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	Provedor de dados Thai Agricultural (3) Autor Benjamas Rossopa (1) Chitnucha Buddhaboon (1) Duangporn Witoonjit (1) Kingkaew Kunket (1) Kuson Thomma (1) Naruatai Worasatit (1) Nopadon Prayoonsook (1) Panath Jermthaisong (1) Piyaphan Srikum (1) Rapeeporn Srisathit (1) Roengsak Katawatin (1) Sommai Lertna (1) Suppachai Atichart (1) Waraporn Vongboon (1) Yupin Rammanee (1) Mais... Palavra-chave การทำแผนที่ (3) GIS (2) Mapping (2) Rice (2) ข้าว (2) Agricultural potential (1) Alternative (1) Climate change (1) Cropping system (1) Geographic information systems (1) Land capability (1) Land use (1) Northeast region (1) Production technology (1) RADARSAT data (1) Rainy season (1) Rice production (1) Soil fertility (1) Variability characteristics (1) Variation (1) Mais... Tipo do documento PhysicalObject (2) Collection (1) Ano 2013 (2) 2012 (1) País Thailand (3) Idioma Thailandês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última การศึกษาความแปรปรวนของช่วงฤดูฝนในภาคตะวันออกเฉียงเหนือ Thai Agricultural Suppachai Atichart; Naruatai Worasatit; Rapeeporn Srisathit; Kuson Thomma. Uncertainty of the beginning and the end of rainy season which is a result of climate changes from global warming can have a great impact on plant production. This is particularly clear in the Northeast which is mainly rain-fed agriculture. The Office of Agricultural Research and Development Region 3, therefore, studied variation of the beginning and the end of rainy season of the Northeast using rainfall data from Meteorological Station from the year 1981 - 2010, 30 years in total. The data was imported and analyzed using MS Access 2000 and compared to the five-year assessment of spatial data. The analysis of variance was analyzed based on the standard deviation of around 30 years period and spatial mapping was conducted in ArcGIS V9.3. The results showed... Tipo: PhysicalObject Palavras-chave: Rainy season; Climate change; Variability characteristics; Variation; Geographic information systems; GIS; Mapping; Cropping system; ฤดูกาล; ฤดูฝน; การเปลี่ยนแปลงสภาพภูมิอากาศ; ลักษณะความแปรปรวน; ระบบสารสนเทศภูมิศาสตร์; การทำแผนที่; ปริมาณน้ำฝน; รูปแบบการปลูกพืช. Ano: 2013 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5782 การจัดเขตศักยภาพการปลูกข้าวของประเทศไทย: ทางเลือก โอกาส และความท้าทาย Thai Agricultural Chitnucha Buddhaboon; Benjamas Rossopa; Piyaphan Srikum; Sommai Lertna; Waraporn Vongboon; Nopadon Prayoonsook; Duangporn Witoonjit; Yupin Rammanee; Kingkaew Kunket. Zoning of rice production potential in Thai rice area has been conducted from 2000 to 2013. The objectives of the project were 1) to define the potential of rice area in Thailand in term of soil suitability and productivity, 2) to create map of rice production zoning with appropriate recommendation. Methodology to run the project consisted of secondary data collection, field survey, crop cutting, field experiment, and mapping. The research found that total of 12.6 M ha of rice areas in Thailand it was suitable for rice production about 8.2 M ha. Rice soil was more fertile in the central plain as compared to other region. Most of the farmer grew recommended rice varieties. There were three major groups of growing rice variety, jasmine rice, white rice, and... Tipo: PhysicalObject Palavras-chave: Rice; Zoning area; Rice production; Alternative; Land capability; Agricultural potential; Land use; Production technology; Soil fertility; GIS; ข้าว; พื้นที่การจัดเขต; การผลิตข้าว; ศักยภาพการผลิต; การทำแผนที่; การใช้ที่ดิน; ความอุดมสมบูรณ์ของดิน; เทคโนโลยีการผลิต; ข้าวหอม; ข้าวขาว; ข้าวเหนียว; การเพิ่มผลผลิต. Ano: 2013 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5709 การใช้ข้อมูล RADARSAT-1 SAR (standard mode) เพื่อทำแผนที่ แสดงพื้นที่ปลูกข้าวในภาคตะวันออกเฉียงเหนือ Thai Agricultural Roengsak Katawatin; Panath Jermthaisong. This research was conducted to investigate performance of using RADARSAT-1 SAR (standard mode)to map areas of the in-season rice cropping in the northeast region, in each particular year. Three sets of the radar data acquired on different dates, i.e., 4th July, 14th September, and 25th October 2006, were used. The MaximumLikelihood classifier was applied to classify these data based on 2 classification schemes. The scheme #1 included4 classes. Rice cropping areas were divided into 2 classes (Classes 1 and 2) representing 2 major cropping patterns.Class 1 was the areas of rice crop grown around June and harvested after last week of October. Class 2 was the areas of rice crop grown around June and harvested before last week of October. Other classes were... Tipo: Collection Palavras-chave: Rice; RADARSAT data; Northeast region; Mapping; ข้าว; ข้อมูลเรดาร์แซท; การทำแผนที่; พื้นที่ปลูกข้าว; ดาวเทียม; ภาคตะวันออกเฉียงเหนือ. Ano: 2012 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5194 Registros recuperados: 3 Primeira ... 1 ... Última

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