---
id: 20260902-T0-19
title: "Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations"
url: https://ai.daily.yangsir.net/daily/20260902-T0-19
issue_date: 2026-09-02
publish_date: 2026-09-01T04:00:00.000Z
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2608.27480
---

# Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations

arXiv:2608.27480v1 Announce Type: new Abstract: Tea plantations are vulnerable to Postelectrotermes militaris, commonly known as the Upcountry Live Wood Termite (ULWT), which can cause substantial damage when infestations remain undetected. This study proposes an IoT-enabled acoustic monitoring fram

---

**来源**：[arXiv cs.AI](https://arxiv.org/abs/2608.27480)

**详情页**：https://ai.daily.yangsir.net/daily/20260902-T0-19

---

*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*