• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.11
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• pp.1534-1538
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• 2020

Smart farming education service focuses on the dissemination of farming information that is the farming knowledge, farming skill, and farmer's experiences and knowhow, etc. This farming information is supposed from current activities, farming product and from the experience of farmer on the field. If the information is not available, or if available and not in a form that is amenable to being brought to the end producer then the process stalls at this point. The core component of the automation process for smart farming education service is the creation of a data store which will be a repository for the information of the smart farming education. The farming sector will benefit immensely from the implementation of farming data in farming contents repository which will serve as the knowledge base for the smart farming education service.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.287-289
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• 2021

Smart farming education service based on network are important factors for farming sector. The lack of time and space has to lead to their limited appliance to farmers. Limited information support and low background knowledge in farming production is a lot of trial and error in farming production. Smart farming education as a service based on cloud provide the farming information that is the farming knowledge, farming skill, and farmer's experiences and knowhow, etc. And real-time information such as climate change, soil environment and market trends is very important. This paper proposes a framework for applying farming education service based on cloud. It consists of smart farming function and smart farming education function

• Journal of The Korean Society of Agricultural Engineers
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• v.52 no.2
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• pp.35-42
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• 2010

In this paper, we propose a ubiquitous Farming Diary System which can support the easy and reliable recording of a farming diary for the certificate on environment-friendly agricultural products by using the USN(Ubiquitous Sensor Network) technologies. By using growth-related data, the system can also control farming facilities remotely and automatically. To achieve this goal, the UFDS(Ubiquitous Farming Diary System) is consisted with 3 layers. The first 'physical layer' can collect data from sensors, cameras and facilities then controls the growth environment based on the analyzed information. The second 'Middle layer' can process and store the data from 'physical layer' to sensor manager, image manager, control manager and diary manager separately. The third 'application layer' can provide growth-related services to users through various applications. The UFDS can recording grow history information automatically and Easily. Besides, the system can make an accurate and reliable farming diary with multimedia information such as motion and sound. Furthermore, environmental information such as temperature, humidity, luminance and soil conditions (soil temperature, soil humidity, soil EC) can be monitored in real-time and the facilities managed in remote sites.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.194-196
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• 2021

This focuses on the Cultivation Plan Service at the preliminary production phase is critical in that it supports agricultural producers' decision by providing related information such as predicted crop production or expected profits for consulting or other agricultural information when they plan to cultivate. This paper describes the reference architecture of the farming sector will benefit immensely from the implementation of farming data in farming contents repository which will serve as the knowledge base for the Cultivation Plan Service at the pre-production stage based on Big data analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.617-618
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• 2015

IT convergence with agriculture is expected to bring more efficiency and quality improvement in pre-production stage, Production stage, post-production stage of agricultural products with the aid of information processing and autonomous control technologies of the IT area. This paper describes the actualized convergence service for agriculture, namely Smart Farming as a solution to cope various problems caused by severe conditions or the gap of viewpoints between the people engaged in farming and the IT engineers. In particular this defines service capabilities for Smart Farming, provides a reference model for Smart Farming, and identifies network capabilities required to produce an infrastructure which supports Smart Farming.

• Journal of Practical Agriculture & Fisheries Research
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• v.26 no.3
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• pp.53-63
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• 2024

This study analyzes the current status of farming succession among young farmers and reviews policy measures to revitalize farming succession. In order to analyze the current status of farming succession to young farmers, a survey was conducted on 186 graduates of Korea National University of Agriculture and Fisheries who are engaged in farming. According to the analysis results, the respondents' farming succession method had a high proportion of intra-family gift and inheritance (56.5%), and the reason for farming succession was mainly due to lack of farming ability due to aging of parents or grandparents (87.6%). Among the difficulties faced by young farmers in the process of farming succession, it was found that the degree of difficulty was high in securing farmland, lack of investment in facilities and operating funds, lack of legal information on gifts and inheritance, and communication problems with parents. A plan to revitalize farming succession for sustainable agriculture is presented as follows. First of all, we are seeking a way to stably hand over the agricultural base of older farmers to young farmers. Second, it is necessary to seek alternatives for the succession of agricultural assets. Third, policy support is needed to solve the difficulties of farming succession. For example, expanding retirement income support for transferred farmers or strengthening support to promote succession to young farmers. Fourth, it is necessary to build a foundation such as consulting and information provision to solve problems that arise in farming succession within the family. Fifth, there is a need to review an effective farming succession plan by converting the management body into a corporation and distributing decision-making rights.

• Agricultural and Biosystems Engineering
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• v.5 no.1
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• pp.1-4
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• 2004

Community-based precision farming is a new concept of agricultural systems, which leads to organize groups of wise farmers and technology platforms in Japan. The wisdom farmers create a rational farming system to manage hierarchical variability: variability in farmers' community as well as variability of within-field and between-field. The technology platform develops and provides three key-technologies: mapping technology, variable-rate technology, and decision support systems available for rural constraints. Advancement of bio-production robots leads precision farming to the next level, where two technological innovations: how to produce and manage information-oriented fields and information-added products, can be attained.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.718-720
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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. In this paper, it is analyzed reference model 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.500-503
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• 2016

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. 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 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.