• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1669-1683
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• 2021

AI intelligent agriculture and digital agriculture are important for the science of agriculture. Leaf chlorophyll contents(LCC) are one of the most important indicators to determine the growth status of vegetable crops. In this study, a support vector machine (SVM) regression model was produced using an unmanned aerial vehicle-based RGB camera and a multispectral (MSP) sensor for onions and garlic, and the LCC estimation applicability of the RGB camera was reviewed by comparing it with the MSP sensor. As a result of this study, the RGB-based LCC model showed lower results than the MSP-based LCC model with an average R² of 0.09, RMSE 18.66, and nRMSE 3.46%. However, the difference in accuracy between the two sensors was not large, and the accuracy did not drop significantly when compared with previous studies using various sensors and algorithms. In addition, the RGB-based LCC model reflects the field LCC trend well when compared with the actual measured value, but it tends to be underestimated at high chlorophyll concentrations. It was possible to confirm the applicability of the LCC estimation with RGB considering the economic feasibility and versatility of the RGB camera. The results obtained from this study are expected to be usefully utilized in digital agriculture as AI intelligent agriculture technology that applies artificial intelligence and big data convergence technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.3
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• pp.607-612
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• 2017

IT convergence with agriculture and livestock farming are expected to bring more efficiency and quality improvement in producing, distributing, consuming of agricultural products with the aid of information processing and autonomous control technologies of the IT area. The standardization work for smart farming and livestock farming based on networks is just at the beginning stage. And also, it is capable of coping with environment and technical problems with the actualized IT convergence case for agriculture. Hence, more studies on each point are required to finish the works including amendments and enhancements. More interests are expected to attain the successful results that ultimately contribute to innovate in the lifestyle. In this paper, it is analyzed strategy item and consider the actualized IT convergence case for agriculture and livestock, namely Smart Farming and Smart livestock Farming as a solution to cope the presented problems. In addition, suggest to ICT standardization road map for future planning.

• Journal of Environmental Science International
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• v.31 no.7
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• pp.569-577
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• 2022

This study aimed to evaluate the growth of Cichorium intybus, Brassica juncea, and Lactuca sativa at varying seed ratios, and to suggest an efficient management plan for sustainable indoor agriculture systems. It was treated with mixed sowing as follows: 30 chicory seeds (chicory alone: CC), 22 chicory seeds + 8 lettuce seeds (C₃L₁), 20 chicory seeds + 10 lettuce seeds (C₂L₁), 15 chicory seeds + 15 lettuce seeds (C₁L₁) as intraspecies, and 30 mustard seeds (mustard alone: MC), 22 mustard seeds + 8 lettuce seeds (M₃L₁), 20 mustard seeds + 10 lettuce seeds (M₂L₁), 15 mustard seeds + 15 lettuce seeds (M₁L₁) as interspecies. The study identified the competitive response in seed germination between Cichorium intybus and Lactuca sativa, and in the C₃L₁ experimental group, Lactuca sativa had the highest leaf length, root length, chlorophyll content, and fresh weight. Therefore, the higher the ratio of Cichorium intybus, the higher the growth and productivity of Lactuca sativa; however, higher the ratio of Lactuca sativa, the lower the growth of Cichorium intybus. Furthermore, the nitrogen and potassium content in the substrate was the highest in the C₃L₁ experimental grorp which had the highest seeding rate of the Cichorium intybus. Comparing the groups Brassica juncea and Lactuca sativa, the higher the seeding ratio of Lactuca sativa, the higher the growth and productivity of Brassica juncea. Therefore, a companion seeding of Brassica juncea and Lactuca sativa is beneficial; this could be effective in having a high seeding ratio of Lactuca sativa.

• Journal of Korean Society on Water Environment
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• v.37 no.6
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• pp.458-468
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• 2021

In this study, we investigated the variations of dissolved organic matter (DOM) in an agricultural reservoir during the monsoon period (June to October, 2020) with respect to the organic carbon concentration (DOC), molecular weight distribution, and optical properties. The monsoon period was divided into three phases - beginning storm (BS), during storm (DS), and after storm (AS). Our results showed significant differences in the concentrations and characteristics of DOM during the summer monsoon. The DOC concentrations were decreased after the monsoon, probably due to a dilution effect. In contrast, increasing trends were observed in the specific UV absorbance (SUVA), and relative abundances of humic-like fluorescence and larger-sized compounds. These observations implied that the large-sized and humic-like organic components with terrestrial origins strongly affected the reservoir DOM after the summer monsoon. Meanwhile, biopolymer size fraction, which is associated with algal activity, became more abundant after the monsoon. These results suggest that DOM with autochthonous sources became dominant as a result of the inflow of nutrients into the reservoir after the storm. Spatial changes in DOM within the reservoir were not pronounced as much as the temporal variations. All taken, it can be concluded that the summer monsoon simply led to the decrease of DOM concentrations while the sources and the quality of DOM underwent substantial changes, which may enrich refractory organic matter in the reservoir. This study reveals the importance of in-depth DOM quality monitoring before and after summer monsoon for effective water quality management in agricultural reservoirs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.403-405
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• 2019

The risk mitigation service based on network provides monitoring of the risk event data to be inputted and analyses its big data to be stored in real time. Furthermore, it performs the analysis of the plant disease risk such as a red tide, and livestock disease risk such a food-and-mouth disease, avian influenza, and rinderpest, and provides the mitigation service. The standardization road map for risk mitigation is the real time acquisition monitoring of risk events, and mitigation service for the risks.

• Food Science and Industry
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• v.49 no.4
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• pp.31-39
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• 2016

The reasons for selecting insects as future food are high growth and feed conversion rates, reproduce quickly, low environmental footprint, valuable source of nutrients, and source of a various undeveloped functional materials. Since 2014, Tenebrio molitor larva, Protaetia brevitarsis larva, Allomyrina dichotoma larva, and Gryllus bimaculatus were registered as new food in Korea because it has been scientifically proven that they are not harmful to eat and nutritious. Therefore they can be legally produced and sold as food. Accordingly, there are 7 species of edible insects including grasshopper, silkworm pupa, and Baekgangjam in Korea. To improve aversion to edible insects, using their powder, chop, and gravy hidden their morphology, we developed more than 100 different kinds of recipes for general food menu, held several times tasting events to be familiar with edible insect food, and published cookbooks. Moreover, we developed more than 50 kinds of recipes for patients. To eat the insect food more and more people, we have been analyzed various function of insects. If health food based on the results of functional analysis is developed, edible insect's value will be raised. If various insect foods are developed and consumed by people, edible insect market will grow up more than 100 billion won in 2020.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.91-97
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• 2018

The plant factory represents one of the future agricultural systems into which ubiquitous information technology (U-IT) is incorporated, including sensor networking, and helps minimize the influence of external experimental factors that constrain the use of existing greenhouse cultivation techniques. A plant factory's automated cultivation system does not merely provide convenience for crop cultivation, but also expandability as a platform that helps build a knowledge database based on its acquired information and develop education and other application services using the database. For the expansion of plant factory services, this study designed a plant factory interworking service (PFIS) which allows plant factories to share crop growth-related information efficiently among them and performed a test on the service and its implementation.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2933-2940
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• 2018

It is known that fruit is more affected by the weather than other crops. Therefore, in order to create high value for farmers, it is necessary to develop a wholesale price model considering the weather. Peaches produced under relatively limited conditions were chosen as subjects of study. The data were collected from 2015 to 2017 provided by okdab 4.0. The meteorological data used for the analysis were generated by weighting the cultivation area and the variables with high correlation among the weather data were selected from the day before to 7 days before. Randomforest, gradient boosting machine, and XGboost were used for the analysis. As a result of analysis, XGboost showed the best performance in the sense of RMSE and correlation, and price prediction was comparatively well predicted, but the accuracy of the trading volume prediction was not so good enough. The top three weather variables affecting to the peach were minimum temperature, average maximum temperature, and precipitation.

• Korean Journal of Organic Agriculture
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• v.28 no.4
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• pp.591-604
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• 2020

The objectives of this study were to find out the best condition of extracting methods of limonene from citron and to determine effects of limonene on immune modulation activity by measuring cytokine secretion using RAW 264.7 mouse macrophage cells. When distilled water was used as a solvent instead of organic solvents to extract limonene from citron, addition of refluxing process to simultaneous steam distillation extraction method was found to be much effective in extracting limonene. However, it required longer extraction time than using other organic solvents. Limonene extracts showed increased IL-β and IL-6 but decreased the TNF-α gene expression in limonene concentration dependant manner. However oral administration of limonene extracts to mice did not influence significantly compared to control in in vivo experiment. It might be due to that the mice were kept in well controlled and complete environment. Limonene, a natural material from citron has been approved to have a immune-modulation activity in the present study and have a potential as a feed additive that is environmentally friendly and no harmful. Further study with protected limonene, for example, for the protection of limonene from oxidation or bypass the ruminal degradation in order consequently to increase immune-modulation activity might be useful as a further research.

• Journal of Practical Agriculture & Fisheries Research
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• v.24 no.2
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• pp.29-38
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• 2022

The purpose of this study is to understand the importance-satisfaction level for the improvement of the young farmers fostering support policy. According to the analysis result, the respondents answered that the current policy to foster young farmers is important. However, the actual satisfaction level of the project was found to be lower than the importance level. In the 'Keep up the Good Work' area, which is the first quadrant, 'a project to support young succession farmers and settling in farming' and 'a project to select and support succeeding agricultural managers'. It was found that the respondents highly evaluated the importance and satisfaction of the 'Young Succession Farmers Selection and Farm Settlement Support Project' and the 'Succession Farmers Selection and Support Project'. Therefore, it is necessary to gradually expand the project in the future.