• 제목/요약/키워드: crop status information

검색결과 91건 처리시간 0.031초

국내 작황 모니터링을 위한 무인항공기 적용방안 (Application Method of Unmanned Aerial Vehicle for Crop Monitoring in Korea)

  • 나상일;박찬원;소규호;안호용;이경도
    • 대한원격탐사학회지
    • /
    • 제34권5호
    • /
    • pp.829-846
    • /
    • 2018
  • 작황 모니터링은 농민들에게 최적의 작물 생산을 위한 농작업 관리 전략을 수립하는데 유용한 정보를 제공할 수 있다. 그러나 시료 채취에 의한 분석 등에 한정된 기존의 현장 모니터링 방법은 많은 시간과 노동력이 필요하다. 무인항공기는 고해상도 이미지를 신속하고 정기적으로 취득할 수 있는 장점이 있기 때문에 재배 면적, 생육인자, 생육이상 및 생산량 추정 등과 같은 작황 모니터링 분야에 효과적으로 활용될 수 있다. 또한, 위성과 비교하여 비행 고도가 낮아 흐린 날씨에서도 높은 화질의 영상을 수집할 수 있다. 본 연구는 작황 모니터링 분야에서의 무인항공기 활용 가능성을 검토하고 무인항공기 기반의 작황 정보 생산을 위한 적용방안을 제시하고자 하였다.

Nutritional Disorders, Analytical Diagnosis and Nutrient Guide for Mulberry, Morus indica L.

  • Singhal, B.K.;Chakraborti, S.;Rajan, Mala V.;Thippeswamy, T.
    • International Journal of Industrial Entomology and Biomaterials
    • /
    • 제8권1호
    • /
    • pp.1-15
    • /
    • 2004
  • Due to recent scientific innovations in mulberry cultivation, leaf yield has been increased manifold. However, with successive leaf harvest, a quantum drop in leaf yield and quality has been noted. This inturn has affected the silkworm rearing and farmers suffered by the frequent crop failures. This is mainly due to nutrient deficiencies in mulberry leaf. Moreover, no complete information is available about hunger signs of nutritional disorders, analytical diagnosis and critical levels of nutrients required. The present paper, thus, may serve as an important nutrient guide for identification of hunger signs, leaf nutrients status under deficiency and critical levels of the elements namely N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn requirements for higher leaf yield and quality. The leaf nutrient status provided may help chemist for correcting the soil status. Besides, an integration of mulberry intercropping with legumes and applications of neem and castor oil cakes, VA-mycorrhizal inoculation, biofertilizer and vermicompost are suggested as integrated nutrient management for sustainable sericulture industry. Based on the information described in this paper, a model needs to be framed for maintaining continuous supply of nutrients to obtain desired quantity and quality of mulberry leaf for successful silkworm cocoon crop and increasing overall silk productivity.

Potential Application Topics of KOMPSAT-3 Image in the Field of Precision Agriculture

  • Kim, Seong-Joon;Lee, Mi-Seon;Kim, Sang-Ho;Park, Genn-Ae
    • 한국농공학회논문집
    • /
    • 제48권7호
    • /
    • pp.17-22
    • /
    • 2006
  • Potential application topics of KOMPSAT-3 image in the field of precision agriculture are suggested. The topics can be categorized as fundamental and applied ones that have contents of static and dynamic characteristics respectively. As fundamental topics, precision information of agriculture that is related to farmland and its crop attributes, precision information of rural infrastructure that is related to rural village and its facilities, precision information of stream environment that is related to rural water resources and its facilities, and precision information of eco-environment that is especially related to riparian ecology and environmental status are included. As applied topics, precision rural water resources that has thematic contents of continuous and event-based runoff, spatial and temporal soil moisture and evapotranspiration, precision agricultural watershed environment that has the contents of spatial and temporal soil loss, sediment and pollutants transport, and precision temporal and spatial crop growth that has the contents of temporal crop texture, spectral reflectance, leaf area index, spatial crop protein information.

POTENTIAL APPLICATION TOPICS OF KOMPSAT-3 IMAGE IN THE FIELD OF PRECISION AGRICULTURE MODEL

  • Kim, Seong-Joon;Lee, Mi-Seon;Kim, Sang-Ho;Park, Geun-Ae
    • 대한원격탐사학회:학술대회논문집
    • /
    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
    • /
    • pp.432-435
    • /
    • 2006
  • Potential application topics of KOMPSAT-3 image in the field of precision agriculture are suggested. The topics can be categorized as fundamental and applied ones that have contents of static and dynamic characteristics respectively. As fundamental topics, precision information of agriculture that is related to farmland and its crop attributes, precision information of rural infrastructure that is related to rural village and its facilities, precision information of stream environment that is related to rural water resources and its facilities, and precision information of eco-environment that is especially related to riparian ecology and environmental status are included. As applied topics, precision rural water resources that has thematic contents of continuous and event-based runoff, spatial and temporal soil moisture and evapotranspiration, precision agricultural watershed environment that has the contents of spatial and temporal soil loss, sediment and pollutants transport, and precision temporal and spatial crop growth that has the contents of temporal crop texture, spectral reflectance, leaf area index, spatial crop protein information.

  • PDF

Estimating Optimal-Band of NDVI and GNDVI by Vegetation Reflectance Characteristics of Crops.

  • Shin, Hyoung-Sub;Park, Jong-Hwa;Park, Jin-Ki;Kim, Seong-Joon;Lee, Mi-Seon
    • 대한원격탐사학회:학술대회논문집
    • /
    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
    • /
    • pp.151-154
    • /
    • 2008
  • Information on the area and spatial distribution of crop fields is needed for biomass production, arrangement of water resources, trace gas emission estimates, and food security. The present study aims to monitor crops status during the growing season by estimating its aboveground biomass and leaf area index (LAI) from field reflectance taken with a hand-held radiometer. Field reflectance values were collected over specific spectral bandwidths using a handheld radiometer(LI-1800). A methodology is described to use spectral reflectance as indicators of the vegetative status in crop cultures. Two vegetation indices were derived from these spectral measurements. In this paper, first we analyze each spectral reflectance characteristics of vegetation in the order of growth stage. Vegetation indices (NDVI, GNDVI) were calculated from crop reflectance. And assess the nature of relationships between LAI and VI, as measured by the in situ NDVI and GNDVI. Among the two VI, NDVI showed predictive ability across a wider range of LAI than did GNDVI. Specific objectives were to determine the relative accuracy of these two vegetation indices for predicting LAI. The results of this study indicated that the NDVI and GNDVI could potentially be applied to monitor crop agriculture on a timely and frequent basis.

  • PDF

농업정보의 특성과 지역 농업정보망 구축에 있어 대학의 역할 (Overview of Agricultural Information Systems and Role of Colleges in Local Agricultural Information System in Korea)

  • 이정규
    • 한국작물학회:학술대회논문집
    • /
    • 한국작물학회 1998년도 21세기 한반도 농업전망과 대책(한국작물학회.한국육종학회 공동주관 심포지움 회보)
    • /
    • pp.368-390
    • /
    • 1998
  • It is urgent and of great importance for us to integrate and systemize the agricultural Information system available in Korea. In order to modernize the new Korean agricultural information system, which is enable to enhance compatability of domestic agricultural production system to those of abroad, and to be ready for the era of information and communication, every individual effort and progress is to be evaluated and systemized based on an integrated network system. In this study a comprehensive review for the present status of the Korean agricultural information system was made, and to prohibit the progress and development of this sector were the barriers identified. A survey was carried out to assess specific agricultural information demanded by local farmers. For the efficient utilization of the local agricultural information, the role of agricultural colleges was emphasized.

  • PDF

IOT를 이용한 DB기반 농작물 자동재배에 관한 연구 (A Study on DB base Auto Cultivation of Crops Using IOT)

  • 조영석
    • 디지털산업정보학회논문지
    • /
    • 제13권4호
    • /
    • pp.25-31
    • /
    • 2017
  • In this paper, we propose a study on DB-based automatic crop cultivation that obtains crop cultivation data using IOT and automatically controls the cultivation environment using it. A system for DB-based automatic crop cultivation that automatically controls the cultivation environment is composed of a management server and a local controller. The management server was implemented using the MySQL DB in the Linux server system, and the local controller was designed and manufactured using the WiFi module and ARM Coretax-3 series MCU and confirmed its operation in the laboratory. The purpose of this study is to provide the optimal cultivation data and to grasp the cultivation status in real time when the knowledge of professional cultivation is needed like the farmers of ear farm villages. Research should continue to enable the cultivation of crops to reflect the requirements of each user.

패모린경의 무게와 생육과의 관계 (Studies on the Relation between the Weight of Rhizoma-bulb and the Growth of Fritillaria ussuriensis Max.)

  • 박종선
    • 한국작물학회지
    • /
    • 제23권2호
    • /
    • pp.141-144
    • /
    • 1978
  • 패모린경의 무게를 15gr, 3gr, 5gr, 7gr, 9gr의 5등급별로 나뉘어 파종하였을 때에 그에 따른 발아상태, 초장, 개화, 자구 및 수량에 대하여 조사하였다. 1. 인경의 무게가 1.5gr 및 3gr되는 것은 발아시, 발아기간이 5gr, 7gr, 및 9gr되는 것에 비하여 발아시가 늦고 발아기간이 긴 경향을 나타냈고, 초장도 3∼5분지 1밖에 되지 않었다. 2. 개화는 인경이 무겁고 영양상태가 양호한 7gr∼9gr 상태에서 50%∼75% 였으나, 3gr이하의 것은 1%에 불과했다. 또한 자구는 5gr이상에서 현저한 증가를 보였다. 3. 수량을 증가시키기 위하여서는 5gr이상의 패모를 사용하여야 한다는 사실을 알게 되었다.

  • PDF

Applications of Ground-Based Remote Sensing for Precision Agriculture

  • Hong Soon-Dal;Schepers James S.
    • 한국작물학회:학술대회논문집
    • /
    • 한국작물학회 2005년도 국제학술회의
    • /
    • pp.100-113
    • /
    • 2005
  • Leaf color and plant vigor are key indicators of crop health. These visual plant attributes are frequently used by greenhouse managers, producers, and consultants to make water, nutrient, and disease management decisions. Remote sensing techniques can quickly quantify soil and plant attributes, but it requires humans to translate such data into meaningful information. Over time, scientists have used reflectance data from individual wavebands to develop a series of indices that attempt to quantify things like soil organic matter content, leaf chlorophyll concentration, leaf area index, vegetative cover, amount of living biomass, and grain yield. The recent introduction of active sensors that function independent of natural light has greatly expanded the capabilities of scientists and managers to obtain useful information. Characteristics and limitations of active sensors need to be understood to optimize their use for making improved management decisions. Pot experiments involving sand culture were conducted in 2003 and 2004 in a green house to evaluate corn and red pepper biomass. The rNDVI, gNDVI and aNDVI by ground-based remote sensors were used for evaluation of corn and red pepper biomass. The result obtained from the case study was shown that ground remote sensing as a non-destructive real-time assessment of plant nitrogen status was thought to be a useful tool for in season crop nitrogen management providing both spatial and temporal information.

  • PDF

멀티 스펙트럴 이미지 센서를 이용한 감자의 생육정보 예측 (Estimation of the Potato Growth Information Using Multi-Spectral Image Sensor)

  • 강태환;야구신
    • Journal of Biosystems Engineering
    • /
    • 제36권3호
    • /
    • pp.180-186
    • /
    • 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.