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.

This research is the development of an energy - saving water planting kit. The objective is to develop a prototype of an energy - saving water planting kit by applying solar energy as an energy source that is controlled by the Arduino board through a blynk application and study the efficiency of the water culture planting kit. By comparing electricity usage rates between solar energy and electric power from the household. In this study there were 4 experimental sets. The experiment was water cultivation without installation 2 experimental sets and 2 experimental sets were installed using green salad vegetables. In research the 45 days growth period consisted of leaf length and width root length number of leaves and height. There is also a comparison of the efficiency of AB fertilizer and soy milk hormones to reduce chemical usage. The research has shown that the use of the soybean milk hormone provided a high growth rate of Lactuce sativaVar. Longifolla than AB fertilizer. There are many nutrients but only in small amounts. When used as a nutrient for plant growth needs to be changed daily. Considering the economic value using AB fertilizer as a nutrient will be worth more than soy milk hormones. For the installation of the instruction set and the LED lamp was suitable for Lactuce sativaVar. Longifolla growing than not installing the instruction set and the LED lamp. These can save electricity cost of 85 baht per month.

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.

The Chabot application aims to promote Ecotourism in Bang Phae District Ratchaburi. The application has been developed by modern information technologies such as Artificial Intelligence (AI) and Natural Language Processing (NLP) via Dialogflow program and LINE application. The application consists of three main components: User interface Entities and Fulfillment engine and Intent. A usability test was conducted to evaluate the user experience in terms of effectiveness efficiency and satisfaction with which participants perform tasks when using the application. Consequently the participants were asked to complete the survey. The result shows that the overall user satisfaction score remains high (x̅ = 3.80). However the ability to communicate effectively scored lowest (x̅ = 3.66)