 163, 104761. https://doi.org/10.1016/j.biocontrol.2021.104761
4. Asefpour Vakilian, K., & Massah, J. (2013). Performance evaluation of a machine vision system for insect pests identification of field crops using artificial neural networks. Archives of Phytopathology and Plant Protection, 46, 1262–1269. https://doi.org/10.1080/03235408.2013.763620
5. Benítez, M., Rosell, J. A., & Perfecto, I. (2022). Editorial: Mathematical modeling and complex systems in agroecology. Frontiers in Sustainable Food Systems, 6, 1–3. https://doi.org/10.3389/fsufs.2022.829551
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