The Photosynthesis Analysis in Different Wavelength LED Lighting Source on Plant Growth

( Chun-yu Tsai ),( Yi-yi Chen ),( Yung-fu Yen ),( Chyung Ay ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

The advancement in agriculture technology and stable environment control in plant factory. The demand of plant growth on the light is a major factor in addition to the nutrient solution. The different plant growth is also different for light wavelength. In this study, NFT (nutrient film technology) cultivation system was used in combination with plant factory, planting two varieties of Boston lettuce and Ziyan lettuce. The light source is the use of different wavelength include red、blue、green and yellow color to plant cultivation. Plant growth observed during plant analysis experiments and the use of photosynthesis analyzer with different CO2 concentrations and light intensity to observe the photosynthesis efficiency analysis. The preliminary experimental results show that the red wavelength of the photosynthetic efficiency had the highest efficiency under the single-source color LED planting. The analysis of the growth of single color LED light sources will be a relatively important reference for the mixing of different wavelength light and increasing the photosynthetic growth of plants.

Feasibility of using Machine to Learn & Analyze Brainwave Signal for Establishing Emotional System

( Wei-tsang Huang ),( Xiang-guan Deng ),( Chun-yu Tsai ),( Chyung Ay ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

「Emotion」 is a kind of psychological experience with delight, anger, sorrow, happiness and fear. This kind of experience is a reflection of ordinary people toward the attitude of objective matters. However, it is not an easy thing to see the emotion of inner heart from the appearance and change in eye or different kind of limb expression. This study is to concretize and digitize the various emotional changes of abstract conception through the brainwave analysis, and become a real-time emotional scale. As classified form the analysis and measured data, it is used as the reference standard for assessing emotion. The experiment is implemented by selecting three (3) different emotional categories of films respectively, including three (3) emotions i.e. scared, happy and inspiring emotions and editing as the visual samples, and let the subjects wearing the electroencephalograph (EEG) instrument of Emotiv EPOC with 14 channels on their heads, and use the Python program for writing to perform the measurement together with the EGG measuring system, after transforming the measured brainwave through the fast Fourier, record the energy change of each band, access the experiment data, find out the change of each band at the regular mood swings, derive the emotional conversion formula for quantification, classify the size of emotional changes, and then make the real-time scale of emotion to show the results. In addition, when the different machine learns and analyzes the test samples, it is found when analyze the T7 channel of brainwave detecting point, the success rate of highest test sample is approximately 58%, the success rate of other channels is over 50%, the more suitable operation mode will be found out in the future, and allow the emotional recognition technology can be used in the life.

Study on Photosynthesis Reaction of Plants at Different Light Wavelengths Mix Ratio under Low Power

( Chun-yu Tsai ),( Xin-yi Lin ),( Yung-fu Yen ),( Chyung Ay ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

The environmental factors such as light, carbon dioxide, temperature, and nutrition are very important and closely related to the stable control of plant growth in plant factories. However, how to configure the light source at different light wavelengths to increase the physiological response of chlorophyll is also a knowledge. In this study, Boston Lettuce and Red Lettuce (Ziyan) were used as samples and planted in the NFT (Nutrient Film Technology) cultivation system. The effects of different light wavelengths combination on photosynthesis were analyzed to find the optimal ratio of light sources. In addition, sample analysis was performed on these two plants to verify the correctness of the light wavelengths combination ratio. The preliminary results show that the green leaves Boston lettuce have the highest photosynthetic efficiency under the combination of the red wavelength (38.4 μmol) + blue wavelength (57.6 μmol) + green wavelength (24 μmol), while the red leaves Ziyan lettuce had the best photosynthetic efficiency under red wavelength (43.2 μmol) + blue wavelength (64.8 μmol) + yellow wavelength (12 μmol). At the end of the experiment, plant sample analysis will be performed using these two ratios of light wavelengths, verifying that the leaves of two different lettuces strains have its most suitable ratio of light wavelengths, allowing plants to grow efficiently, improve yield, quality and other advantages.

Research on the Positioning of Work Machines in Greenhouse Using Bluetooth Low Energy Indoor Detection Technology

( Jian-xin He ),( Cang-qi Li ),( Ming-yen Lin ),( Chyung Ay ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

Outdoor is using a mobile device combined with global positioning system (GPS) for positioning, the most popular application today; and indoor is based on the signal strength of Bluetooth, Wi-Fi, ZigBee and other wireless communication technology as a positioning basis. This research uses a fruit harvester for positioning in a greenhouse. However, the positioning accuracy of GPS in a greenhouse is easily affected and unable to be precise due to obstacles, communication channels, and multiple paths. To solve this problem, this study used iBeacon Bluetooth 4.0 module as a communication device for indoor positioning. In the experiment, ten iBeacons were used as the sending end, placed at various points in the room to serve as a positioning basis, and then installed an iBeacon combined with the Arduino on a fruit harvester as the receiving end. Then use the intensity of the sending and receiving signal as the basis, with the least square method, to calculate the corresponding distance between the signal receiving point and the sending point, and finally estimate the position of the fruit harvester by triangulation. At present, the preliminary experiment results show that, with the classroom as the test space, the indoor positioning success rate can reach 77% within 3 meters of the error value. The same method will be applied to find out the best positioning method for the harvester in the greenhouse.

The Brainwave Observation of Synchronization Spectrum Effect under Stimulation of Homemade Binaural Beats Piano Music

( Ssu-yi Lu ),( Xiang-guan Deng ),( Sheng-shu Huang ),( Chun-yu Tsai ),( Chyung Ay ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

With the pressure of society and the large population of insomnia, the sleep problem is becoming more and more serious as the population ages. This study hopes to replace medicines with music and enable patients to relax and enter sleep more quickly. According to clinical experiments, hemi-sync can relax the body and mind and improve the difficulty of sleep. In this experiment, 3.4Hz binaural beats with three different styles of our own sleeping piano music were tested on college students. Emotiv 14-channel wireless EEG device was used to measure and record, analyze the experimental data and present as the spectrogram. For each music beats style, 30 students were selected to perform listening experiments. Calculated the success rate of hemi-sync generated by EEG device, and compared the degree of influence of the three music pieces on the listeners and the differences of frequency band in EEG. The experiment results showed that the hemi-sync appear, with a success rate of more than 40%. Different styles of binaural beats piano music and hemi-sync provide a variety of styles of self-created beats piano music for the public to choose, to shorten the time required to get into sleep and solve the problem of insomnia. In addition, we must observe the feasibility of hemi-sync to the subjects. Using the machine learning algorithm, it was found that in the F7 of the brain area, the accuracy of using the RF algorithm can reach 70.1%, while using XGB it reaches 70.4%, which means that the detection of correlation of hemi-sync and F7 in EEG can improve the verification of the influence of binaural beats on EEG. It shows a clear picture in the future that the beats music can influence the brain, so that people with insomnia can be treated with the most suitable music.