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Proposal for a System to Estimate the Best Time to See Yellow Leaves Using IoT Devices for Tourists

Authors:
Takumi Kitayama
Kenji Terada
Masaki Endo
Tsuyoshi Tanaka
Shigeyoshi Ohno
Hiroshi Ishikawa

Keywords: Yellow Leaves Tourism; Internet of Things; Artificial Intelligence; Estimating

Abstract:
Japan's diverse topography results in distinct seasonal landscapes, which are a significant draw for tourists. Among the numerous natural attractions, the autumnal coloration of foliage is popular. However, the phenological timing of leaf senescence and abscission varies considerably across different geographical locations. Consequently, visitors should be disappointed by arriving either before the onset of yellowing or after leaf fall. To address this issue, we propose a system for the estimation of autumnal leaf coloration timing. The system leverages Internet of Things (IoT) devices to collect environmental data, including photos of ginkgo trees and insolation conditions. This data is subsequently processed to predict the near-future timing of leaf yellowing and subsequent abscission. A prototype demonstration system was developed, and its effectiveness in predicting the target phenological events was confirmed through empirical evaluation.

Pages: 1 to 4

Copyright: Copyright (c) IARIA, 2025

Publication date: May 18, 2025

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-68558-279-1

Location: Nice, France

Dates: from May 18, 2025 to May 22, 2025