منابع مشابه
Provisional Estimate of Crop Loss in Sugarcane Caused by Nematodes
Results of more than 130 field trials with nematicides, principallyaldicarb, weregroupedaccordingto the claycontent and parent material of the soil on which the trials were conducted. An estimate of loss in yield due to nematodes was obtained by extrapolating from the results of the field trials to the total area under sugarcane on each soil group. Crop loss per unit area was greatest on the Re...
متن کاملmodeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
Evaluation of Approaches to Identifying Hail Damage to Crop Vegetation Using Satellite Imagery
During the growing season in the central United States, severe thunderstorms frequently occur and produce large hail that damages the underlying vegetation, often in agricultural areas. Satellite remote sensing provides a tool for identifying these damaged areas. Previous studies have used changes in the normalized difference vegetation index (NDVI) to identify and examine these areas of damage...
متن کاملUsing Neural Networks with Limited Data to Estimate Manufacturing Cost
Neural networks were used to estimate the cost of jet engine components, specifically shafts and cases. The neural network process was compared with results produced by the current conventional cost estimation software and linear regression methods. Due to the complex nature of the parts and the limited amount of information available, data expansion techniques such as doubling-data and data-cr...
متن کاملIntegrating Remotely Sensed Data with an Ecosystem Model to Estimate Crop Yield in North China
This paper describes a method of integrating remotely sensed data (the MODIS LAI product) with an ecosystem model (the spatial EPIC model) to estimate crop yield in North China. The traditional productivity simulations based on crop models are normally sitespecific. To simulate regional crop productivity, the spatial crop model is developed firstly in this study by integrating Geographical Info...
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ژورنال
عنوان ژورنال: Journal of Applied Meteorology
سال: 1997
ISSN: 0894-8763,1520-0450
DOI: 10.1175/1520-0450(1997)036<1202:sdtech>2.0.co;2