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ความน่าเชื่อถือและการประเมินศักยภาพของแบบจำลอง i_EPEC ในการประเมินการผลิตข้าวของประเทศไทย Thai Agricultural
Noppol Arunrat; Nardsuda Phoomjamnong.
Interactive EnvironmentalPolicy Impact Calculator (i_EPIC) model is an important tool for future agriculture and food security in Thailand. Its application requires both the identification of errors and the assessment of reliability and potential of the i_EPIC model and GIS technique in simulating rice yields. Rice yields estimated by EPIC (version 0509) were compared with agricultural statistics reports from Thailand’s Office of Agricultural Economics (OAE), Ministry of Agriculture and Cooperatives (MOAC). Validation of rice yield data proved to be satisfactory: the mean relative error (MRE %) for major rice (rainy season) being 11.77, mean absolute error (MAE %) 1.22 and root mean square error (RMSE %) 43.06. The corresponding errors for second rice (dry...
Tipo: Collection Palavras-chave: Rice; EPIC0509; I_EPIC model; GIS; Thailand; ข้าว; ระบบสารสนเทศทางภูมิศาสตร์; การประมาณการผลผลิต; แบบจำลอง; ประสิทธิภาพการทำงาน; ความน่าเชื่อถือ; ประเทศไทย.
Ano: 2012 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5325
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การประยุกต์ใช้ภาพถ่ายดาวเทียมธีออสเพื่อประเมินเนื้อที่ปลูกข้าวนาปี ในจังหวัดเชียงรายและแม่ฮ่องสอน Thai Agricultural
Piyapan Srikoom; Amornrat Intrmun; Nong-Nouch Pradit; Kingkaew Kunket.
In the Upper North of Thailand, the biggest wet season rice area is Chiang Rai province whereas the smallest is Mae Hong Son. In each year the rice area data from each organizes are different. Application of geographic information technologies by translating THEOS satellite image is one of channel for the classification of rice-growing areas of the two provinces. It can be use to predict the rice yield as well as use for the data base for rice research in Chiang Rai and also rice production for food security forecast of Mae Hong Son province. The implementation of Chiang Rai rice growing area is total 1,245,342 rais, with quite similar to the statistic data from the Bureau of Agricultural Economics in 2010 with amount of 1,261.022 rais, both different in...
Tipo: PhysicalObject Palavras-chave: Wet season rice; Satellite image; THEOS satellite; GIS; Chiang Rai province; Mae Hong Son province; ข้าวนาปี; ภาพถ่ายดาวเทียม; ดาวเทียมธีออส; ระบบสารสนเทศทางภูมิศาสตร์; พื้นที่ปลูกข้าว; ผลผลิต; การพยากรณ์; จ.เชียงราย; จ.แม่ฮ่องสอน.
Ano: 2013 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5611
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