In this paper the ability to estimate the rubber plantation’s leaf area index (LAI) of hyperspectral remote sensing with Hyperion satellite and multispectral remote sensing with Advance Land Image (ALI) satellite were compared. LAI was estimated by NDVI. Many mathematical models such as Linear polynomial Logarithm Exponential and Power functions were used to determine the correlation between NDVI and LAI from field survey. Sixty eight LAI data from field survey was divided half for calibration and half for evaluation data sets. From many mathematical models the power function give maximum R2 both Hyperion and ALI Hyperion give R2 = 0.738 (RMSE = 0.089 m2m-2) and R2 = 0.624 (RMSE = 0.119 m2m-2) for calibration and evaluation datasets respectively and R2 = 0.582 (RMSE = 0.165 m2m-2) and R2 = 0.482 (RMSE = 0.280 m2m-2) for ALI. The result shows hyperspectral remote sensing is suitable to estimate LAI of rubber plantation than multispectral remote sensing

The purposes of this research were : 1) to develop Web-Based Instruction (WBI) on Official Letters part of the Word Processing Applications Subject using Demonstration Technique; 2) to evaluate if the WBI meets Meguigans efficiency criterion; 3) to compare learning achievements of learners before and after studying by the developed WBI; and 4) to evaluate students’ performance after studying the developed WBI. The sampling group recruited with purposive sampling method were 20 second-year vocational certificate students who registered in the second semester of academic year 2012 majors in Business Computer at Bunharn-Jamsai Polytechnic College Suphanburi province. Applied research tools included one unit of WBI’s evaluation form pre-test and post-test learning achievement test and WBI post-test Students’ performance assessment form. Applied statistic tools included Meguigans efficiency value t-test mean and standard deviation (S.D.) Research findings showed that 1) the efficiency of developed WBI was 2.26 which higher than the Meguigans’s standard value at 1.00. 2) post-test learning achievement was statistically significant higher than pretest at .05 3) students’ post-test performance was at good level. We therefore could conclude that the developed WBI can be utilized as teaching material for students with different computer background.

This research aims to students toward the acitivites of the Rajamangala University of Technology Phra Nakhon. And to compare the reviews of students on the activities of Rajamangala University of Technology Phra Nakhon. The samplings for this study were the 386 students in Rajamangala University of Technology Phra Nakhon. All 9 faculty. Accident Sampling The statistics were used namely; percentage mean and standard deviation (S.D) t-test and One-Way ANOVA. The statistical significant level of 0.05 and test on the differences with Seheffe method. The results were as follows : students toward the activities of the Rajamangala University of Technology Phra Nakhon. Found that overall comments to a large extent. When considering by aspects in arranging daily activities that benefit students. The mean maximum. And the implementation of student activities. The lowest average. Hypothesis testing to compare the reviews on the issues and events of Rajamangala University of Technology Phra Nakhon. Found that students gender and the different. Had opinions toward condition and the activities of Rajamangala University of Technology Phra Nakhon. No difference. And Students at different grade. Had opinions toward activities and problems of Rajamangala University of Technology Phra Nakhon. Different at significant level 0.05

The objective of this study is to compare three forecasting methods on three agricultural products consisting of fresh whole chicken (include bone no entrails) red meat pork hip section and Jasmine rice. These methods are Simple Exponential Smoothing method Holt’s method and Winter’s method. Data are colleced for a period of 60 months from January 2007 to December 2011. The most suitable forecasting method are the one that shows no residual autocorrelation and gives the lowest MSE MAPE. The results show that Simple Exponential Smoothing method is the most suitable method on three agricultural products due to this method reveals no residual autocorrelation and displays the lowest MSE MAPE.

The objective of this research was to survey research data of Rajamangala University of Technology Phra Nakho n that was 1) published 2) cited and 3) published with regard to the collaboration of its researchers with those of other universities in both national and international journals during the years 2008-2011. Such related data was collected from journals that appeared in 1) the database of Thailand Journal Citation Index Centre (TCI) 2) Web of Science database (WoS) and 3) RMUTP Research Journal. Analyses applied included social statistics particularly descriptive statistics which were frequency percentage and weighted score from six indicators. From the survey it was found that there were 559 lecturers and researchers in Rajamangala University of Technology Phra Nakhon. 67 out of 559 (12 per cent of the total) had research work published. The most important findings are as follows: 1. During four years (2008-2011) the university had 80 published research articles. 96.25 percent of the total were published nationally and 3.75 percent internationally. The total weight is 52.88 and the weighted score is 9.46. 2. There was only one article that was cited in a national journal in the year 2010 representing 1.25 percent of the total. The total weight is 1.00 and the weighted score is 0.18. 3. There were 18 articles or 22.50 percent of the total that were produced under the collaboration with researchers from other universities. The total weight is 23.00 and the weighted score is 4.11