• 한국농림기상학회지
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• 제23권4호
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• pp.374-390
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• 2021

농산물 중에서도 노지채소는 생육특성상 기상요건의 변화에 민감하게 반응한다. 온난화로 인한 노지 채소류의 급격한 재배적지 및 생산성 변동의 대응 방안으로 작물모형을 활용한 연구가 활발히 진행되어 왔으며 신뢰도 높은 생산성 예측을 위해 관련된 다양한 요인에 대한 분석이 필요한 상황이다. 본 연구에서는 정밀한 작물 생육 모형의 개발에 앞서 대표적인 노지 채소 작물인 마늘과 양파를 대상으로 문헌 조사를 수행하여 생육 및 생산성과 관련된 모형 개발 연구 동향을 분석하였다. 또한, 작물의 생육 또는 생산성을 예측하는 모형에 관한 문헌들을 분류하여 모형 개발을 위한 시사점을 파악하고자 하였다. 이를 위해 문헌이 수록된 데이터베이스를 이용하여 키워드 조합으로 검색하여 얻어진 관련 문헌들을 수집하였으며, 텍스트마이닝 기법 중 워드클라우드와 의미연결망을 활용하여 수집된 논문들에서 나타난 연구 동향을 분석하였다. 또한 각각의 문헌들을 분석하여 양파와 마늘의 생육 및 수량에 영향을 미치는 요소를 탐색하였다. 그 결과 국내외 모두 식량작물인 벼에 비해 노지채소는 문헌 건수가 월등히 적었다. 또한 텍스트마이닝을 통한 분석결과 연구동향의 경우 기후변화와 원격탐사 등이 주로 검색되었으며, 작물생육 관련인자로는 기온, 관수 등이 많은 것으로 조사되었다. 문헌 분석을 통해 확인된 마늘과 양파의 생산성에 영향을 미치는 조건들은 환경 및 재배요인에 따라 다양하게 나타났는데, 토양 조건의 경우 토양 무기 성분, pH 농도 및 토양 수분 등이, 생산성과 관련된 재배관리 조건으로는 파종 시기, 품종, 종자처리 방식, 관수간격, 시비량 및 비료 성분 등이 주요 인자로 분류되었다. 기상 조건의 경우, 기온, 강수량, 일사량 및 습도 등이 다수의 문헌에서 주요 인자로 사용되었다. 본 연구의 결과들은 차후 추가적인 작물모형 개발에 활용할 수 있는 핵심적인 입력 요소를 파악하기 위해 사용될 수 있을 것으로 기대된다.

• The Plant Pathology Journal
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• 제39권4호
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• pp.335-350
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• 2023

Physoderma fungal species cause faba bean gall (FBG) which devastates faba bean (Vicia faba L.) in the Ethiopian highlands. In three regions (Amahara, Oromia, and Tigray), the relative importance, distribution, intensity, and association with factors affecting FBG damage were assessed for the 2019 (283 fields) and 2020 (716 fields) main cropping seasons. A logistic regression model was used to associate biophysical factors with FBG incidence and severity. Amhara region has the highest prevalence of FBG (95.7%), followed by Tigray (83.3%), and the Oromia region (54%). Maximum FBG incidence (78.1%) and severity (32.8%) were recorded from Amhara and Tigray areas, respectively. The chocolate spot was most prevalent in West Shewa, Finfinne Special Zone, and North Shewa of the Oromia region. Ascochyta blight was found prevalent in North Shewa, West Shewa, Southwest Shewa of Oromia, and the South Gondar of Amhara. Faba bean rust was detected in all zones except for the South Gonder and North Shewa, and root rot disease was detected in all zones except South Gonder, South Wollo, and North Shewa of Amahara. Crop growth stage, cropping system, altitude, weed density, and fungicide, were all found to affect the incidence and severity of the FBG. Podding and maturity stage, mono-cropping, altitude (>2,400), high weed density, and non-fungicide were found associated with increased disease intensities. However, crop rotation, low weed infestation, and fungicide usage were identified as potential management options to reduce FBG disease.

• 농업과학연구
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• 제47권2호
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• pp.263-273
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• 2020

With the change of the agricultural environment (increased rice production, decreased rice consumption, and rice production policies), converting paddy fields into upland fields is an increasing trend. In terms of conversion into upland fields, subsurface drainage is one of the most important factors for good field crop growth. This study evaluates the performance of a subsurface drainage culvert system in paddy fields and reclaimed lands. The obtained results are briefly summarized as follows: 1) After a comparative evaluation of several subsurface drainage culvert systems, including excavated subsurface drainage and non-excavated subsurface drainage types, type 3 (non-excavated, perforated drain pipe 50 mm, filter mat B50 cm, subsoiling 70 cm and culvert spacing 5 m) shows relatively high values among four types in terms of effectiveness (subsurface discharge capability) and economic efficiency (construction cost). 2) Type 3 has proven that it is suitable for design standards of discharge capacity through field tests performed in paddy fields (three sites: Gong-geom, Gae-san, Juk-san) and reclaimed lands (two sites: Gum-ho, Mi-am). 3) In the experiment of Sesamum indicum growth according to the existence of a drainage system, Sesamum indicum growth with a subsurface drainage culvert system had good value in terms of plant shoot and root length, shoot fresh and dry weight, and root fresh and dry weight).

• Agribusiness and Information Management
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• 제10권2호
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• pp.1-7
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• 2018

In the present day context of changing information needs of the farmers and diversified production systems there is an urgent need to look for the effective extension support system for the small and marginal farmers in the developing countries like India. The rapid developments in the collection and analysis of field data by using the spatial technologies like GPS&GIS were made available for the extension functionaries and clientele for the diversified information needs. This article describes the GIS and GPS based decision support system in precision agriculture for the resource poor farmers. Precision farming techniques are employed to increase yield, reduce production costs, and minimize negative impacts to the environment. The parameters those can affect the crop yields, anomalous factors and variations in management practices can be evaluated through this GPS and GIS based applications. The spatial visualisation capabilities of GIS technology interfaced with a relational database provide an effective method for analysing and displaying the impacts of Extension education and outreach projects for small and marginal farmers in precision agriculture. This approach mainly benefits from the emergence and convergence of several technologies, including the Global Positioning System (GPS), geographic information system (GIS), miniaturised computer components, automatic control, in-field and remote sensing, mobile computing, advanced information processing, and telecommunications. The PPP convergence of person (farmer), project (the operational field) and pixel (the digital images related to the field and the crop grown in the field) will better be addressed by this decision support model. So the convergence and emergence of such information will further pave the way for categorisation and grouping of the production systems for the better extension delivery. In a big country like India where the farmers and holdings are many in number and diversified categorically such grouping is inevitable and also economical. With this premise an attempt has been made to develop a precision farming model suitable for the developing countries like India.

• 농촌계획
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• 제22권4호
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• pp.171-182
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• 2016

Since FAO introduced the Globally Important Agricultural Heritage Systems(GIAHS) in 2002, 36 sites of 15 countries so far have been listed on GIAHS. This study aims to find the important agricultural heritages of Korea and to prepare the methods for them to be selected as GIAHS. We have analyzed the proposals of the 36 GIAHS listed in order to study the characteristics of their components of the agricultural heritage which worked for being selected. To analyze the components of the agricultural heritage first, agricultural heritage was classified into 13 types and 42 components in light of GIAHS criteria. Then central themes were set to analyze the relevant contents in the proposals. They were, the type of GIAHS Site, significant agricultural landscape, the agriculture-forestry-fisheries-livestock linkage systems, the multi-layered, inter-cropping, circulation cultivation systems, the soil and water management systems, the conservation of agrobiological diversity and genetic resources, the history of the agricultural heritage, the succession of traditional farming techniques, the cultural diversity and so on. Most GIAHS are located in mountains, grasslands, rivers and coasts, desert than in plains, through which GIAHS assure us that it is the heritage of human challenge to overcome the harsh geographic environment and maintain a livelihood. In these sites the traditional farming techniques are carried on, such as mountain clearings, terraced rice paddies, and burn fields, and the unique irrigation systems and agricultural landscapes are well maintained, and the eco-friendly traditional farming techniques utilizing abundant forest resources and agriculture are well handed down. The origin or home of crop growing, a variety of genetic crop storage, the world's largest crop producer and preserving cultural diversity are also important factors for the selection.

• 한국작물학회지
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• 제50권4호
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• pp.268-275
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• 2005

Early predictions of crop yields call provide information to producers to take advantages of opportunities into market places, to assess national food security, and to provide early food shortage warning. The objectives of this study were to identify the most useful parameters for estimating yields and to compare two model selection methods for finding the 'best' model developed by multiple linear regression. This research was conducted in two 65ha corn/soybean rotation fields located in east central South Dakota. Data used to develop models were small temporal variability information (STVI: elevation, apparent electrical conductivity $(EC_a)$, slope), large temporal variability information (LTVI : inorganic N, Olsen P, soil moisture), and remote sensing information (green, red, and NIR bands and normalized difference vegetation index (NDVI), green normalized difference vegetation index (GDVI)). Second order Akaike's Information Criterion (AICc) and Stepwise multiple regression were used to develop the best-fitting equations in each system (information groups). The models with $\Delta_i\leq2$ were selected and 22 and 37 models were selected at Moody and Brookings, respectively. Based on the results, the most useful variables to estimate corn yield were different in each field. Elevation and $EC_a$ were consistently the most useful variables in both fields and most of the systems. Model selection was different in each field. Different number of variables were selected in different fields. These results might be contributed to different landscapes and management histories of the study fields. The most common variables selected by AICc and Stepwise were different. In validation, Stepwise was slightly better than AICc at Moody and at Brookings AICc was slightly better than Stepwise. Results suggest that the Alec approach can be used to identify the most useful information and select the 'best' yield models for production fields.

• 한국산업보건학회지
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• 제29권4호
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• pp.500-507
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• 2019

Objectives: The purpose of this study is to categorize farm types and analyze the cultivated area and labor input time for each crop over a year in order to decide farm type conducting for the hazard exposure assessment. Methods: Crops ranked within the top 45 by cultivated area in Korea were selected and 15 target crops that exposure assessment had been conducted for through the Rural Development Administration(RDA) pilot research projects were selected. Labor input time was based on data investigated through RDA research surveillance. If there was no data, data from Statistics Korea was used. Data from Statistics Korea was used for total cultivated area. Results: Crops were divided into 5 types: open field crops(Chinese cabbage, Corn, Ginger, Potato), fruits (Mandarin, Pear), green house crops(Cucumber, Lily, Oriental melon, Pumpkin, Tomato), livestock(Poultry), specialty crops(Ginseng, Oyster mushroom, Tobacco). The cultivated area for potato was the largest, and lily was the smallest among the crops. Labor input time over a year was the highest with oyster mushroom and the lowest with pear. Total labor input time by crops was the highest with mandarin and the lowest with Chinese cabbage. Conclusions: To evaluate hazard factors of farm work, it's essential that crops and tasks be classified based on the size of farmers and working hours by farm type. Therefore, the priority of management should be determined based on the cultivated area and total labor time, but the characteristics of tasks in each crop should also be considered.

• 한국지하수토양환경학회지:지하수토양환경
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• 제23권3호
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• pp.27-42
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• 2018

It is important to identify the contaminant sources and to evaluate the fate and transport of heavy metals to crops in agricultural lands. This study was conducted to evaluate metal sources and its transfer and accumulation to crop in agricultural soils. Pollution indices were calculated and multivariate analysis was performed to identify metal sources. To evaluate transfer and accumulation of metals to crops, the contents of phytoavailable metals were evaluated by using single extraction method and the correlation between metal content and soil properties was analyzed. Also the BCF was quantitatively evaluated for investigating the metal transition to each crop grown in the research area. As a result, Cr, Ni, and Co were expected to be mainly derived from geologic factors due to weathering of certain parent rocks. The content of nickel in soils of the research area was slightly higher than that of the concern level criteria based on total concentration, but the amount transferred and accumulated in the crops was actually low. Understanding the contamination characteristics by investigating the pollution sources of heavy metals and its transfer and accumulation to crops through various evaluation techniques could provide important information for proper management of the agricultural land.

• 한국환경농학회지
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• 제41권1호
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• pp.16-23
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• 2022

BACKGROUND: Rice production by the current standard cultivation method is predicted to decrease due to global warming. It seems that there has been a strong warming trend in Hwaseong-si, Gyeonggi-do. This study attempted to understand the climate change in Hwaseongsi, Gyeonggi-do and to analyze the effect of climate change on rice production. METHODS AND RESULTS: The statistical and physicochemical analyses were performed using the rice cultivar 'Chucheongbyeo' yields grown at the rice paddy field plot in the Gyeonggi-do Agricultural Research and Extension Services and the weather data measured in near the rice paddy plot. CONCLUSION(S): There was no significant difference between the average rice yields per area in 2000s (2001~2010) and 2010s (2011~2020), but the rice yield variability was greater in 2010s than in 2000s. The mean, minimum, maximum temperature, and the sunshine hours were evaluated for the correlation with the rice yield. The understanding of climate change in Hwaseong-si, Gyeonggi-do and the major weather factors affecting changes in rice yield, presented in this study, would enhance scientific understanding of regional climate change, and improve rice cultivation management.

• 한국잡초학회지
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• 제31권3호
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• pp.221-228
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• 2011

본 연구는 시설원예작물 후작물의 재배가 증가하고 있어 이들 작물에 대한 효과적인 잡초관리를 위한 기초자료를 얻기 위해 시설작물 재배지를 중심으로 작물별로 춘 추계 분포 상태와 하계 표토관리 방법별로 잡초발생 양상을 조사하였다. 시설작물 재배지 시기별로 춘계에는 24종으로 화본과 잡초 3종, 방동사니과 잡초 2종, 그리고 광엽잡초가 19종 발생하였으며, 추계에는 33종으로 화본과 7종, 방동사니과 3종, 그리고 광엽잡초가 23종 조사되었다. 시설내 춘 추계 잡초의 과별로는 국화과는 한련초, 쑥 등 9종, 화본과는 피, 뚝새풀 등 7종, 방동사니과는 알방동사니, 올방개 등 4종, 십자화과는 개갓냉이 등 3종, 석죽과는 쇠별꽃 등 3종, 대극과와 마디풀과가 각각 2종, 그리고 괭이밥과 등 총 18과로 분류되었다. 추계시설 내 잡초 우점순위를 보면, 바랭이 11.6%> 참방동사니 10.9%> 쇠비름 10.5%> 속속이풀 8.3%> 주름잎 7.8%로 대부분이 밭잡초의 우점순위가 높았으며 한련초, 피, 알방동사니, 여뀌바늘과 같은 논잡초도 발생되었다. 한편, 시설작물 수확 후 표토관리 방법별 잡초 발생은 하계 일년생 잡초로는 한련초, 참방동사니, 쇠비름, 왕바랭이 4종, 동계 일년생 잡초는 좁쌀냉이, 속속이풀, 꽃마리 3종이었다. 그리고 다년생 잡초로는 괭이밥으로 전체 7과 8종이 발생하였다. 적산우점도로는 경운 시 좁쌀냉이 88.1%> 한련초 57.5%> 쇠비름 55.2%> 괭이밥 53.4% 순이었다. 비닐제거구에서는 쇠비름이 88.9%> 한련초 57.9%> 꽃마리 25.1%> 왕바랭이 23.7% 순이었다. 비닐피복구는 쇠비름 98.7%> 꽃마리 49.1%, 한련초 36.8% 순이었다.