The purpose of the Environment Control System for radish with Internet of Things project is to control the environment of radish cultivation in a planting house. The working process of this project is separated into two parts. The first part hardware control is to control temperature moisture and illustrated the working status on LCD. The second part software control is collected data from all sensors and then published results on the website via MQTT protocol. The Environment Control System for radish with Internet of Things project is evaluated by measuring the value of temperature and soil moisture from the system compare with the value from reliable instruments. The test results show that the system can measure the temperature and soil moisture correctly. Moreover the software function of the system has fulfilled the requirements.

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 purposes of this research were 1) to study organic rice production of Praknamdaeng Community Amphawa Samutsongkhram 2) to investigate explicit knowledge of organic rice plantation in Praknamdaeng Community and 3) to discover guidelines on promotion to grow organic rice for food security of Praknamdaeng Community. The population groups were agricultural government officials and Praknamdaeng’s farmers. The research tool was interview analyzed by content analysis. The results revealed as follows: 1) According to organic rice production of Praknamdaeng Community there were 288 hectares (1800 rais in Thai) rice-growing areas and 90 farmers’ families in villages 2 3 4 and 6. The land was full of clay not flooded and in the downstream irrigation area. The weather was humid because it was near the sea. There were many different types of rice varieties grown in Praknamdaeng Community namely; Khao Leuang Patew Chumphon Pathumthani fragrant rice RD 31 Suphan Buri 1 RD 59 RD 47 Sangyod Maung Phatthalung rice Aromatic Black (Hom–nin) rice and Riceberry rice. Rice farming process was mostly taught by villages’ ancestors or experts through learning by doing and working together. The problem of traditional rice growing was soil degradation. The organic rice cultivation in Praknamdaeng Community began in 2005. Khao Leuang Patew Chumphon the loca rice was highly grown. Nowadays 70 percentage of the land was full of GAP organic rice production. The biggest problem for the farmers in the community was drought. 2) As for the appropriate knowledge of organic rice production in Praknamdaeng Community the rice farming processes between traditional and organic rice growing were not different. In the case of organic rice production bio-chemicals were used as herbicides and pesticides but the amount of chemical substances was reduced and only used in a short period for safe. 3) Due to guidelines on promotion to grow organic rice for food security of Praknamdaeng Community there were some guidelines for the 2 groups: farmers and community. The guidelines for the farmers were 1) the pursuit of knowledge or transfer of knowledge to the farmers 2) establishing the learning center of organic rice production in the community by chemical-free cultivation 3) providing organic rice paddy demonstration plot for learning 4) preparing the local people to understand and be volunteers for organic rice cultivation 5) developing farmer organization and 6) promoting comprehensive marketing. The guidelines for the community were 1) in the aspect of the quality of life organic rice consumption has to be promoted for the local people and for food security in the future 2) in the aspect of promotion of farmer career organic rice products can be more value-added make pride and more money for the community 3) systematic community enterprise management 4) support for the networks of producers food processing and distribution of organic rice among other communities and provinces. In the aspect of food security the farmers firstly focus on farmer career stability because they consider it as one of the important careers to produce food to the society. Moreover standard qualified products and suitable demand and supply are included.

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.