• 한국컴퓨터정보학회논문지
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• 제28권4호
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• pp.113-120
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• 2023

스마트 팜은 IoT 기술과 인공지능 기술이 접목되면서 농작물에 투입되는 노동력·에너지·양분 등을 최소화는 연구가 꾸준히 증가하고 있는 상황이다. 그러나, 스마트 팜에서 농작물의 생육 정보를 효율적으로 관리하는 연구는 현재까지 미진한 상태이다. 본 논문에서는 스마트 팜에 자율 센서를 적용하여 농작물의 생육 정보를 효율적으로 모니터링할 수 있는 관리 기법을 제안한다. 제안 기법은 농작물의 생육 정보를 자율 센서를 통해 수집한 후 생육 정보를 농작물 재배에 재활용하는데 초점을 갖는다. 특히, 제안 기법은 농작물의 생육 정보를 한 슬롯으로 할당한 후 로드밸런싱을 수행하도록 농작물별로 가중치를 부여하며, 농작물의 생육 정보 간의 간섭을 서로 최소화한다. 또한, 제안 기법은 농작물의 생육 정보를 4단계 (센싱 탐지 단계, 센싱 전송 단계, 애플리케이션 처리 단계, 데이터 관리 단계 등)로 처리할 때, 농작물의 중요 관리점을 실시간으로 전산화하기 때문에 관리 기준 이외의 경우에는 즉각적인 경고 시스템이 동작한다. 성능평가 결과, 자율 센서의 정확도는 기존 기법보다 평균 22.9%의 향상된 결과를 얻었으며, 효율성은 기존 기법보다 평균 16.4% 향상된 결과를 얻었다.

• Journal of Biosystems Engineering
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• 제24권1호
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• pp.25-30
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• 1999

The effectiveness of many greenhouse environment control methodologies depends on the growth information of crops. Acquisition of the growth information of crops requires a non-invasive and continuous monitoring method. Crop growth monitoring system using digital imaging technique was developed to conduct non-destructive and intact plant growth analyses. The monitoring system automatically measures crop growth information sends an appropriate control signal to the nutrient solution supplying system. To develop the monitoring system, a linear model that explains the relationship between the fresh weight and the top projected leaf area of a lettuce plant was developed from an experiment. The monitoring system was evaluated buy successive lettuce growing experiments. Results of the experiments showed that the developed system could estimate the fresh weight of lettuce from a lettuce image by using the linear model and generate an EC control signal according to the lettuce growth stage.

• 대한원격탐사학회지
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• 제37권5_1호
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• pp.1199-1206
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• 2021

원격탐사 기술을 이용하면 작물의 생육·생리 상태를 비파괴적이고 연속적으로 탐지할 수 있어 그 농업적 활용 가치가 크다. 원격탐사 기반 센서를 농장에 설치하여 스마트팜 시스템에 활용하면, 작물의 이상 여부를 실시간으로 연속해서 감시하여 농업정보(Agro-information)를 생산할 수 있다. 하지만, 작물은 동적으로 변하는 생물이므로, 관측 물리량이 작물의 이상 상태를 나타내는 것인지 생육단계에 따른 생육 변화를 나타내는 것인지 판단하기는 쉽지 않다. 따라서, 작물의 표준 생육정보(Standard growth information) 와 비교한 상대적인 생육을 파악해야 한다. 이상적인 재배관리에서 획득한 작물 생육관련 누적기온인 GDD (Growing Degree Days)와 식생지수의 관계를 표준 생육정보로 두고, 표준 재배관리 시행 논과 무비료처리한 논 각각에서 분광반사측정 센서로 관측된 식생지수(NDVI, Normalized Difference Vegetation Index; CCI, Chlorophyll/Carotenoid Index)와 비교해 작물 상태를 파악했다. 영양생장기 동안에는 생육 정도에 따라 NDVI의 차이가 나타났으며, 식물 스트레스에 따라 CCI가 반응했다. 벼가 익는 동안은 NDVI와 CCI 모두 감소하지만, 표준 생육에서 노화에 따른 그 감소 폭이 더 컸다. 향후 공학적 관측 기법과 농학적 해석 방법을 융합하여 유용한 농업정보를 생산하기 위해 다양한 기후조건과 품종을 대상으로 표준 생육정보 데이터베이스 구축이 필요하겠다.

• 한국유기농업학회지
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• 제25권2호
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• pp.279-293
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• 2017

This study suggests the yield forecast models for autumn chinese cabbage and radish using crop growth and development information. For this, we construct 24 alternative yield forecast models and compare the predictive power using root mean square percentage errors. The results shows that the predictive power of model including crop growth and development informations is better than model which does not include those informations. But the forecast errors of best forecast models exceeds 5%. Thus it is important to establish reliable data and improve forecast models.

• Journal of Biosystems Engineering
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• 제23권3호
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• pp.285-290
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• 1998

Growth information of crops is essential for efficient control of greenhouse environment. However, a few non-invasive and continuous monitoring methods of crop growth has been developed. A computer vision system with a CCD camera and a frame grabber was developed to conduct non-destructive and intact plant growth analyses. The developed system was evaluated by conducting the growth analysis of lettuce. A linear model that explains the relationship between the relative crop coverage by the crop canopy and dry weight of a lettuce was presented. It was shown that this measurement method could estimate the dry weight from the relative crop coverage by the crop canopy. The result also showed that there was a high correlation between the projected top leaf area and the dry weight of the lettuce.

• Journal of Biosystems Engineering
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• 제36권3호
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• pp.180-186
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• 2011

The objective of this research was to establish the estimation method of growth information on potato using Multi-Spectral Image Sensor (MSIS) and Global Positioning System (GPS). And growth estimation map for determining a prescription map over the entire field was generated. To determine the growth model, 10 ground-truth points of areas of $4m^2$ each were selected and investigated. The growth information included stem number, crop height and SPAD value. In addition, images information involving the ground-truth points were also taken by an unmanned helicopter, and reflectance value of Green, Red, and NIR bands were calculated with image processing. Then, growth status of potato was modeled by multi-regression analysis using these reflectance value of Green, Red, and NIR. As a result, potato growth information could be detected by analyzing Green, Red, and NIR images. Stem number, crop height and SPAD value could be estimated with $R^2$ values of 0.600, 0.657 and 0.747 respectively. The generated GIS map would describe variability of the potato growth in a whole field.

• 대한원격탐사학회지
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• 제33권5_2호
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• pp.751-762
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• 2017

작황 정보 시스템은 작물 분포, 작황 정보 및 생산량에 대한 모니터링, 예측, 추정 또는 분석과 같은 다양한 형태를 통해 정보를 제공하며 본 논문은 한국, 미국 및 중국 데이터를 기반으로 구축한 웹기반 작황 정보 시스템을 제안한다. 온도, 강수량 및 일사량의 기후 데이터는 작물 성장에 미치는 영향을 분석하는데 사용되었으며, NDVI 데이터와 작물구분도 데이터는 각각 작물 모니터링과 작물 분포 관리를 목적으로 사용되었다. 본 시스템은 3가지의 주요 장점을 갖고 있으며 이는 다음과 같다: 1) 높은 시간 해상도의 데이터를 통한 정보 제공, 2) 보유 데이터 분석을 통한 보고서 작성의 자동화, 3) 사용자의 편리성을 위한 기능 제공.

• Weed & Turfgrass Science
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• 제7권1호
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• pp.22-34
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• 2018

Miscanthus has been considered as the most promising bioenergy crop for lignocellulosic biomass production. In Korea, M. sacchariflorus and M. sinensis can be found easily in all regions. It is a great advantage to utilize as important species with respect to genetic and cross-breeding programs materials for creation of novel hybrids. For successful breeding programs, it is important to precisely understand the variability of morphological and growth characteristics among Miscanthus species as breeding parent materials. In this study, morphological and growth characteristics were observed in 960 germplasms of two Miscanthus species (M. sacchariflorus and M. sinensis) for growing seasons over three years. Due to the inherent characteristics of these species, the germplasm of M. sacchariflorus among the collected germplasm were reduced in plant height than in the collection area. In M. sinensis, the plant height of germplasm collected mainly from Jeju-do increased more than those collected from collection area. Sixty-one of the collected 960 germplasms were selected and investigated to the morphological characteristics. Based on the investigated morphological data, the phylogenic tree was developed. As the results, it was confirmed that there exist germplasm in which the characteristics of M. sacchariflorus and M. sinensis are mixed. This study of Miscanthus may provide an important information in order to expedite the introduction as breeding materials for creation of new hybrid.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2017년도 춘계공동학술대회
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• pp.45-45
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• 2017

On-site monitoring of vegetable growth parameters, such as leaf length, leaf area, and fresh weight, in an agricultural field can provide useful information for farmers to establish farm management strategies suitable for optimum production of vegetables. Unmanned Aerial Vehicles (UAVs) are currently gaining a growing interest for agricultural applications. This study reports on validation testing of previously developed vegetable growth estimation models based on UAV-based RGB images for white radish and Chinese cabbage. Specific objective was to investigate the potential of the UAV-based RGB camera system for effectively quantifying temporal and spatial variability in the growth status of white radish and Chinese cabbage in a field. RGB images were acquired based on an automated flight mission with a multi-rotor UAV equipped with a low-cost RGB camera while automatically tracking on a predefined path. The acquired images were initially geo-located based on the log data of flight information saved into the UAV, and then mosaicked using a commerical image processing software. Otsu threshold-based crop coverage and DSM-based crop height were used as two predictor variables of the previously developed multiple linear regression models to estimate growth parameters of vegetables. The predictive capabilities of the UAV sensing system for estimating the growth parameters of the two vegetables were evaluated quantitatively by comparing to ground truth data. There were highly linear relationships between the actual and estimated leaf lengths, widths, and fresh weights, showing coefficients of determination up to 0.7. However, there were differences in slope between the ground truth and estimated values lower than 0.5, thereby requiring the use of a site-specific normalization method.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2016년도 제54차 하계학술대회논문집 24권2호
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• pp.271-272
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• 2016

Owing to the development of information communication technology(ICT), there are many changes taking place in the agriculture sector. As an example, an effective agricultural activities with ICT have brought an increase in agricultural production. On the other hand, these technology investment activities are very costly. Until recently, the technology development has been made in agricultural technology development perspective. This view, however, has been changed to production increase in accordance with the crop growth conditions. In this paper, we propose a device which can maintain an optimal crop growing environment. It is economic by utilizing the existing facility of farmhouse and can reduce the cost of crop growth environment improvement.