BM_2026v17n5

Bioscience Methods 2026, Vol.17, No.5, 303-317 http://bioscipublisher.com/index.php/bm 316 disease-control measure in cucumber production. It is the environmental backbone of a broader precision and smart-management strategy that can reduce disease, improve yield, and support more sustainable greenhouse production. Acknowledgments I extend my sincere gratitude to the anonymous reviewers for their valuable and insightful comments, which have greatly strengthened this paper. Conflict of Interest Disclosure The author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Abdelfatah A., Mazrou Y., Arafa R., Makhlouf A., and El-Nagar A., 2025, Control of cucumber downy mildew disease under greenhouse conditions using biocide and organic compounds via induction of the antioxidant defense machinery, Scientific Reports, 15(1): 11705. https://doi.org/10.1038/s41598-024-81643-0 Ahmed M.H., and El-Hassawy M., 2021, Effect of temperature, relative humidity and some systemic fungicides on cucumber downy mildew and certain crop parameters, Egyptian Journal of Phytopathology, 49(1): 63-74 https://doi.org/10.21608/ejp.2021.62958.1024 Amin B., Atif M., Kandegama W., Nasar J., Alam P., Fang Z., and Cheng Z., 2024, Low temperature and high humidity affect dynamics of chlorophyll biosynthesis and secondary metabolites in cucumber, BMC Plant Biology, 24(1): 903 https://doi.org/10.1186/s12870-024-05615-2 Argento S., Garcia G., and Treccarichi S., 2024, Sustainable and low-input techniques in Mediterranean greenhouse vegetable production, Horticulturae, 10(9): 997. https://doi.org/10.3390/horticulturae10090997 Benyezza H., Bouhedda M., Kara R., and Rebouh S., 2023, Smart platform based on IoT and WSN for monitoring and control of a greenhouse in the context of precision agriculture, Internet of Things, 23: 100830. https://doi.org/10.1016/j.iot.2023.100830 Bersani C., Ruggiero C., Sacile R., Soussi A., and Zero E., 2022, Internet of Things approaches for monitoring and control of smart greenhouses in Industry 4.0, Energies, 15(10): 3834. https://doi.org/10.3390/en15103834 Chai A., Yuan L., Li X., Li L., Shi Y., Xie X.-W., and Li B., 2023, Effect of temperature and humidity on dynamics and transmission of Pseudomonas amygdali pv. lachrymans aerosols, Frontiers in Plant Science, 14: 1087496. https://doi.org/10.3389/fpls.2023.1087496 Delfani P., Thuraga V., Banerjee B., and Chawade A., 2024, Integrative approaches in modern agriculture: IoT, ML and AI for disease forecasting amidst climate change, Precision Agriculture, 25(5): 2589-2613. https://doi.org/10.1007/s11119-024-10164-7 Fanourakis D., Makraki T., Ntanasi T., Giannothanasis E., Tsaniklidis G., Tsitsigiannis D., and Ntatsi G., 2026, Climate-driven pest and disease dynamics in greenhouse vegetables: a review, Horticulturae, 12(4): 415. https://doi.org/10.3390/horticulturae12040415 Gao X., Guo P., Wang Z., Chen C., and Ren Z., 2021, Transcriptome profiling reveals response genes for downy mildew resistance in cucumber, Planta, 253(5): 112. https://doi.org/10.1007/s00425-021-03603-6 Hossain M.M., Sultana F., Mostafa M., Ferdus H., Rahman M., Rana J.A., Islam S.S., Adhikary S., Sannal A., Hosen M.A.E., Nayeema J., Emu N.J., Kundu M., Biswas S., Farzana L., and Sabbir M.A.A., 2024, Plant disease dynamics in a changing climate: impacts, molecular mechanisms, and climate-informed strategies for sustainable management, Discover Agriculture, 2(1): 132. https://doi.org/10.1007/s44279-024-00144-w Ito K., and Tabei T., 2021, Model predictive temperature and humidity control of greenhouse with ventilation, Procedia Computer Science, 192: 212-221. https://doi.org/10.1016/j.procs.2021.08.022 Khudhair A.A., and Aljarah N.S., 2023, The role of the relative humidity on the development of downy mildew infection of cucumber in the greenhouse in Baghdad, IOP Conference Series: Earth and Environmental Science, 1252(1): 012019. https://doi.org/10.1088/1755-1315/1252/1/012019 Kim B.R., Hahm S., Kwon M., Kim Y.J., Kim W.S., Song J.Y., Oh S.K., and Ju J., 2021, Environment-friendly control of cucumber downy mildew using chlorine dioxide, Research in Plant Disease, 2021: 149-158. https://doi.org/10.5423/RPD.2021.27.4.149 Lee S., and Yun C.M., 2023, A deep learning model for predicting risks of crop pests and diseases from sequential environmental data, Plant Methods, 19(1): 145. https://doi.org/10.1186/s13007-023-01122-x

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