• Journal of Bio-Environment Control
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• v.27 no.2
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• pp.147-157
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• 2018

With the rapid development of the 4th industrial revolution, the large-sized facilities of agriculture have been developed with high-technologies. However, it is difficult to maintain the optimum environment in large-sized facilities. Although it is essential to control micro-climate properly in large-sized facilities, there are a lot of problems to utilize high-technologies and equipment because of insufficient education for farmers. Most farms have limitations to access to their farm because of prevention of epidemics, exposure of management know-how, and so on. Especially, it is difficult to understand internal environmental factors (airflow, temperature, humidity, etc.) for farmers because these factors are invisible. Recently, Virtual reality technology which allows users to experience various phenomena directly is attracting attention. Virtual reality is very useful technology to visualize airflow and temperature distribution and so on. However, there is no cases applied this technology to agricultural facilities. In this study, research trends of virtual reality in various fields were investigated. In particular, the limitation and possibility of virtual reality technology were analyzed for educating farmers. Finally, the development of virtual reality contents for smart-farm facility were suggested.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.569-576
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• 2023

An agricultural drones are gradually increasing in utilization due to economic efficiency, and consist of a main frame in charge of flying spray system in charge of moving pesticide to control targets. Therefore, the environment and characteristics of crops should be considered when controlling pesticides using drones and conditions such as systematic flying altitude of flight, speed, and spray time should be changed accordingly. However, pest control work using agricultural drones has different spray effects depending on level the operation proficiency and spray impact. In addition, there are variations in operating standards and control efficiency for agricultural drones, which hinder the distribution of agricultural control drones in the field of pest control work. Therefore, this study attempts to identify the spraying characteristics of agricultural drones, apply the effective spraying time, interval and experimentally verify the system that can calculation of spray area compared to previous studies. Through this experimental verification, it is intended to apply the optimal control process by minimizing the obstacles to pest control work by applying the operation method and systematic figures to agricultural drones.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.141-147
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• 2022

Care farm recently has been introduced as social farm and green care centered on Europe, and has been developing rapidly in the last 20 years. Although it is being introduced gradually in Korea, it is still only at the beginning level, and it does not provide a guide for systematic farm owners' model and operation of the Care farm. In Care farm, advanced countries are making it possible to operate a more common care farm by providing a systematic national guide. By reviewing the literature of these guidelines in advanced countries, the contents are organized to help compose the guidelines for domestic care farm. In Canada, Ireland, the Netherlands, Norway and Finland, the contents of the guidelines for care farm by country can be broadly divided into general matters, how to start a care farm project for farm owners, understanding of target audience, farm organization system, farm management, and farm life. As the demand for care farms increases in Korea as well, guidelines for farm owners should be disseminated to facilitate access to care farms. It is also considered a good way to make a guide by combining it with the medical field, and it seems that it is necessary for the farmer to understand the medical field to some extent.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.9-14
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• 2019

In modern society drones are actively utilized in the fields of security, defense, agriculture, communication and so on. Smart technology and artificial intelligence software have been developed with convergence, and the field of use is expected to expand further. On the point of the excellent performance of drones one of the essential technologies is the wireless communication that make the ground facility receive the video streaming obtained by the drones in the air. In the research the concept of communication region is proposed to cover the both the low altitude region for Wi-Fi communication and the high altitude region for LTE communication for the sake of video transmission. Also the hybrid communication structure is designed along the proposed concept and the proposed system is implemented as a communication system in the small size which can be mounted in a small size of drone. It is confirmed that the proposed system contains the effectiveness by showing the ability to successfully transmit HD video streaming in the range of 500 meters and the transfer time between two different communication systems is measured in 200msec by the experiments.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.6
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• pp.719-729
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• 2017

Recently, the field of agriculture has been gaining a new leap with the integration of ICT technology in agriculture. In particular, smart farms, which incorporate the Internet of Things (IoT) technology in agriculture, are in the spotlight. Smart farm technology collects and analyzes information such as temperature and humidity of the environment where crops are cultivated in real time using sensors to automatically control the devices necessary for harvesting crops in the control device, Environment. Although smart farm technology is paying attention as if it can solve everything, most of the research focuses only on increasing crop yields. This paper focuses on the development of a system architecture that can harvest high quality crops at the optimum stage rather than increase crop yields. In this paper, we have developed an architecture using apple trees as a sample and used the color information and weight information to predict the harvest time of apple trees. The simple board that collects color information and weight information and transmits it to the server side uses Arduino and adopts model-driven development (MDD) as development methodology. We have developed an architecture to provide services to PC users in the form of Web and to provide Smart Phone users with services in the form of hybrid apps. We also developed an architecture that uses beacon technology to provide orchestration information to users in real time.

• Journal of Agricultural Extension & Community Development
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• v.28 no.4
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• pp.203-213
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• 2021

This study aimed to examine the policy priorities to enhance the service quality of the agro-healing for mental health care using Importance-Performance Analysis (IPA). The subjects were 67 people working in mental health institutions. The result of the IPA for the design of the agro-healing policy, in a total of 5 policy areas, the importance and performance were found to be 'above average', and it was confirmed that 'Keep up the Good Work' level. This is thought to have had a positive effect on raising the policy awareness of experts in mental health related institutions as the government's support for agro-healing and R & D increased according to the enactment of the act. Therefore, the results of this study provided basic information on the development and revitalization of agro-healing service quality for mental health care.

• Smart Media Journal
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• v.11 no.2
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• pp.53-62
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• 2022

Due to the accelerated global warming phenomenon after industrialization, the frequency of changes in the existing environment and abnormal climate is increasing. Agriculture is an industry that is very sensitive to climate change, and global warming causes problems such as reducing crop yields and changing growing regions. In addition, environmental changes make the growth period of crops irregular, making it difficult for even experienced farmers to easily estimate the growth stage of crops, thereby causing various problems. Therefore, in this paper, we propose a CNN model for estimating the growth stage of crops. The proposed model was a model that modified the pooling layer of ResNet, and confirmed the accuracy of higher performance than the growth stage estimation of the ResNet and DenseNet models.

• Journal of Advanced Technology Convergence
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• v.3 no.2
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• pp.17-23
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• 2024

In this paper, we analyzed the impact of temperature and precipitation on agricultural product prices and predicted the prices of major agricultural products using TensorFlow. As a result of the analysis, the rise in temperature and precipitation had a significant effect on the rise in prices of cabbage, radish, green onion, lettuce, and onion. In particular, prices rose sharply when temperature and precipitation increased simultaneously. The prediction model was useful in predicting agricultural product price changes due to climate change. Through this, agricultural producers and consumers can prepare for climate change and prepare response strategies to price fluctuations. The paper can contribute to understanding the impact of climate change on agricultural product prices and exploring ways to increase the stability and sustainability of agricultural product markets. In addition, it provides important data to increase agricultural sustainability and ensure economic stability in the era of climate change. The research results will also provide useful insights to policy makers and can contribute to establishing effective agricultural policies in response to climate change.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1212-1214
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• 2012

생장예측모델이란 작물의 생장 시스템 내에서 일어나는 기작이나 생산과정을 수식으로 묘사하는 것이다. 신뢰성 있는 생장예측모델을 만들기 위해서는 생장과 관련된 대량의 데이터가 필요하다. 본 논문에서는 IT와 농업을 융합한 시설 원예작물 생장예측모델을 위한 생장 및 생장환경 데이터 수집 시스템 설계사례를 소개하고자 한다.

• Journal of Practical Agriculture & Fisheries Research
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• v.24 no.1
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• pp.23-28
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• 2022

The centipede is predatory arthropod that form head and numerous segments. It is known that there are about 3,000 species worldwide and 44 species (four species and seven families) in Korea. Among them, Scolopendra subspinipes called "Wang-ji-ne" has been known as an important medicinal resource and its value is expected to increase in the future. In this study, the Scolopendra subspinipes in Korea was classified as Chilopoda through morphological analysis of forcipule and venom gland, and a method for sex determination was established. These results are expected to be used as basic data for artificial breeding of Scolopendra subspinipes in the future, and through this, it is expected that it will greatly contribute to the expansion of the Scolopendra subspinipes market as medicinal resources.