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열화상 카메라 활용을 위한 토양비료, 차광생육, 유전특성 차이 관련 작물생리 원격탐지
문현동,조유나,조은이,김현기,김보경,정회정,권동원,조재일,Moon, Hyun-Dong,Cho, Yuna,Jo, Euni,Kim, Hyunki,Kim, Bo-kyeong,Jeong, Hoejeong,Kwon, Dongwon,Cho, Jaeil 대한원격탐사학회 2022 大韓遠隔探査學會誌 Vol.38 No.6
The leaf temperature is principally regulated by the opening and closing of stomata that is sensitive to various kinds of plant physiological stress. Thus, the analysis of thermal imagery, one of remote sensing technique, will be useful to detect crop physiological condition on smart farm system and phenomics platform. However, there are few case studies using a thermal imaging camera on the agricultural application. In this study, three cases are presented: the effect of lime fertilizer on the rice, the different physiological properties of soybean under shading condition, and the screening of soybean breeds for salinity tolerance characteristic. The leaf temperature measured by thermal imaging camera on the three cases was used effectively to the physiological change and characteristics. However, the thermal imagery analysis requires considering the accuracy of measured temperature and the weather conditions that affects to the leaf temperature.
작물 가뭄스트레스 조기탐지 가능성 타진을 위한 서로 다른 종류의 식생지수 활용
문현동,조은이,조유나,김현기,김보경,이유현,정회정,권동원,조재일,Moon, Hyun-Dong,Jo, Euni,Cho, Yuna,Kim, Hyunki,Kim, Bo-kyeong,Lee, Yuhyeon,Jeong, Hoejeong,Kwon, Dongwon,Cho, Jaeil 대한원격탐사학회 2022 大韓遠隔探査學會誌 Vol.38 No.6
The irrigation schedule system using early detection of crop water stress is required to maintain crop production and save water resource. However, because previous studies focused on the crop under stress dominant condition, the crop physiological properties, which can be measured by remote sensing technique, on early crop water stress condition are not well known. In this study, the canopy temperature, MERIS Terrestrial Chlorophyll Index (MTCI), and Chlorophyll/Carotenoid Index (CCI) are observed on the soybeans given the early water stress using thermal imaging camera and hyperspectral camera. The increased canopy temperature and decreased MTCI are consist with the previous studies which are for the crop of stress dominant-sign. However, the CCI was increased contrary to expectation because it may faster the reduction of carotenoid than chlorophyll in early stage. These behaviors will be useful to not only develop the irrigation system but also using the early detection of crop stress.
RGB 작물 생육지수를 활용한 콩 한발 스트레스 판별기술 평가
상완규 ( Wan-gyu Sang ),김준환 ( Jun-hwan Kim ),백재경 ( Jae-kyeong Baek ),권동원 ( Dongwon Kwon ),반호영 ( Ho-young Ban ),조정일 ( Jung-il Cho ),서명철 ( Myung-chul Seo ) 한국농림기상학회 2021 한국농림기상학회지 Vol.23 No.4
본 연구는 콩의 한발 스트레스 판별에 대하여 RGB 영상에 기반한 작물 생육 지수의 적용 가능성과 한계점을 구명하기 위해 수행되었다. RGB 영상에서 추출한 생육 지수들과 한발 스트레스에 반응하는 대표적인 표현형 지표들(군락 피복도, 엽면적, 엽록소 함량 등)과의 높은 상관관계를 통해 영상 기반 생육 진단 모델개발의 가능성을 확인할 수 있었다. 다만 판별의 정확도와 해상도를 개선시키기 위해서는 향후 다양한 재배 조건에서 지속적인 성능 평가가 이루어져야 할 것이다. 본 연구의 결과는 향후 RGB 영상을 활용한 콩 환경 스트레스 판별에 있어서 영상 전처리, 영상 분석 방법, 생육 지수 정량화 기술 개발에 도움을 줄 수 있을 것이며, 개발된 생육 인자 예측 모델은 환경 스트레스 조기 진단을 통한 영농 의사결정 지원 모델의 개발에 기여할 수 있을 것으로 판단된다. Continuous monitoring of RGB (Red, Green, Blue) vegetation indices is important to apply remote sensing technology for the estimation of crop growth. In this study, we evaluated the performance of eight vegetation indices derived from soybean RGB images with various agronomic parameters under drought stress condition. Drought stress influenced the behavior of various RGB vegetation indices related soybean canopy architecture and leaf color. In particular, reported vegetation indices such as ExGR (Excessive green index minus excess red index), Ipca (Principal Component Analysis Index), NGRDI (Normalized Green Red Difference Index), VARI (Visible Atmospherically Resistance Index), SAVI (Soil Adjusted Vegetation Index) were effective tools in obtaining canopy coverage and leaf chlorophyll content in soybean field. In addition, the RGB vegetation indices related to leaf color responded more sensitively to drought stress than those related to canopy coverage. The PLS-DA (Partial Squares-Discriminant Analysis) results showed that the separation of RGB vegetation indices was distinct by drought stress. The results, yet preliminary, display the potential of applying vegetation indices based on RGB images as a tool for monitoring crop environmental stress.
Oryza2000 모형 활용을 위한 육묘기 보온 상승온도 결정
김준환 ( Junhwan Kim ),상완규 ( Wangyu Sang ),신평 ( Pyeong Shin ),백재경 ( Jaekyeong Baek ),권동원 ( Dongwon Kwon ),이윤호 ( Yunho Lee ),조정일 ( Jung-il Cho ),서명철 ( Myungchul Seo ) 한국농림기상학회 2020 한국농림기상학회지 Vol.22 No.1
Spatial simulation of crop growth often requires application of management conditions to each cell. In particular, it is of great importance to determine the temperature conditions during the nursery period for rice seedlings, which would affect heading date projections. The objective of this study was to determine the value of TMPSB, which is the parameter of ORYZA2000 model to represent temperature increase under a plastic tunnel during the rice seedling periods. Candidate values of TMPSB including 0℃, 2℃, 5℃, 7℃ and 9℃ were used to simulate rice growth and yield. Planting dates were set from mid-April to mid-June. The simulations were performed at four sites including Cheorwon, Suwon, Seosan, and Gwangju where climate conditions at rice fields common in Korea can be represented. It was found that the TMPSB values of 0℃ and 2℃ resulted in a large variation of heading date due to low temperature occurred in mid-April. When the TMPSB value was >7℃, the variation of heading date was relatively small. Still, the TMPSB value of 5℃ resulted in the least variation of heading date for all the planting dates. Our results suggested that the TMPSB value of 5℃ would help reasonable assessment of climate change impact on rice production when high resolution gridded weather data are used as inputs to ORYZA2000 model over South Korea.