• Korean Journal of Organic Agriculture
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• v.18 no.4
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• pp.511-526
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• 2010

We need fundamental plan to develop Environment-friendly agriculture which has essential effect to agriculture and rural community. It should be avoided the structural problem that the farming corporations has gone through in present. Firstly, it needs to be systematized and constructed farming complex for the priority. The government initiated Environment-friendly agriculture business and expanded agriculture business as the part of the policy. There are some researches which have been studied the systematization and the construction of farming complex. It is suggested and mentioned various kinds of policies and directions so far. But, it is not mentioned any practical models. That means it seems to be various differences between each farming corporations in the structural cases. This research suggests the most optimized model of Environment-friendly agriculture by analyzing structural differences between 'Natur' farming Corp and 'Sancheong-gun' expanded Environment-friendly farming complex.

• Korean Journal of Remote Sensing
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• v.34 no.4
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• pp.611-624
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• 2018

The percentage of moisture content in rice before harvest is crucial to reduce the economic loss in terms of yield, quality and drying cost. This paper discusses the application of artificial neural network (ANN) in developing a reliable prediction model using the low altitude fixed-wing unmanned air vehicle (UAV) based reflectance value of green, red, and NIR and statistical moisture content data. A comparison between the actual statistical data and the predicted data was performed to evaluate the performance of the model. The correlation coefficient (R) is 0.862 and the mean absolute percentage error (MAPE) is 0.914% indicate a very good accuracy of the model to predict the moisture content in rice before harvest. The model predicted values are matched well with the measured values($R^2=0.743$, and Nash-Sutcliffe Efficiency = 0.730). The model results are very promising and show the reliable potential to predict moisture content with the error of prediction less than 7%. This model might be potentially helpful for the rice production system in the field of precision agriculture (PA).

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2016.09a
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• pp.11-14
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• 2016

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.276-283
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• 2024

Currently, the overall tendency for green and sustainable economic development is creating a circular economy. In actuality, agricultural output is currently benefiting greatly from the growth of the circular economy. The creation of a circular economy helps address resource scarcity, save the environment, combat climate change, and increase economic efficiency. Vietnam's economy can grow quickly and sustainably by shifting to a circular economy production model. Comparing prior growth techniques to the digital age and implementing circular economic development connected with high technology will be a fantastic opportunity to boost growth efficiency. In actuality, Vietnam currently has a large number of agricultural circular economy models. These are models: Creating and using gas from waste and wastewater in livestock and farming; model combining cultivation, livestock, and aquaculture; agro-forestry model; garden-forest model; Circular model using agricultural by-products as a catalyst or creating other valuable products; model of moderation, linked to reducing the use of growth hormones, veterinary medications, pesticides, and artificial fertilizers in agriculture and animal husbandry. Unfortunately, there have been few studies and applications of the aforementioned models, which has made it difficult to build the agricultural sector sustainably. In this paper, we outline the current situation and propose solutions to develop a circular economy model in agriculture in Vietnam for sustainable development.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2016.09a
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• pp.64-68
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• 2016

• Agribusiness and Information Management
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• v.2 no.1
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• pp.15-29
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• 2010

Recently, IPTV population is growing by leaps and bounds. and We performed FGI(Focus Group Interview) with various experts related to agriculture field to establish Agriculture and Fisheries special channel. this growth has social background that is change of paradigm caused by the convergence of broadcasting, demand for Agriculture and Fisheries special channel using new media thanks to interests in Wellbeing, Green food. so we think that we need to consider the way to establish Agriculture and Fisheries special channel and its validity from all angles. that is why we are having a heated discussion with Agriculture and Fisheries marketing experts, farmer, fisher(Korean Cyber Farmer Association), broadcasting experts. Concretely, government budget is needed to establish Agriculture and Fisheries special channel, so we are just about to examine its validity and find business model. to make this discussion detailed, we made 4 subjects. First, Do we need agro-fishery products distribution channel using media? Second, After establishing of Agriculture and Fisheries special channel, how many demands will occur? Third, Should we make Agriculture and Fisheries special channel public channel? Fourth, What would be profit model of Agriculture and Fisheries special channel?

• Korean Journal of Organic Agriculture
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• v.27 no.3
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• pp.271-288
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• 2019

It has continuously promoted to scale up the agricultural management body in order to cope with the market-opening pressure such as the UR negotiation, the DDA negotiation, and more conclusions of FTAs and to enhance the competitiveness of our agriculture. This study evaluated the factors associated with production organization participation centered on environmentally-friendly agriculture farmers in order to improve the production efficiency of environmentally-friendly agriculture in the aspect of production. In order to achieve this objective, this study evaluated the factors that contributed to participating in an organization using the bivariate probit model focusing on environmentally-friendly agriculture farmers in Chungnam. This study examined the validity and reliability of the study model through exploratory factor analysis. The results of factor analyses identified four factors: "distribution", "production", "organization operation", and "social capital". The results of the bivariate probit model showed that distribution significantly affected production activities and distribution, organization operation, agricultural income, and gender significantly influenced sale activities. Environmentally-friendly production organization had not been able to provide the productive support that was needed for local farmers to produce environmentally-friendly agricultural products in a region. Additionally, farming education did not provide the information needed by the farmers. Although producers had a network within a production organization, it was operated mainly for administrators. Therefore, participants felt somewhat lacking. This study identified the level of organization of producer organizations in Chungnam area, where environmentally-friendly agriculture is well activated. This study suggested implications for future production organization participation by evaluating factors affecting participation quantitatively.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.4
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• pp.113-122
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• 2018

Thermal stress of pigs causes decreased feed consumption and weight gain rate, immunosuppression, reproductive disorders, and increased mortality. The concept of the temperature-humidity index (THI) has been widely used to evaluate the degree of thermal stress of pigs. However, use of this concept is strongly restricted for animals living in the enclosed facilities. In this study, Building Energy Simulation (BES) technique was used to realize the energy flow among outside weather conditions, building materials, and animals. Especially, mechanisms of sensible and latent heat generation from pigs according to surrounding air temperature and their weight were designed to accurately evaluate the THI values inside the pig house. The THI values computed by the BES model were compared to those calculated by method of the report (NIAS, 2016), the model of this study predicted the start date of heat stress about 9~76 days earlier compared to the NIAS model. Results of the BES model also showed higher frequencies of the THI above the THI threshold for pigs, indicating that conventional model has a possibility of underestimating the degree of heat stress of pigs.

• Korean Journal of Organic Agriculture
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• v.18 no.2
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• pp.135-154
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• 2010

The green craze has hit all the world lately. The green revolution which means immense changes for sustainable development under the new environment-economy system is foretelling that we should have new angle to the environment and economy. This paper is about the development of the model and indicators for construction of ECO(Energy Circulating Organic)-Village which is the green growth option of local community. This model is composed of three concepts - SPDC (about procedural methodology of Model), Virtuous Circle (about functional relationships of three requisites), Network (about spatial relationships between communities) - and evaluation indicators. Environment, tourism, industry (Energy & Organic Agriculture) are set as the three requisites for green growth of local community. Nations of the world plunge into the green war which is silent, general, sweeping changes. We can not win this war with the existing thinking system and policy. We need revolutionary changes reconsidering of environmental value and sustainable development strategy of the region. Each of us should go through the changes and this work would be the one among those efforts.

• Journal of Biosystems Engineering
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• v.41 no.3
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• pp.273-280
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• 2016

Purpose: This experiment was conducted to detect water stress in terms of the moisture content of cucumber seedlings under water stress condition using a hyperspectral image acquisition system, linear regression analysis, and partial least square regression (PLSR) to achieve a non-destructive measurement procedure. Methods: Changes in the reflectance spectrum of cucumber seedlings under water stress were measured using hyperspectral imaging techniques. A model for estimating moisture content of cucumber seedlings was constructed through a linear regression analysis that used the moisture content of cucumber seedlings and a normalized difference vegetation index (NDVI). A model using PLSR that used the moisture content of cucumber seedlings and reflectance spectrum was also created. Results: In the early stages of water stress, cucumber seedlings recovered completely when sub-irrigation was applied. However, the seedlings suffering from initial wilting did not recover when more than 42 h passed without irrigation. The reflectance spectrum of seedlings under water stress decreased gradually, but increased when irrigation was provided, except for the seedlings that had permanently wilted. From the results of the linear regression analysis using the NDVI, the model excluding wilted seedlings with less than 20% (n=97) moisture content showed a precision ($R^2$ and $R^2_{\alpha}$) of 0.573 and 0.568, respectively, and accuracy (RE) of 4.138% and 4.138%, which was higher than that for models including all seedlings (n=100). For PLS regression analysis using the reflectance spectrum, both models were found to have strong precision ($R^2$) with a rating of 0.822, but accuracy (RMSE and RE) was higher in the model excluding wilted seedlings as 5.544% and 13.65% respectively. Conclusions: The estimation model of the moisture content of cucumber seedlings showed better results in the PLSR analysis using reflectance spectrum than the linear regression analysis using NDVI.