• Korean Journal of Organic Agriculture
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• v.32 no.2
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• pp.247-265
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• 2024

The aim of the study was to assess whole farm nitrogen (N)-balance in organic Hanwoo farms of different recycling types. N input, output and within-farm N flows were calculated as a farm-gate balance on 12 organic Hanwoo farms. The observed farms were divided into three groups: as (a) recycling farms, with a forage cultivation area (more than 0.1 ha), (b) semi-recycling farms (0.01-0.1 ha) and (c) with non-recycling farms (less than 0.01 ha). The self-sufficiency forage crops for animal feed was 44.4, 15.0, and 4.2% in recycling farms, semi-recycling farms and non-recycling, respectively. The recycling rate of compost was 98.8, 63.8, and 20.6% in recycling farms, semi-recycling farms and non-recycling farms, respectively. The annual farm-gate N surplus (input-output) per head was 42, 47, and 55 kg in recycling farms, semi-recycling farms and non-recycling, respectively. The mean annual N balance per head in recycling farms was less than 28% of non-recycling. The field nitrogen budgets showed 234, 1,161, and 5,476 kg N ha^-1 year^-1 in recycling farms, semi-recycling farms and non-recycling farm, respectively. N-surplus reductions of in recycling farms was 5-23 times lower compared to the semi-recycling farms and non-recycling farm. The nitrogen use efficiency (NUE) was 54, 36, and 29%, in recycling farms, semi-recycling farms, and non-recycling farm, respectively. Results showed that compost recycling through crop-livestock recycling farm is significant in the contributing to circulating N balance and to greater efficiency and productivity. The recycling organic Hanwoo farm had the low N balance and the high NUE. To reduce the N balance, we considered how to increase the amount of recycling by using self production compost. The self production forage crops was mainly considered to reduce the N balance by decreasing input of purchased feeds and increasing crop production and recycling rate of compost.

• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.2
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• pp.57-72
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• 2018

In order to extract meaningful information from the excellent farming settlement cases of young farmers published by KNCAF, we studied the key words with text mining and created a word cloud for visualization. First, in the text mining results for the entire sample, the words 'CEO', 'corporate executive', 'think', 'self', 'start', 'mind', and 'effort' are the words with high frequency among the top 50 core words. Their ability to think, judge and push ahead with themselves is a result of showing that they have ability of to be managers or managers. And it is a expression of how they manages to achieve their dream without giving up their dream. The high frequency of words such as "father" and "parent" is due to the high ratio of parents' cooperation and succession. Also 'KNCAF', 'university', 'graduation' and 'study' are the results of their high educational awareness, and 'organic farming' and 'eco-friendly' are the result of the interest in eco-friendly agriculture. In addition, words related to the 6th industry such as 'sales' and 'experience' represent their efforts to revitalize farming and fishing villages. Meanwhile, 'internet', 'blog', 'online', 'SNS', 'ICT', 'composite' and 'smart' were not included in the top 50. However, the fact that these words were extracted without omission shows that young farmers are increasingly interested in the scientificization and high-tech of agriculture and fisheries Next, as a result of grouping the top 50 key words by crop, the words 'facilities' in livestock, vegetables and aquatic crops, the words 'equipment' and 'machine' in food crops were extracted as main words. 'Eco-friendly' and 'organic' appeared in vegetable crops and food crops, and 'organic' appeared in fruit crops. The 'worm' of eco-friendly farming method appeared in the food crops, and the 'certification', which means excellent agricultural and marine products, appeared only in the fishery crops. 'Production', which is related to '6th industry', appeared in all crops, 'processing' and 'distribution' appeared in the fruit crops, and 'experience' appeared in the vegetable crops, food crops and fruit crops. To visualize the extracted words by text mining, we created a word cloud with the entire samples and each crop sample. As a result, we were able to judge the meaning of excellent practices, which are unstructured text, by character size.