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Abstract of Applied Sciences and Engineering

August 2016, Volume 10, 10, pp 6

Yield Estimation Model based on Time Series, Satellite and GPS

Osman YILDIZ

Osman YILDIZ 1

  1. Karabuk University, Engineering Faculty, Mechanical Engineering Department, Balıklar Kayası Mevkii, Karabük, Turkey 1

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Abstract:

Todays, in most of the countries, the agricultural production is estimated by direct measurements or surveys depends on human source. However, the production could be estimated within some statistical error and this error can be corrected by statistical aprooach.
Within these study, our aim is to create a model for estimating crop production in the corresponding period scale of a country or region and in particular agricultural field by satellite view and coordinate system data measured by GPS. In this study, the latest ten-year yield production data in a time span before and/or vegetation time. The functions involved in the study are listed as atmospheric parameters including temperature, evaporation, precipitation, sunshine duration, wind direction and climatic parameters such as intensity; soil parameters including temperature and soil moisture; administrative recordings including plant height, texture and spectral characteristics of RGB color distribution and other data sets including area, agricultural yields, production quantity and the unit amaount of seeding.  The analyses have shown that, the estimation has including some errors. And these erors can be corrected by some statistical aprroach. The annual base estimation has also considered in the study. The series has some fluctuations and the main reasons are also correlated with atmospheric conditions. The weather, soil moisture, sunshine are all important parameters for the growth of agricultural yields.

Keywords:

Agricultural time series, GPS and Satellite, Yield estimation model.

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