1.Ahmed, N., Ansari, M.J. and Khan, A. 2020. Internet of Things (IoT) for smart agriculture: A review. International Journal of Advanced Computer Science and Applications, 11(5): 1–12.

2.Bakker, T., van Asselt, K., Bontsema, J., Tang, L. and van Straten, G. 2010. A vision-based row detection system for crops. Computers and Electronics in Agriculture, 69(1): 1–11.

3.Cheng, X., Xiao, L. and Li, Y. 2017. Acoustic detection of insects inside plant stems using vibration sensors and frequency analysis. Biosystems Engineering, 157: 1–12.

4.Dara, S.K. 2019. The new integrated pest management paradigm for the modern age. Journal of Integrated Pest Management, 10(1): 1–9.

5.Dutta, R., Singh, A. and Nair, A. 2021. IoT-based environmental sensing and pest prediction in rice fields. Smart Agricultural Technology, 1: 100001.

6.Kumari, P. and Singh, A. 2020. Role of IoT in modern agriculture: Review and future scope. Journal of Agriculture and Food Research, 2: 100026.

7.Mankin, R.W. and Hagstrum, D.W. 2011. Acoustic monitoring of insects. Encyclopedia of Entomology, pp. 1–6.

8.Nansen, C. and Elliott, N.C. 2016. Remote sensing and reflectance profiling in entomology. Annual Review of Entomology, 61: 139–158.

9.Sankaran, S., Mishra, A., Ehsani, R. and Davis, C. 2010. A review of advanced techniques for detecting plant diseases and stress. Computers and Electronics in Agriculture, 72(1): 1–13.

10.Sujatha, R. and Punitha, S. 2022. Machine learning techniques for pest detection in agriculture: A survey. Artificial Intelligence in Agriculture, 6: 14–28.

11.Yadav, R.L. and Verma, S. 2018. Biology and management of rice stem borers. Journal of Entomology and Zoology Studies, 6(4): 1456–1462.