• Proceedings of the Korean Society of Crop Science Conference
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• 2021.10a
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• pp.141-141
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• 2021

• Proceedings of the Korean Society of Crop Science Conference
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• 2001.09a
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• pp.59-71
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• 2001

In Korea, It was natural and inevitable to reclaim tidal land for farming due to over-population in small territory. Looking back upon the history of tidal land reclamation in Korea, We can find the first case of it in 13th century KangHwaDo(Island), and also find several records of small scale reclamations of western sea-coast from Korea dynasty to Chosun dynasty. A lot of wide fertile agricultural areas on western sea-coast have been developed through tidal land reclamation for about 1000-year after Korea dynasty. and on these areas, we have produced rice which we live on. An average areas of farming land per capital in korea is only 0.04ha, which is one sixth of global average. For water resources, similarly, capacity of water resources alloted to one person is $11{\%}$ of global average. So, without supplementary water development, we will have suffered from a severe deficiency of water Therefore we must prepare for these predictable short water and food problems. and tidal land reclamation may be suitable alternative to settle these problems. However, tidal land reclamation is a work of closing estuary, intercepting sea water inflow, developing a freshened estuary lake and farming lands etc. therefore it apparently causes a change of ecosystem, water quality and littoral environment. Nowadays, widely recognized the importance of environmental preservation, it is desirable or requested to make phil-environmental and sustainable development minimizing the environmental influence due to tidal land reclamation project. In this paper, the role of tidal land reclamation project in the development process of Korean agriculture was reviewed and the direction of afterwards tidal land reclamation project was suggested.

• Agribusiness and Information Management
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• v.10 no.2
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• pp.8-17
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• 2018

Due to changes in the agricultural market environment and both overseas and domestic farming conditions, uncertainties in agricultural production and management are becoming greater. Hence, there is a stronger need for farmers to choose crops in the optimal condition. This research aims to introduce the result and process of developing a decision support system for selecting crops, aimed to assist farmers in selecting the optimal crops most suitable in the given situation. There are basically three main factors to consider in the decision-making process for farmers when selecting a crop to introduce to their lands. First of all, one must consider how much profit crop A will produce when it is cultivated. Secondly, one must consider which crop to cultivate in order to earn a certain amount of profit. Thirdly, one must consider what is the best way to maximize Farm A's business profit. For instance, a farm may have land as its resource, and one must research which location, type of crop, level of technology, and so forth, to maximize profit.This research creates a database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

• Journal of The Korean Society of Agricultural Engineers
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• v.47 no.7
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• pp.3-9
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• 2005

A computer system for crop information was developed using Visual Basic and ArcGIS VBA. The system is operated on ArcGIS 8.3 with Microsoft Access MDB. Landsat +ETM, KOMPSAT-1 EOC, ASTER VNIR and IKONOS panchromatic (Pan) and multi-spectral (MIS) images were included in the system to extract agricultural land use items identifiable at various spatial resolutions of images. Agriculture related data inventories using crop cover information such as texture and average pixel value of each band based on crop cultivation calendar were designed and implemented. Three IKONOS images were loaded in the system to show crop cover characteristics such as rice, pear, grape, red pepper, garlic, and surface water cover of reservoir with field surveys. GIS layers such as DEM (Digital Elevation Model), stream, road, soil, land use and administration boundary were prepared to understand the related characteristics and identify the location easily.

• Proceedings of the Korean Society of Crop Science Conference
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• 1998.10a
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• pp.189-209
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• 1998

Food resources have been supplied more and more by crop land expansion, technological Improvement for higher crop yield, establishment of irrigation system, and input of fertilizers, chemicals and others, to sustain a world population increase currently about 6 billion. Food demand will be significantly increased in the 21st century due to population increases of 90 million per year and more consumption of meat with per capital income increase. But food production increase will be limited by difficulty of crop/irrigation land expansion and small or decreasing effectiveness of fertilizer use. Development of new techniques for higher yield per ha is only one way to meet future food demand increase. Optimistic prospect for food demand/supply balance was reported by FAO until 2010, and IFPRI until 2020. However, Worldwatch Institute warned world food supply will be less than expected demand by 500 million tons of cereal grains in 2030. It is necessary to establish a national plan to meet expected worldwide shortage of food resources in 21 century. What planning should be under taken to meet the upcoming century of food shortage in Korea whose food self-sufficiency rate is only $30{\%}$. It is recommended that (1) keep paddy field area as much as 1,100 thousand ha, (2) expansion of barley and wheat cultivation on all paddy area in winter season, (3) continue development of new technology to get international superiority of food resources produced in Korea, (4) expand nationwide the importance of food security under the current financial crisis encountered In Korea, and for food security in the future unified Korean peninsula.

• Journal of The Korean Society of Grassland and Forage Science
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• v.15 no.2
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• pp.146-150
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• 1995

The yield performance and nutrient quality of barley for pellets making from whole crop material were discussed during 1993-1994. Barley (cv. Olbori) was grown on paddy land after rice cutivation and was harvested at early stage of physiological maturity. A column type of whole crop pellets was produced by 1.5cm diameter and 2.5cm height. Barley war evaluated as a suitable materials for whole crop pellet making. Barley produced higher yield and better qualitative roughage in the utilization of pellet making than in the silage making. Dry matter yields were obtained 12.02 MTha in pellet making and 11.70 MT/ha in silage making. Net energy value of barley pellet were 6.54 MJ in net energy lactation and 635 SV in starch equivalent net energy. Feeding of barley pellet improved milk production of daily cattle Daily milk yields per head were 25.1 liter in silage feeding and 25.9 liter in pellet feeding. Production cost of pellets and silages made from whole crop barley were 169.07 won/kg and 124.15 won/kg dry matter, respectively.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.403-413
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• 2022

Classification and analysis are improved factors for the realtime automation system. In the field of agriculture, the cultivation of different paddy crop depends on the atmosphere and the soil nature. We need to analyze the moisture level in the area to predict the type of paddy that can be cultivated. For this process, Ensemble Modulation Pattern system and Block Probability Neural Network based classification models are used to analyze the moisture and temperature of land area. The dataset consists of the collections of moisture and temperature at various data samples for a land. The Ensemble Modulation Pattern based feature analysis method, the extract of the moisture and temperature in various day patterns are analyzed and framed as the pattern for given dataset. Then from that, an improved neural network architecture based on the block probability analysis are used to classify the data pattern to predict the class of paddy crop according to the features of dataset. From that classification result, the measurement of data represents the type of paddy according to the weather condition and other features. This type of classification model assists where to plant the crop and also prevents the damage to crop due to the excess of water or excess of temperature. The result analysis presents the comparison result of proposed work with the other state-of-art methods of data classification.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.367-367
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• 2017

Crimson clover, a legume crop, is a landscape crop and green manure crop that can be sowing in spring and autumn. Its red flower blooms in May, and serves various roles such as landscape composition, weeds suppressing, prevention of soil loss and nutrient on sloping land and supplying nitrogen and organic matter in soil. Thus, in order to utilize this crop in agriculture land, we evaluated the growth characteristics of crimson clover cultivated in four different soil textures, sand, sandy loam, loam, and clay loam. The nitrogen content of crimson clover was 15.8 g kg-1 and C/N rate was 20.3. Its growth was good in sandy loam and loam. Its plant height was 42.5 cm in sandy loam and 49.5 cm in loamy, respectively, which are approximately 20 cm longer than the sand and clay loam. The crimson clover in sandy loam and loam bloomed about seven days earlier than those in sand and clay loam. Regarding number of flower per hill and flower length, there were no difference between soil textures. Dry weight of crimson clover was 2.5 Mg ha-1, 2.3 Mg ha-1 each in sandy loam and loam. Therefore, it was approximately 0.8 ~ 1.1 Mg ha-1 higher than dry weight of sand and sandy loam. Plant height and dry weight of crimson clover was increased late harvest time. Nitrogen contribution were higher in loam and clay loam, when it was respectively 51.3 kg ha-1, 53.5 kg ha-1. Therefore, according to flowering properties and dry weight, the growth and development of crimson clover was finest in sandy loam and loam.

• Research in Plant Disease
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• v.15 no.2
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• pp.83-87
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• 2009

Direct Polymerase Chain Reaction (PCR) method that combines biological and enzymatic amplification of PCR targets was developed for the detection of Xanthomonas axonopodis pv. glycines on soybeen seeds without DNA isolation. Primers Xag F1 and Xag R1 were designed to specifically amplify a 401 bp fragment of the glycinecin A gene of X axonopodis pv. glycines. Xag F1 and Xag R1 were used to carry out the PCR analysis with genomic DNA from 45 different bacterial strains including phylogenetically related bacteria with X axonopodis pv. glycines, and other bacterial strains of different genus and species. The PCR assay using this set of primers were able to detect X axonopodis pv. glycines with DNA concentration as low as 200 fg and $1.8{\times}10^3$ cfu/ml. The Xag was detected from the seed samples incubated for 2 hrs with shaking and the intensity of the band was increase with the incubation time of seeds. The Direct PCR assay method without DNA isolation makes detection of X. axonopodis pv. glycines on soybean seeds easier and more sensitive than other conventional methods. The developed seed assay using direct PCR method will be useful for the specific detection of X. axonopodis pv. glycines in soybean seed samples.

• Asian-Australasian Journal of Animal Sciences
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• v.13 no.2
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• pp.220-225
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• 2000

A general household survey was carried out in the village of Sonoageng in East Java, Indonesia with the aim to assess their socio-economic status, and the crop and livestock production system prevailing in the area. Of the households interviewed (164), 52% are landless, 35% own land or have a combination of own and shared land, and 12% do not own land but have access to land by sharing. Nearly two thirds (65%) of the households raise cattle; most of them own animals, 8% reared shared animals only. The dominant crop was rice; other crops grown were soya bean, groundnut, maize and sugar cane. Nearly half (47%) the household income was derived from off-farm work (non-agricultural activities), 33% from crops, 13% from livestock (mainly cattle), and 7% from agricultural labour. Most households kept 1 to 2 animals and only 21 out of 164 households earned more than Rp. 500,000 (~250 US$) per annum from livestock. The most prevalent type of livestock production in the area could be characterized as small-scale cow/calf operation, either by landless households or those with <0.4 ha of land.