• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.1 no.1
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• pp.83-89
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• 2020

Methods for detecting the presence of genetically modified (GM) crops are evolving to comply with legislation and to enhance monitoring by biotechnology companies and regulators. In order to cover a broad range of detection methods for a new GM crop, conventional multiplex PCR methods are required. Based on the genetic information on three GM alfalfa varieties (J101, J163, and KK179), which were recently approved in South Korea, we developed a fast, reliable, and highly specific multiplex polymerase chain reaction (PCR) method with basic PCR equipment and inexpensive reagents. To validate and verify the newly developed multiplex PCR method, we applied a limit of detection assay and random reference material analysis. We also monitored the unintentional environmental release of GM alfalfa in South Korea by performing the multiplex PCR analysis with 91 feral alfalfa specimens collected from 2000 to 2018. Our methodology is a sensitive, simple, quick, and inexpensive tool for detecting and identifying three GM alfalfa varieties.

• Proceedings of the Korean Geotechical Society Conference
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• 2008.10a
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• pp.938-945
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• 2008

Rockfall and landslide bring about a great social loss with loss of property such as obstruction of traffic and damage of the crops as well as casualty. The purpose of this study is to develop a mobile equipment for local risk factors detecting of road slope. The mobile equipment is designed to receive the sensing data from the measurement sensors, which are installed to detect the dangerous signs from the slopes, as loaded on a vehicle which is moving around to the places where the sensors are installed. In general, more than one mandatory data logger, which is very expensive, must be installed at each slope for the automatic measuring system, but in case of this developmental system, the inexpensive routine measurement can be performed regardless of the number of slopes due to the single unit of information gathering vehicle. This study is going to develop technologies that are expected to be applied to not only slope but also tunnel and bridges which might have the partial risk and need measuring.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.37-37
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• 2003

Rice is one of the most important crop in the world and is a major export of Thailand. Optical sensors are not useful for rice monitoring, because most cultivated areas are often obscured by cloud during the growing period, especially in South East Asia. Spaceborne Synthetic Aperture Radar (SAR) such as RADARSAT, can see through regardless of weather condition which make it possible to monitor rice growth and to retrieve rice acreage, using the unique temporal signature of rice fields. This paper presents the result of a study of examining the backscatter behavior of rice using multi-temporal RADARSAT dataset. Ground measurements of paddy parameters and water and soil condition were collected. The ground truth information was also used to identify mature rice crops, orchard, road, residence, and aquaculture ponds. Land use class distributions from the RADARSAT image were analyzed. Comparison of the mean DB of each land use class indicated significant differences. Schematic representation of temporal backscatter of rice crop were plotted. Based on the study carried out in Pathum Thani Province test site, the results showed variation of sigma naught from first tillering vegatative phase until ripenning phase. It is suggested that at least, three radar data acquisitions taken at 3 stages of rice growth circle namely; those are at the beginning of rice growth when the field is still covered with water, in the ear differentiation period, and at the beginning of the harvest season, are required for rice monitoring. This pilot project was an experimental one aiming at future operational rice monitoring and potential yield predicttion.

• Korean Journal of Plant Tissue Culture
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• v.25 no.4
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• pp.273-276
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• 1998

Chinese foxglove (Rehmannia glutinosa) is receiving much attention as one of the principal medicinal crops and the crude drug damand expands rapidly. This study was conducted to obtain the basic breeding information of Chinese foxglove. Meristem culture was employed for virus free seedling production and miropropagation. Both Jiwhang 1 and domestic local were severely infected by potexvirus and TMV. Several growth regulators were used for the virus free stock production from Jiwhang 1 and Danyang local. Shoot formation and callus induction from the meristem culture seemed to be influenced by the content of various kinds of plant growth regulators. Kinetin supplement was the most effective on shoot formation and NAA addition was good on callus induction among the treatments. The acquired virus free stocks were confirmed using transmission electron microscope and indicate plants.

• Plant Biotechnology Reports
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• v.2 no.1
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• pp.59-73
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• 2008

Several aspects of photoperception and light signal transduction have been elucidated by studies with model plants. However, the information available for economically important crops, such as Fabaceae species, is scarce. In order to incorporate the existing genomic tools into a strategy to advance soybean research, we have investigated publicly available expressed sequence tag (EST) sequence databases in order to identify Glycine max sequences related to genes involved in light-regulated developmental control in model plants. Approximately 38,000 sequences from open-access databases were investigated, and all bona fide and putative photoreceptor gene families were found in soybean sequence databases. We have identified G. max orthologs for several families of transcriptional regulators and cytoplasmic proteins mediating photoreceptor-induced responses, although some important Arabidopsis phytochrome-signaling components are absent. Moreover, soybean and Arabidopsis genefamily homologs appear to have undergone a distinct expansion process in some cases. We propose a working model of light perception, signal transduction and response-eliciting in G. max, based on the identified key components from Arabidopsis. These results demonstrate the power of comparative genomics between model systems and crop species to elucidate several aspects of plant physiology and metabolism.

• Journal of Korean Society of Rural Planning
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• v.25 no.2
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• pp.75-87
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• 2019

Securing manpower in rural areas is critical to improving the productive potential and overcome challenges caused by changes in the demographic structure and the need for diversification of the rural economy. This underpins the importance of nurturing young farmers in order to enhance the agricultural competitiveness in the rural areas. On the other hand, 42.3% of young farmers under the age of 40, which is the target age of the government-sponsored program to foster young farmers, grow rice. Meanwhile, 42.3% of the farmers are under 40 years of age which is a category of farmers targeted under the government sponsored program to advance rice production. In this study, a bivariate probit model is used to conduct substantive analysis on the potential political interventions that would persuade young farmers in the rural areas to participate in rice production in the 6th industry. In summary, most important factors identified as to influence participation of young farmers in the diversification of crop production are the utilization of information device, land, ownership of agricultural machinery, and the leasing of the cultivating land.

• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.11-16
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• 2019

Wireless sensor network is important for precision farming to monitor the growth environment of crops in open field, but radio signals are susceptible to different types of interference such as weather and physical objects. This paper designs and implements an environmental monitoring and weather forecast acquisition systems for smart field irrigation based on LoRa(Long Range) and then applies it to a test bed. And we evaluate the network reliability in terms of packet transmission success rate by comparing its condition on two criteria; the existence of obstacle or rain. The results show that much rain falls can affect on packet loss in LoRa field networks with obstacles.

• Korean Journal of Remote Sensing
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• v.37 no.4
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• pp.719-731
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• 2021

This study proposes a two-stage hybrid classification model for crop classification using multi-temporal remote sensing images; the model combines feature embedding by using an autoencoder (AE) with a convolutional neural network (CNN) classifier to fully utilize features including informative temporal and spatial signatures. Long short-term memory (LSTM)-based AE (LAE) is fine-tuned using class label information to extract latent features that contain less noise and useful temporal signatures. The CNN classifier is then applied to effectively account for the spatial characteristics of the extracted latent features. A crop classification experiment with multi-temporal unmanned aerial vehicle images is conducted to illustrate the potential application of the proposed hybrid model. The classification performance of the proposed model is compared with various combinations of conventional deep learning models (CNN, LSTM, and convolutional LSTM) and different inputs (original multi-temporal images and features from stacked AE). From the crop classification experiment, the best classification accuracy was achieved by the proposed model that utilized the latent features by fine-tuned LAE as input for the CNN classifier. The latent features that contain useful temporal signatures and are less noisy could increase the class separability between crops with similar spectral signatures, thereby leading to superior classification accuracy. The experimental results demonstrate the importance of effective feature extraction and the potential of the proposed classification model for crop classification using multi-temporal remote sensing images.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.347-351
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• 2022

Farmers E-Market is a website that allows agricultural workers to direct market their products to buyers without the use of a middleman. That theory is blockchain system will be used by authors to accomplish this. The system, which is built on a public blockchain system, supports sustainability, shippers, and consumers. Farmers can keep track of their farming activities. Customers can review the product's history and track its journey through carriers to delivery after making a purchase. Farmers are encouraged to get information about their interests promptly in a blockchain-enabled system like this. This functionality is being used by small-scale farmers to form groups based on their location to attract large-scale customers, renegotiate farming techniques or volumes, and enter into contracts with buyers. The analysis shows the use of blockchain technology with a farmer's portal that keeps the video of trading data of crops, taking into account the qualities of blockchain such as values and create or transaction data. The proposal merges python as a programming language with a blockchain system to benefit farmers, vendors, and individuals by preserving transactions.

• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.673-684
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• 2021

Background and objective: This study seeks to investigate domestic agro-healing farm resources so that preliminary data can be obtained on the systematic provisions for agro-healing programs in order to improve service quality and to identify the quality of agro-healing policy services. Methods: For this study, owners of agro-healing facilities were asked 24 questions via an online survey. An importance-performance analysis (IPA) was conducted to identify service quality for each policy sector. Results: Respondents' satisfaction levels were low when compared to agro-healing farm owners' perceptions of the above-average importance of each sector. The results from the resource analysis of domestic agro-healing farms indicated that the main operational purposes of farms were, in descending order, experience (90.0%), healing (86.7%), and education (84.0%). With respect to the type of program that was operated, cultivating crops (horticultural therapy) was identified most frequently at 83.3%. Conclusion: As a result of this study, the resources possessed by agro-healing farms were identified. In addition, the results of the IPA analysis in terms of service quality are not as good as expected, and performance levels should be increased to improve this. The results of this study are expected to provide useful information not only to improve the quality of agro-healing services, but also to revitalize the agro-healing industry while developing a systematic agro-healing program.