• 제목/요약/키워드: crop growth model

검색결과 245건 처리시간 0.029초

클라우드 기반 한국형 스마트 온실 연구 플랫폼 설계 방안 (Research-platform Design for the Korean Smart Greenhouse Based on Cloud Computing)

  • 백정현;허정욱;김현환;홍영신;이재수
    • 생물환경조절학회지
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    • 제27권1호
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    • pp.27-33
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    • 2018
  • 본 연구는 농업 및 정보 통신 기술의 융합을 기반으로 국내외 스마트 농장 서비스 모델을 검토하고 한국의 스마트 온실을 개선하기 위해 필요한 다양한 요인을 조사하기 위해 수행되었다. 국내 스마트 온실의 작물 생육모델 및 환경모델에 관한 연구는 제한적이었고, 연구를 위한 인프라를 구축하는 데는 많은 시간이 필요하다. 이러한 문제의 대안으로 클라우드 기반 연구 플랫폼이 필요하다. 제안된 클라우드 기반 연구 플랫폼은 통합 데이터, 생육환경모델, 구동기 제어 모델, 스마트 온실 관리, 지식 기반 전문가 시스템 및 농가 대시보드 모듈을 통해 통합적 데이터 저장 및 분석을 위한 연구 인프라를 제공한다. 또한 클라우드 기반 연구 플랫폼은 작물 생육환경, 생산성 및 액추에이터 제어와 같은 다양한 요인들 간의 관계를 정량화하는 기능을 제공하며, 연구자는 빅데이터, 기계 학습 및 인공지능을 활용하여 작물 생육 및 생장환경 모델을 분석할 수 있다.

Development of Field Scale Model for Estimating Garlic Growth Based on UAV NDVI and Meteorological Factors

  • Na, Sang-Il;Min, Byoung-keol;Park, Chan-Won;So, Kyu-Ho;Park, Jae-Moon;Lee, Kyung-Do
    • 한국토양비료학회지
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    • 제50권5호
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    • pp.422-433
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    • 2017
  • Unmanned Aerial Vehicle (UAV) has several advantages over conventional remote sensing techniques. They can acquire high-resolution images quickly and repeatedly. And with a comparatively lower flight altitude, they can obtain good quality images even in cloudy weather. In this paper, we developed for estimating garlic growth at field scale model in major cultivation regions. We used the $NDVI_{UAV}$ that reflects the crop conditions, and seven meteorological elements for 3 major cultivation regions from 2015 to 2017. For this study, UAV imagery was taken at Taean, Changnyeong, and Hapcheon regions nine times from early February to late June during the garlic growing season. Four plant growth parameters, plant height (P.H.), leaf number (L.N.), plant diameter (P.D.), and fresh weight (F.W.) were measured for twenty plants per plot for each field campaign. The multiple linear regression models were suggested by using backward elimination and stepwise selection in the extraction of independent variables. As a result, model of cold type explain 82.1%, 65.9%, 64.5%, and 61.7% of the P.H., F.W., L.N., P.D. with a root mean square error (RMSE) of 7.98 cm, 5.91 g, 1.05, and 3.43 cm. Especially, model of warm type explain 92.9%, 88.6%, 62.8%, 54.6% of the P.H., P.D., L.N., F.W. with a root mean square error (RMSE) of 16.41 cm, 9.08 cm, 1.12, 19.51 g. The spatial distribution map of garlic growth was in strong agreement with the field measurements in terms of field variation and relative numerical values when $NDVI_{UAV}$ was applied to multiple linear regression models. These results will also be useful for determining the UAV multi-spectral imagery necessary to estimate growth parameters of garlic.

Managing Within-Field Spatial Yield Variation of Rice by Site-Specific Prescription of Panicle Nitrogen Fertilizer

  • Ahn Nguyen Tuan;Shin Jin Chul;Lee Byun-Woo
    • 한국작물학회지
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    • 제50권4호
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    • pp.238-246
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    • 2005
  • Rice yield and protein content have been shown to be highly variable across paddy fields. In order to characterize this spatial variability of rice within a field, two-year experiments were conducted in 2002 and 2003 in a large-scale rice field of $6,600m^2$ In year 2004, an experiment was conducted to know if variable rate treatment (VRT) of N fertilizer, that was prescribed for site-specific management at panicle initiation stage, could reduce spatial variation in yield and protein content of rice while increasing yield compared to conventional uniform N topdressing (UN, 33kg N/ha at PIS) method. VRT nitrogen prescription for each grid was calculated based on the nitrogen (N) uptake (from panicle initiation to harvest) required for target rice protein content of $6.8\%$, natural soil N supply, and recovery of top-dressed N fertilizer. The required N uptake for target rice protein content was calculated from the equations to predict rice yield and protein content from plant growth parameters at panicle initiation stage (PIS) and N uptake from PIS to harvest. This model· equations were developed from the data obtained from the previous two-year experiments. The plant growth parameters for the calculation of the required N were predicted non-destructively by canopy reflectance measurement. Soil N supply for each grid was obtained from the experiment of year 2003, and N recovery was assumed to be $60\%$ according to the previous reports. The prescribed VRT N ranged from 0 to 110kg N/ha with an average of 57kg/ha that was higher than 33 kg/ha of UN. The results showed that VRT application successfully worked not only to reduce spatial variability of rice yield and protein content but also to increase rough rice yield by 960kg/ha. The coefficient of variation (CV) for rice yield and protein content was reduced significantly to $8.1\%$ and $7.1\%$ in VRT from $14.6\%$ and $13.0\%$ in UN, respectively. And also the average protein content of milled rice in VRT showed very similar value of target protein content of $6.8\%$. In conclusion the procedure used in this paper was believed to be reliable and promising method for reducing within-field spatial variability of rice yield and protein content. However, inexpensive, reliable, and fast estimation methods of natural N supply and plant growth and nutrition status should be prepared before this method could be practically used for site-specific crop management in large-scale rice field.

수도의 건물생산 및 배분의 수리적 연구 III. 재식밀도에 따른 부위별 건물배분 (Quantitative Analysis of Dry Matter Production and its Partition in Rice III. Partitioning of Dry Matter Affected by Planting Density)

  • 조동삼;정승근;허훈;육창수
    • 한국작물학회지
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    • 제35권4호
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    • pp.328-333
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    • 1990
  • 재식밀도가 수도의 부위별 건물의 배분에 미치는 영향을 검토하고자 통일계인 삼강벼와 일반계인 추청벼를 1988년 5월 30일과 6월 15일에 3.3$m^2$당 72주, 90주 및 120주로 이항재배하여 조사한 결과를 요약하면 다음과 같다. 1. 공시품종 다같이 출수 20일전과 출수기의 단위면적당 총건물중은 5월 30일 이앙이 6월 15일 이앙보다 많았으며, 두 이앙기 모두 재식밀도가 높아질수록 건물중이 증가하였는데, 부위별 건물중의 변화도 총건물중과 같은 경향이었다. 2. 주당 총건물중 및 부위별 건물중도 5월 30일 이앙보다는 6월 15일 이앙에서 낮았으나, 단위면적당의 경우와는 달리 재식밀도가 높아질수록 감소하였다. 3. 동일한 이앙기와 재식밀도에서 엽신, 엽소 및 간의 건물중은 두 품종간에 차이가 적었으나, 삼강벼는 수중이 무거워서 총건물중이 추청벼보다 많았다. 4. 두 품종 모두 부위별 건물배분율은 이앙기나 재배밀도에 관계없이 생육시기별로 거의 일정하였다. 5. 이앙기와 재배밀도를 종합한 부위별 평균 건물배분율을 가지고 추정한 시기별 각 부위의 건물중은 실측한 건물중과 잘 일치하였다.

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Object Detection Based on Deep Learning Model for Two Stage Tracking with Pest Behavior Patterns in Soybean (Glycine max (L.) Merr.)

  • Yu-Hyeon Park;Junyong Song;Sang-Gyu Kim ;Tae-Hwan Jun
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.89-89
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    • 2022
  • Soybean (Glycine max (L.) Merr.) is a representative food resource. To preserve the integrity of soybean, it is necessary to protect soybean yield and seed quality from threats of various pests and diseases. Riptortus pedestris is a well-known insect pest that causes the greatest loss of soybean yield in South Korea. This pest not only directly reduces yields but also causes disorders and diseases in plant growth. Unfortunately, no resistant soybean resources have been reported. Therefore, it is necessary to identify the distribution and movement of Riptortus pedestris at an early stage to reduce the damage caused by insect pests. Conventionally, the human eye has performed the diagnosis of agronomic traits related to pest outbreaks. However, due to human vision's subjectivity and impermanence, it is time-consuming, requires the assistance of specialists, and is labor-intensive. Therefore, the responses and behavior patterns of Riptortus pedestris to the scent of mixture R were visualized with a 3D model through the perspective of artificial intelligence. The movement patterns of Riptortus pedestris was analyzed by using time-series image data. In addition, classification was performed through visual analysis based on a deep learning model. In the object tracking, implemented using the YOLO series model, the path of the movement of pests shows a negative reaction to a mixture Rina video scene. As a result of 3D modeling using the x, y, and z-axis of the tracked objects, 80% of the subjects showed behavioral patterns consistent with the treatment of mixture R. In addition, these studies are being conducted in the soybean field and it will be possible to preserve the yield of soybeans through the application of a pest control platform to the early stage of soybeans.

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수직형 농축수산 팜의 연구 모델 제안 (Proposal for Research Model of Agricultural and Fishery Farm Tower)

  • 이영수;신승중
    • 한국인터넷방송통신학회논문지
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    • 제24권3호
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    • pp.69-76
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    • 2024
  • 이 논문은 도시 내 지속 가능한 식량 생산을 위한 5층 구조의 수직형 농축수산 팜(팜 타워) 모델을 개발하였다. 해양농장, 축산, 무농약 자동화 농작물 팜을 통합해 자원을 효율적으로 사용하고 환경 영향을 최소화하는 방안을 제안한다. 순환 경제 원칙에 기반한 이 모델은 각 부분의 산출물을 다른 부분의 자원으로 재활용하여 시스템의 효율을 증진시키며 도시 내 유휴 공간을 활용하고, 일자리 창출과 지역 사회 참여를 촉진할 수 있다. 또한, 식량 생산의 탄소 발자국을 줄이고, 식품 안전성을 향상시키는 데 기여할 수 있다. 추가적으로, 이 연구는 진보된 농업 기술이 도시 구조에 통합되어 글로벌 식량 안보 문제에 대응할 수 있는 방안을 모색한다. 이 모델은 기후 변화와 인구 증가로 인한 식량 위기에 대한 잠재적 해결책을 제시하며, 도시 농업의 발전 방향을 제안한다. 향후 연구에서는 실제 구현을 위한 기술적, 정책적 과제를 다루어야 할 것이다.

일기상자료에 의한 읍면별 벼 작황진단 및 쌀 생산량 예측 (Regional Crop Evaluation and Yield Forecast of Paddy Rice Based on Daily Weather Observation)

  • 조경숙;윤진일
    • 한국농림기상학회지
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    • 제1권1호
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    • pp.12-19
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    • 1999
  • 생육기간중 여러 지점의 일별 기상자료에 의해 작물모형을 구동시킴으로써 벼 생육상황의 지역변이를 용이하게 감시할 수 있는 농업기상학적 작황진단기법을 경기도내 168개 읍면에 적용하였다. 기상, 토양, 재배관리 및 품종정보를 각 읍면별로 미리 준비하였다. 모형은 조생종 및 중생종 벼 특성을 갖도록 조정된 CERES-rice로서 예비실험 결과 출수기와 생리적 성숙기 예측은 적절한 것으로 나타났고, 수량은 약간 과다추정이었다. 1997년 기상자료를 이용하여 경기도 내 각 읍면별 정조수량을 추정한 다음 재배면적 가중평균을 구해 이를 시군별로 통합하여 농림부 쌀 생산량 조사자료와 비교하였다. 생육모의에 의한 시군별 단위면적당 수량 추정값의 RMSE는 1035.9였다. 최근 9년간 평균수량에 대한 1997년의 상대수량을 계산한 결과 농림부 자료에 의해 수량증가로 판정된 26개 시군 가운데 22개에서 동일한 경향을 얻었다.

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작물생산과 농업공해 및 그 대책 (Agriculture Pollution and its Countermeasures with Special Consideration of Pesticides)

  • Li, Gwo-Chen
    • 한국작물학회지
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    • 제27권4호
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    • pp.340-360
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    • 1982
  • Because of the continuing rapid increase in pesticide usage in Taiwan, much attention has been focus on pesticide contamination of food and effect of pesticides on human and environmental health. The Plant Protection Center (PPC) conducts safety evaluation of pesticides usee! in Taiwan. The pesticides are classified into different groups based on their acute toxicities. Pesticides which are classified into extremely toxic group are not allow to used on short term crops or the continuously harvest crops. The acute toxicity of pesticides to the beneficial insects are also studied, special attention has been paid to the two predators of rice brown planthopper. 60% of cultivated land in Taiwan are paddy field; therefore, acute fish toxicity was taken into consideration when a pesticide was applied for registration to be used in the paddy. Fish toxicities were evaluated by the dangerous rating value which is the amount of pesticide residue in the field water over the TLM value. Mutagenicity of pesticides was continuously evaluated by using Arne's microbial testing method. Island wide survey of residual levels of pesticides of known pollutants such as chlorinated hydrocarbon . insecticides, mercurial compounds in soil, water and biological samples were carried out constantly. The potential of a new1y Imported esticides to pollute the environment were studied by using model ecosystem. Ecological magnification (EM) of a chemical was calculated from model ecosystem. A chemical was considered as a pollutant when its EM value over 5000. In order to ensure the levels of pesticides residue of the crop within the safety limit. The 'tolerance' of pesticides on different crop groupings were established base on 1) acceptable daily intake value of individual pesticides, 2) average daily consumption of each crop groupings by Chinese person, 3) Actual residues of pesticides. on different crops obtained from supervised trials. Total about 79 pesticides for which the tolerances have been established on different crop groupings. Because the intensive agricultural system was adopted in Taiwan. The phytotoxicity of pesticides to the non-target crops was therefore become one of the important factor in the safety evaluation of pesticide usage. These will include 1) direct injury, 2) injury caused by pesticide polluted irrigation water, 3) injury caused by the pesticide polluted soil, 4) reduction of growth caused by the effect of pesticide on the soil microorganisms. This paper will reviewed all the aspects mentioned in the previous .paragraphs. Most the works have done in Taiwan by the PPC.y the PPC.

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과채류 친환경 실천 농가의 생산성 변화 분석 (An Analysis on Productivity Change in Environment-Friendly Farming of Fruit Vegetables)

  • 최돈우;김태균
    • 한국유기농업학회지
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    • 제22권2호
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    • pp.335-345
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    • 2014
  • The productivity decrease in environment-friendly farming is the biggest obstacle for the development of environment-friendly food market. This paper aimed to analyze the productivity change in environment-friendly farming of fruit vegetables (oriental melon, watermelon, and strawberry). Box-Cox transformation model was used to infer the functional form of productivity change. The results showed that the periods of productivity restoration to 90% level in oriental melon, strawberry, and watermelon were 14.1 years, 11.4 years, and 6.0 years, respectively. The forms of productivity restoration of fruit vegetables showed differences due to their growth characteristics, incidences of crop pests, preference for the environment- friendly agricultural products, cultivation period and so on. Because the form and period of productivity restoration were different depending on kinds of fruit vegetable, the government policy should be established considering this point of view.

An Improved Method for Monitoring of Soil Moisture Using NOAA-AVHRR Data

  • Fu, June;Pang, Zhiguo;Xiao, Qianguang
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.195-197
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    • 2003
  • Soil moisture is a crucial variable in research works of hydrology, meteorology and plant sciences. Adequate soil moisture is essential for plant growth; excesses and deficits of soil moisture must be considered in agricultural practices. There are already several remote sensing methods used for monitoring soil moisture, such as thermal inertia, vegetation water-supplying index, crop water stress index and multi-factor regression. In this paper, an improved method has been discussed which is based on the thermal inertia. We analyzed the problems of monitoring soil moisture using satellites at first, and then put forward an simplified method which directly uses land surface temperature differences to measure soil moisture. Also we have taken the influence of vegetation into account, and import NDVI into the model. The method was used in the study of soil moisture in Heilongjiang Province, China, and we draw the conclusion by the experiments that the model can evidently increase the precision of monitoring soil moisture.

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