Bioscience Methods 2024, Vol.15, No.4, 196-206 http://bioscipublisher.com/index.php/bm 2 05 Azfar S., Nadeem A., Ahsan K., Mehmood A., Siddiqui M., Saeed M., and Ashraf M., 2023b, An IoT-Based system for efficient detection of cotton pest, Applied Sciences, 13(5): 2921. https://doi.org/10.3390/app13052921 Baker B., Green T., and Loker A., 2020, Biological control and integrated pest management in organic and conventional systems, Biological Control, 140: 104095. https://doi.org/10.1016/j.biocontrol.2019.104095 Bally J., Fishilevich E., Doran R., Lee K., Campos S., German M., Narva K., and Waterhouse P., 2020, Plin‐amiR, a pre‐microRNA‐based technology for controlling herbivorous insect pests, Plant Biotechnology Journal, 18(9): 1925-1932. https://doi.org/10.1111/pbi.13352 Binu V., and Bhede B., 2019, Impact of repeated application of synthetic insecticides on thrips and their natural enemies of Bt cotton, International Journal of Current Microbiology and Applied Sciences, 8(8): 277-289. https://doi.org/10.20546/ijcmas.2019.808.033 Bowers C., Toews M., Liu Y., and Schmidt J., 2020, Cover crops improve early season natural enemy recruitment and pest management in cotton production, Biological Control, 141: 104149. https://doi.org/10.1016/j.biocontrol.2019.104149. Cagliari D., Dias N., Galdeano D., Santos E., Smagghe G., and Zotti M., 2019, Management of pest insects and plant diseases by non-transformative RNAi, Frontiers in Plant Science, 10: 1319. https://doi.org/10.3389/fpls.2019.01319. Chaube S., and Pandey S., 2022, Integrated pest management (IPM), best approach to control the agriculturally harmful pest population, Big Data In Agriculture, 4(2): 39-41. https://doi.org/10.26480/bda.02.2022.39.41 Chen C., Huang Y., Li Y., Chang C., and Huang Y., 2020, An AIoT based smart agricultural system for pests detection, IEEE Access, 8: 180750-180761. https://doi.org/10.1109/ACCESS.2020.3024891 Deguine J., Aubertot J., Flor R., Lescourret F., Wyckhuys K., and Ratnadass A., 2021, Integrated pest management: good intentions, hard realities, a review, Agronomy for Sustainable Development, 41(3): 38. https://doi.org/10.1007/s13593-021-00689-w El-Ghany N., El-Aziz S., and Marei S., 2020, A review: application of remote sensing as a promising strategy for insect pests and diseases management, Environmental Science and Pollution Research, 27(27): 33503-33515. https://doi.org/10.1007/s11356-020-09517-2 Filho F., Heldens W., Kong Z., and Lange E., 2019, Drones: innovative technology for use in precision pest management, Journal of Economic Entomology, 113(1): 1-25. https://doi.org/10.1093/jee/toz268 Filho F., Pazini J., Alves T., Koch R., and Yamamoto P., 2022, How does the digital transformation of agriculture affect the implementation of Integrated Pest Management?, Frontiers In Sustainable Food Systems, 6: 972213. https://doi.org/10.3389/fsufs.2022.972213 Francis F., Jacquemyn H., Delvigne F., and Lievens B., 2020, From diverse origins to specific targets: role of microorganisms in indirect pest biological control, Insects, 11(8): 533. https://doi.org/10.3390/insects11080533. Gassmann A., and Reisig D., 2022, Management of insect pests with Bt Crops in the United States, Annual Review of Entomology, 68(1): 31-49. https://doi.org/10.1146/annurev-ento-120220-105502 Green K., Stenberg J., and Lankinen Å., 2020, Making sense of Integrated Pest Management (IPM) in the light of evolution, Evolutionary Applications, 13(8): 1791-1805. https://doi.org/10.1111/eva.13067 Horrocks A., Horne P., and Davidson M., 2018, Demonstrating an integrated pest management strategy in forage- and seed-brassica crops using a collaborative approach, New Zealand Plant Protection, 71: 112-120. https://doi.org/10.30843/NZPP.2018.71.118 Huang G., Huang J., Chen X., and Zhu Y., 2021, Recent Advances and future perspectives in cotton research, Annual Review of Plant Biology, 72(1): 437-462. https://doi.org/10.1146/annurev-arplant-080720-113241 Kang S., Sun D., Qin J., Guo L., Zhu L., Bai Y., Wu Q., Wang S., Zhou X., Guo Z., and Zhang Y., 2021, Fused: a promising molecular target for an RNAi-based strategy to manage Bt resistance in Plutella xylostella (L.), Journal of Pest Science, 95: 101-114. https://doi.org/10.1007/S10340-021-01374-3 Li S., Kim D., and Zhang J., 2023, Plastid-mediated RNA interference: a potential strategy for efficient pest control, Plant, Cell & Environment, 46(9): 2595-2605. https://doi.org/10.1111/pce.14652 Li Y., Hallerman E., Wu K., and Peng Y., 2020, Insect-resistant genetically engineered crops in China: development, application, and prospects for use, Annual Review of Entomology, 65(1): 273-292. https://doi.org/10.1146/annurev-ento-011019-025039
RkJQdWJsaXNoZXIy MjQ4ODY0NQ==