This research aims to study 1) personal factors affecting the performance of Thai commercial bank employees 2) motivation affecting the work performance of Thai commercial bank employees 3) self-development affecting the work performance of Thai commercial bank employees 4) the work performance of Thai commercial bank employees. The population for this research was 162093 Thai commercial bank employees. The sample size of 383 people was determined using Krejcie & Morgan. The data was collected from Google Form questionnaires. The statistics used to analyze the data were frequency percentage mean and standard deviation. The statistics used to test the research hypothesis were T-test one-way analysis of variance the pair test by the Scheffe method and single linear regression analysis statistics. The results showed that most of the samples were female employees between 21-30 years of age a bachelor’s degree single status income in the range of 15001-25000 Baht and a working period of 5-10 years. The respondents had their opinion level of motivation factors happiness factors and self-development factors affecting the work performance of Thai commercial bank employees. It was found that the sample group had the highest opinion level in the overall opinion level. The results showed that the respondents had an opinion level of the work performance of Thai commercial bank employees. It was found that the sample group had the opinion level as a whole at the highest opinion level. The results of hypothesis test 1 revealed that personal factors such as gender age educational level status income and working in different departments had no effect on the performance of Thai commercial bank employees. Statistically significant at the 0.05 level and personal factors such as differences in the working period. Factors affecting the performance of Thai commercial bank employees at a statistically significant level of 0.05 and personal factors such as age education level income working period. When testing the hypothesis classified by aspects the efficiency of work of Thai commercial bank employees differed. Therefore the difference was tested by pair using Scheffe’s method. The results of hypothesis test 2 revealed that motivation affects the performance of Thai commercial bank employees. The correlation coefficient (R) = 0.858 adjusted R^2= 0.753 was statistically significant at the 0.05 level. The results of hypothesis test 3 revealed that self-development affects the efficiency of Thai commercial bank employees. The correlation coefficient (R) = 0.640 adjusted R^2= 0.40 was statistically significant at the 0.05 level.

The purpose of this research the study of the potential of Suphanburi area for planting investment. In which the researcher has studied the soil data set that is different in each area of Suphanburi. That is quite diverse if divided by each district in Suphanburi province themselves from the basic information report in Suphanburi and the agricultural information of Suphanburi for the year 2017 when comparing with the soil set of Suphanburi it can be seen that the cultivation is quite comprehensive all. The researcher created a model. Mathematical model to calculate production costs and forecasting of plants suitable for cultivation According to the potential of Suphanburi area. In the form of a website for ease of use as much as possible.

Objective of this research is to research intelligent hydroponic vegetable cultivation control system for farmers. This is a group of lettuce that needs acid-base (pH) and conductivity (EC) in the same system on the planting table with Dynamic Root Floating Technique System (DRFT). By using Internet of Things (IoTs) devices as sensors For controlling the on-off system of the water filling system the on-off of nutrient solution A and B as well as the water spray system to reduce the temperature at the vegetable growing table. The developed hydroponic vegetable control system can effectively replace the workers labor. Vegetables grown are of the same quality used by farmers. Therefore the developed salad cultivation system could be used as a substitute for farmers. It has an easy to use control system.

This research is to develop a prototype of a salinity intrusion monitoring system using fuzzy logic to extract salinity values. A system is developed according to a fuzzy logic model using FAOs for appropriate agricultural water quality data considering the electrical conductivity (EC) and total dissolved solids (TDS) as indicators of the salinity value by using the Fuzzy Logic Toolbox to produce and test the generated model. Transformation of the generated models to Embedded C format using the Simulink Coder tool installed in the ARM STM32F microcontroller and a 10-fold cross-validation test was used to validate the data extraction. The Root Mean Square Error (RMSE) for the test results was 0.58175 on average. This research result indicates that the generated model is able to extract data that very closely matches the specified data.

The objectives of this research are to propose an efficient and proper model that fits the cassava and rubber yields data. A generalized estimating equation (GEE) and a linear mixed model (LMM) with spatial correlation following the conditional autoregressive model (CAR) were adopted. The dependent variables are the cassava and rubber yields collected each month in every province of Thailand. The factors considered are rainfall averaged temperatures and regions. The results from GEE and LMM show that the factors influencing on the cassava and rubber yields are rainfall averaged temperature and region. Both GEE and LMM fit the correlated data. The GEE is used to explain the influence of factors on the yields in all provinces while the LMM is used to explain the influence of factors on the yields in each province.