Please use this identifier to cite or link to this item: http://hdl.handle.net/11607/2621
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dc.contributor.authorAkyüz, Fikri Adnan-
dc.contributor.authorMullins, Barbara-
dc.contributor.authorMorlock, Dallas-
dc.date.accessioned2016-03-18T10:13:51Z-
dc.date.available2016-03-18T10:13:51Z-
dc.date.issued2008-
dc.identifier.citationAkyüz, A. F., Mullins, B., Morlock, D. (2008). Agricultural applications of North Dakota agricultural weather network. International Meeting on Soil Fertility Land Management and Agroclimatology, Special Issue, 17-22.tr_TR
dc.identifier.urihttp://hdl.handle.net/11607/2621-
dc.description.abstractThe North Dakota Agricultural Weather Network (NDAWN) consists of 70 automated weather stations distributed among prime agricultural locations across North Dakota, the Red River Valley, and border regions of surrounding states. The NDAWN Center is a part of the Department of Soil Science, North Dakota State University. The NDAWN stations measure wind speed and direction, air temperature, rainfall, solar radiation, pressure (32 stations), atmospheric moisture and soil temperatures under bare and turf at 10 cm (4 inch) depth. The center provides daily summaries consisting of maximums and minimums as well as time of occurrence, and various totals or averages for all variables in English or metric units. Measured and calculated variables along with complete descriptions are available. The NDAWN Center web site: http://ndawn.ndsu.nodak.edu/ allows direct access to NDAWN data in various special and temporal scales. The voice modem accommodates those who do not have internet access. The NDAWN Center has assisted many North Dakotans in making weather critical decisions concerning their crops, livestock, and livelihood. One direct benefit of NDAWN data was helping to save the 1993-94 potato crops in North Dakota. The stations provide weather data, which was instrumental in developing an agricultural model called the late blight model. This model predicts when leaf disease can occur in potato plants. Late blight doesn’t occur in North Dakota every year and is prevalent during cool and moist periods of weather. In 1993-94, this model predicted that late blight would occur and growers were able to use fungicide applications to prevent the disease. Another direct benefit of NDAWN data is that it provides universities and the National Weather Service with an additional database for research and forecasting applications. Agriculture remains the number one industry in North Dakota and its success will always be dependent on the weather.tr_TR
dc.language.isoengtr_TR
dc.publisherAdnan Menderes Üniversitesi Ziraat Fakültesi Dergisitr_TR
dc.rightsinfo:eu-repo/semantics/openAccesstr_TR
dc.subjectAgricultural Weathertr_TR
dc.subjectAutomated Weather Monitoringtr_TR
dc.subjectAgro-Climatetr_TR
dc.subjectNDAWNtr_TR
dc.subjectNorth Dakotatr_TR
dc.subjectWeathertr_TR
dc.titleAgricultural applications of North Dakota agricultural weather networktr_TR
dc.typearticletr_TR
dc.relation.journalInternational Meeting on Soil Fertility Land Management and Agroclimatologytr_TR
dc.contributor.department231 Walster Halltr_TR
dc.identifier.issueSpecial Issuetr_TR
dc.identifier.startpage17tr_TR
dc.identifier.endpage22tr_TR
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