The intangible desire to explore the mysteries of the universe has driven numerous advancements for humanity for centuries. Extraterrestrial journeys are becoming more realistic as a result of human curiosity and endeavors. Over the years, space biology research has played a significant role in understanding the hazardous effects of the space environment on human health during long-term space travel. The inevitable consequence of a space voyage is space ionizing radiation, which has deadly aftereffects on the human body. The paramount objective of this study is to provide a robust platform for performing biological experiments within the Earth's stratosphere by utilizing high-altitude balloons. This platform allows the use of a biological payload to simulate spaceflight missions within the unique properties of space that cannot be replicated in terrestrial facilities. This paper describes the feasibility and demonstration of a biological balloon mission suitable for students and scientists to perform space biology experiments within the boundary of the stratosphere. In this study, a high-altitude balloon was launched into the upper atmosphere (∼29 km altitude), where living microorganisms were exposed to a hazardous combination of UV irradiation, ultralow pressure and cold shock. The balloon carried the budding yeast Saccharomyces cerevisiae to investigate microbial survival potential under extreme conditions. The results indicated a notable reduction in biosample mortality two orders of magnitude (2-log) after exposure to 164.9 kJ m−2 UV. Postflight experiments have shown strong evidence that the effect of UV irradiation on living organisms is stronger than that of other extreme conditions.

Thailand's agriculture is economically remarkable but most of agriculturists and farmers, on the contrary, have significantly low profit. Nowadays, technology is used to solve many agricultural problems, especially analyze area to find the most suitable crops and area for efficient growth rate of crops. Agricultural Exploration Assistant Satellite or AEASat is the CanSat prototype that participated in Thailand CanSat Competition 2018 and received The First Place Winner and The Best Presentation Awards. The goals of AEASat are to study environmental growth factors (temperature, relative humidity, average rainfall, carbon dioxide intensity, red and blue light intensity) of six Thai economic crops (rice, cassava, maize, sugarcane, rubber tree, palm) and find the most suitable area for many agricultural actions. The first mission of AEASat takes place in Chai Badan, Lop Buri Province, Thailand. Electronic structure of AEASat is categorized into four floors respect to their functions: sensors floor, main controller floor, data logger and wireless communication floor, and power management floor. Another part of the mission is the ground unit. The ground unit also collects environmental factors including light intensity which AEASat does not collect. The last part of the mission is ground station. The function of the ground station is receiving data from AEASat with wireless 488-MHz-frequency LoRa module. The ground station is also used to track AEASat from deployment to a touchdown. Qualitative data and quantitative data are analyzed with different methods. The qualitative data is evaluated to find the growing suitability in the area by using Geographic Information System (GIS) software. Aerial photograph, a part of qualitative data, is analyzed by visual interpretation. The quantitative data is analyzed by calculating average of the correlation coefficients of six factors by using MATLAB. It is calculated in order to find the most suitable crop out of six to grow in the area. As a result, sugarcane is the most suitable crop to grow in Chai Badan area. Agriculturists and farmers can have access to website which the results, detail, and description of the exploration are uploaded. In conclusion, if agriculturists and farmers grow the crops as advised, they can expect more products quantity.

For over five years of continuous development, the “Passenger” project, Thailand’s first high school student-operated high-altitude balloon testing platform for scientific research and experiments, has incorporated innovations in nanosatellite technology, specifically CubeSats, aim ing to enhance engineering skills through advanced space projects. Participated in by more than 100 students and over 20 public and private organizations across Thailand, the project is operated by high-school students from the “SPACE AC Institute of Technology, Assumption College” and supervised by specialists in the field. The project consists of three phases: (1) Technological Infrastructure Development (2019–2021), focusing on the research and development of CubeSats, as well as frameworks to fulfill the primary mission in collaboration with various universities; (2) Balloon Platform as a Service (BPaaS; 2022–2024), introducing CubeSat specialization for each mission from different agencies; (3) Outreach and Networking (2023–present), aimed at creating a model for the development of young engineers through CubeSat projects. Mechanical, electronics, software, and operational teams joined to integrate CubeSats, capturing atmospheric data, radiation, and the physical flight profile of the balloon. Most designs were downscaled from space-grade hardware, including atmospheric sensors, inertial measurement units, and wireless communication modules. They typically operate for 60 to 180 minutes with up to 40 km altitude and 200 km range depending on the mission. Some of the technologies developed in the project were adopted in external projects. These include a high-performance electrical power subsystem (EPS), low-power wireless communication hard ware, microcontroller programming libraries, in-house open-source software, design footprints, and experiences gained from the project.

Thailand's agriculture is economically remarkable but most of agriculturists and farmers, on the contrary, have significantly low profit. Nowadays, technology is used to solve many agricultural problems, especially analyze area to find the most suitable crops and area for efficient growth rate of crops. Agricultural Exploration Assistant Satellite or AEASat is the CanSat prototype that participated in Thailand CanSat Competition 2018 and received The First Place Winner and The Best Presentation Awards. The goals of AEASat are to study environmental growth factors (temperature, relative humidity, average rainfall, carbon dioxide intensity, red and blue light intensity) of six Thai economic crops (rice, cassava, maize, sugarcane, rubber tree, palm) and find the most suitable area for many agricultural actions. The first mission of AEASat takes place in Chai Badan, Lop Buri Province, Thailand. Electronic structure of AEASat is categorized into four floors respect to their functions: sensors floor, main controller floor, data logger and wireless communication floor, and power management floor. Another part of the mission is the ground unit. The ground unit also collects environmental factors including light intensity which AEASat does not collect. The last part of the mission is ground station. The function of the ground station is receiving data from AEASat with wireless 488-MHz-frequency LoRa module. The ground station is also used to track AEASat from deployment to a touchdown. Qualitative data and quantitative data are analyzed with different methods. The qualitative data is evaluated to find the growing suitability in the area by using Geographic Information System (GIS) software. Aerial photograph, a part of qualitative data, is analyzed by visual interpretation. The quantitative data is analyzed by calculating average of the correlation coefficients of six factors by using MATLAB. It is calculated in order to find the most suitable crop out of six to grow in the area. As a result, sugarcane is the most suitable crop to grow in Chai Badan area. Agriculturists and farmers can have access to website which the results, detail, and description of the exploration are uploaded. In conclusion, if agriculturists and farmers grow the crops as advised, they can expect more products quantity.

A CanSat is a miniaturized simulation model of a real satellite, enclosed within a cylindrical structure, operating under atmospheric conditions, mainly used for various purposes, one of which includes a deployable delta-wing aircraft payload enclosed in a CanSat container, consisting of major subsystems including mechanical, communication and electronic subsystem. The CanSat is then launched into an atmosphere at the altitude of 700 meters by a rocket or deployed from an unmanned aerial vehicle. The missions of study are to measure data from telemetry sensors and to implement the GNC method for wayfinding by interpolating the marked coordinates for smooth path and extrapolating for next point prediction and by implementing a convex hull algorithm to create an exploration route within a study area. In comparison to a quadcopter or similar alternatives, a delta wing has significantly lower energy consumption as the wings are used as main lift for this type of subsonic aircraft and has more compactness, hence able to fit in rocket and deploy at higher altitude. The model is a scaled-up prototype based on the requirements of CanSat Competition 2020 which surpassed Critical Design Review round. The delta wing is deployed from a CanSat container and provoke a thrust for an airfoil to generate a lift and forward speed; the direction is controlled by adjusting aerodynamic properties of the delta wing. The GNC system implemented in a delta wing is widely applied in the exploratory field of study including area survey and observation for analytical purposes. This paper will elaborate the development, design, analysis, comparison and applications of the navigation system and the delta-wing.

Agricultural Exploration Assistant Satellite, A.E.A.Sat, is a CanSat (can-sized satellite model) prototype which is created for three special purposes: studying environmental factors that affect the crops growth, exploring the most suitable areas for various types of agricultural actions, and advising agriculturists and farmers. It is originally utilized for Thai economic crops as it was created for participation in Thailand CanSat Competition 2018. The first mission took place in Chai Badan, Thailand, and thereafter the result indicated that sugarcane was the most suitable crop to be planted. The team later got involved in Russia CanSat Competition 2018 as the representative team of national winner. The second prototype was later designed for greater performance, accuracy, precision, size, and weight. Raspberry Pi Zero W was used instead of Arduino Pro Mini as a processor. It recorded quantitative data: temperature, relative humidity, and light intensity, along with Vladimir annual rainfall data. Aerial imageries were taken and used in qualitative analysis. The ground station software: LabView, Google Earth, and MATLAB was also utilized for handling both types of data. The department or, specifically, farmers can access and use the analyzed data via the website which the details were published. In summary, farmers and agriculturists could expect more products quantity with the aid of the data.