Booming Blooming: When Can You Enjoy Flowering Season?

Yun-Chiao Cheng, Yan-Hung Chou, Chia-Yu Lin
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Abstract

The blooming season is a crucial aspect of tourism in Taiwan, but it is subject to annual variations caused by weather factors such as rainfall and temperature. While many AI models are on the market for predicting flowering, they often need more applicability to specific regions due to climate variations. Moreover, Taiwan’s climate is known for being changeable, which can further complicate flower prediction. Using Taiwan’s climate and flowering date as training parameters, our model can achieve significantly higher accuracy than models that do not incorporate Taiwan’s climate information. This paper presents an App called "Booming Blooming," which integrates a flower prediction model with real-time weather information. The App utilizes weather data from Taiwan’s Central Weather Bureau to predict the optimal time for flower viewing and provides users with up-to-date weather forecasts. With this App, users can plan their flower-viewing trips more effectively. Moreover, the App includes a built-in Google map to assist users in locating nearby stores, traffic conditions, and other people at popular flower-viewing locations. Additionally, Booming Blooming offers a flower-sharing platform where users can share the latest information on flower blooming conditions. Overall, the proposed flower blooming prediction model and App provide a convenient and efficient way for Taiwanese to enjoy flower-viewing activities.
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繁花似锦:什么时候能享受花季?
花季是台湾旅游业的一个重要方面,但它受降雨和温度等天气因素的影响,每年都有变化。虽然市场上有许多人工智能模型用于预测开花,但由于气候变化,它们通常需要更适用于特定地区。此外,台湾的气候以多变而闻名,这可能会使花卉预测更加复杂。以台湾气候和花期作为训练参数,我们的模型比没有纳入台湾气候信息的模型具有更高的精度。本文介绍了一款将花卉预测模型与实时天气信息相结合的应用程序“盛开”。该应用程序利用台湾中央气象局的天气数据来预测赏花的最佳时间,并为用户提供最新的天气预报。有了这款应用,用户可以更有效地规划自己的赏花之旅。此外,这款应用还内置了谷歌地图,可以帮助用户定位附近的商店、交通状况以及热门赏花地点的其他人。此外,蓬勃盛开提供了一个鲜花共享平台,用户可以分享最新的鲜花盛开情况的信息。总体而言,本文提出的花卉盛开预测模型和App为台湾人享受赏花活动提供了一种便捷、高效的方式。
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