Yali Deng , Haomin Chen

Tropical Medicinal Plant Research Center, Hainan Institute of Tropical Agricultural Resources, Sanya, 572025, Hainan, China
Author    Correspondence author
Molecular Entomology, 2024, Vol. 15, No. 5   doi: 10.5376/me.2024.15.0025
Received: 11 Sep., 2024    Accepted: 12 Oct., 2024    Published: 24 Oct., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Deng Y.L., and Chen H.M., 2024, Precision pest management: IoT and remote sensing in tea plant protection, Molecular Entomology, 15(5): 209-220 (doi: 10.5376/me.2024.15.0025)

Precision Pest Management (PPM) integrates advanced technologies such as the Internet of Things (IoT) and remote sensing to enhance pest control in tea plantations. This study explores how these technologies improve the detection of pest infestations, optimize pesticide use, and reduce environmental impact. IoT sensors provide real-time data on environmental conditions, while Unmanned Aerial Vehicles (UAVs) equipped with multispectral and hyperspectral cameras survey large plantation areas, enabling early pest detection and targeted interventions. The combination of these technologies leads to cost savings, improved crop health, and more sustainable farming practices. The results demonstrate that PPM can significantly reduce pesticide use, improve tea yield and quality, and support long-term environmental sustainability in tea cultivation.

Precision pest management; Tea tree protection; IoT; Remote sensing; UAV