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๐Ÿ‡น๐Ÿ‡ผ Taiwan /Disasters & Emergencies

Late August heavy rains cause over $140 million in agricultural losses in Taiwan; Guavas hit hardest

From Liberty Times · () Chinese

Translated from Chinese and summarized by DistantNews. Read the original for the full story.

At a glance

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  • Taiwan's agricultural sector has suffered losses exceeding NT$140 million due to heavy rains in late August.
  • Chiayi County reported the highest losses at NT$44.1 million, while guavas sustained the most damage among crops, totaling NT$22.32 million.
  • The Ministry of Agriculture has announced disaster relief measures for affected areas and crops, including aquaculture.

Taiwan is grappling with substantial agricultural losses exceeding NT$140 million following heavy rainfall in late August. The Ministry of Agriculture confirmed the figures based on reports from local governments, highlighting the widespread impact of the adverse weather.

Chiayi County bore the brunt of the damage, with agricultural losses reaching NT$44.1 million. Other severely affected areas include Yunlin, Pingtung, Tainan, and Kaohsiung. Among the various crops, guavas suffered the most significant losses, amounting to NT$22.32 million. Papayas, scallions, peanuts, and bamboo shoots also sustained considerable damage.

Beyond crop damage, the rains also impacted the fisheries sector, with losses estimated at NT$18.69 million, primarily affecting milkfish and marble goby. Livestock also saw losses, mainly affecting chickens. Damage to private facilities was reported at NT$3.05 million.

In response to the disaster, the Ministry of Agriculture has declared several areas eligible for cash assistance. This includes all agricultural products and livestock in Chiayi, Tainan, Kaohsiung, and Pingtung, excluding animal sheds. Aquaculture farms in Tainan, Kaohsiung, and Pingtung will also receive disaster relief to aid farmers in resuming their operations.

About this summary

Originally published by Liberty Times in Chinese. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.