Estimation of wildlife damage from federal crop insurance data
نویسندگان
چکیده
منابع مشابه
data mining rules and classification methods in insurance: the case of collision insurance
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با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
Wildlife Damage Estimation and Prediction Using Blog and Tweet Information
Wildlife damage estimation and prediction using blog and tweet information is conducted. Through a regressive analysis with the truth data about wildlife damage which is acquired by the federal and provincial governments and the blog and the tweet information about wildlife damage which are acquired in the same year, it is found that some possibility for estimation and prediction of wildlife da...
متن کاملFederal Crop Insurance and the Disincentives to Adapt to Extreme Heat
The United States produces 40% of the world’s corn and soybeans. Given its dominant market share, any effect on US production has global repercussions. Annual fluctuations in yields crucially depend on the occurrence of extreme heat as measured by temperatures that exceed 29C and 30C, respectively. We examine whether the highly subsidized US crop insurance gives farmers a disincentive to use al...
متن کامل2007 Crop Insurance Summary
All agricultural producers face recurring risks, significant among them being production risk. Many factors contribute to production risk, including adverse weather conditions such as drought or floods, fires, insects or pests, and disease. These events can devastate a crop, significantly reducing yield and farmer revenue. Since the only way to completely avoid all production risks is to stop p...
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ژورنال
عنوان ژورنال: Pest Management Science
سال: 2020
ISSN: 1526-498X,1526-4998
DOI: 10.1002/ps.6031