Agricultural Disaster Prevention System: A Review of the Strategies in Taiwan

农业 业务 环境规划 风险分析(工程) 地理 考古
作者
Ming‐Hwi Yao,Yung-Heng Hsu,Ting-Yi Li,Yung-Ming Chen
标识
DOI:10.20944/preprints202402.1513.v1
摘要

Agriculture is an industry that heavily relies on the environment. The increasing frequency of ex-treme disasters attributable to climate change has adversely affected agricultural land and dis-rupted the stability of the supply of agricultural products. Therefore, we implemented a research program focused on current strategies for adapting to agricultural meteorological disasters. The primary goal was to actively promote disaster prevention information and techniques through information platforms and applications and to provide refined forecasting and an early warning system to enhance preparedness for and recovery from agricultural disasters. This initiative can transform passive mitigation into dynamic action by disseminating crucial information to farmers. We integrated meteorological data and crop characteristics to develop disaster prevention strate-gies for the predisaster, during-disaster, and postdisaster stages to empower farmers to implement autonomous disaster prevention, ensuring their profitability and minimizing the impact of disas-ters. This paper presents an agricultural disaster prevention system involving cross-disciplinary collaboration to establish an early warning system for crop disasters. However, the effectiveness of the early warning system relies on the availability of complete meteorological and crop infor-mation, necessitating high-density agricultural meteorological stations, refined weather forecast services, historical crop damage data, and ongoing research and development on disaster preven-tion technology. In the system, a diversified social media interface is used to provide local farmers with weather forecast information. When impending disasters are identified, the platform acti-vates disaster prevention measures to reduce agricultural losses. This article paper introduces Taiwan’s agricultural disaster prevention system as a complete disaster prevention strategy.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
今后应助xinxin采纳,获得10
刚刚
笑哈哈发布了新的文献求助10
1秒前
万能图书馆应助Xinyuan采纳,获得10
1秒前
1秒前
斯文败类应助hnwang98采纳,获得10
1秒前
2秒前
希望天下0贩的0应助lala采纳,获得10
2秒前
圆圆发布了新的文献求助10
2秒前
2秒前
2秒前
优美谷兰发布了新的文献求助10
2秒前
2秒前
领导范儿应助风琴采纳,获得30
2秒前
3秒前
3秒前
2220190143完成签到 ,获得积分10
4秒前
英姑应助www采纳,获得10
4秒前
4秒前
王智慧完成签到,获得积分20
4秒前
4秒前
Mu丶tou完成签到,获得积分10
5秒前
5秒前
傅双庆发布了新的文献求助50
6秒前
合适的修洁完成签到,获得积分10
6秒前
西柚完成签到,获得积分10
6秒前
小蘑菇应助贺兰采纳,获得10
6秒前
汉堡包应助位伟采纳,获得10
6秒前
7秒前
7秒前
7秒前
8秒前
002发布了新的文献求助10
8秒前
明镜发布了新的文献求助10
8秒前
wwwkj完成签到,获得积分20
8秒前
zhenya完成签到,获得积分10
9秒前
9秒前
10秒前
dfhjjj完成签到 ,获得积分10
10秒前
obca完成签到,获得积分20
10秒前
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6039493
求助须知:如何正确求助?哪些是违规求助? 7769519
关于积分的说明 16226592
捐赠科研通 5185413
什么是DOI,文献DOI怎么找? 2774985
邀请新用户注册赠送积分活动 1757794
关于科研通互助平台的介绍 1641919