• 제목/요약/키워드: agricultural task

검색결과 151건 처리시간 0.024초

Optimization of Finite Element Retina by GA for Plant Growth Neuro Modeling

  • Murase, H.
    • Agricultural and Biosystems Engineering
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    • 제1권1호
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    • pp.22-29
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    • 2000
  • The development of bio-response feedback control system known as the speaking plant approach has been a challenging task for plant production engineers and scientists. In order to achieve the aim of developing such a bio-response feedback control system, the primary concern should be to develop a practical non-invasive technique for monitoring plant growth. Those who are skilled in raising plants can sense whether their plants are under adequate water conditions or not, for example, by merely observing minor color and tone changes before the plants wilt. Consequently, using machine vision, it may be possible to recognize changes in indices that describe plant conditions based on the appearance of growing plants. The interpretation of image information of plants may be based on image features extracted from the original pictorial image. In this study, the performance of a finite element retina was optimized by a genetic algorithm. The optimized finite element retina was evaluated based on the performance of neural plant growth monitor that requires input data given by the finite element retina.

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전천후농업용수원 개발을 위한 중요하천 수계별 기본조사의 실시 (Basic Investigation on the Water Resource Development of the Principal Riever Basins for All Weather Farming)

  • 임은진
    • 한국농공학회지
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    • 제9권2호
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    • pp.1291-1295
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    • 1967
  • This paper is a brief description on the task of the basic investigation of the water resource development of the principal river basins in this country for all- weather farming. In order to show how the people in the nation can best be benefited by further development of the water resources of the basins, this paper includes a description of the in individual basin's resource, its needs and problems, and its present and future development of the water resources within the natural drainage basin of the rivers are listed and their over-all results are summarised in the investigation report and separately filled. It is hoped that the government should continue and expand its detailed investigations of potential projects within the each principal river basin to obtain adequate information by which the Union of Land improvement Association can formulate a comprehensive plan for use of all the water resources of the basin's and select and recommend projects for successive stages of development.

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농촌어메니티자원 검색을 위한 온톨로지 활용방안 (Ontology-based Information Retrieval Algorithm in Rural Amenity Resources)

  • 이지민;박미정;이정재
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2005년도 학술발표논문집
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    • pp.450-455
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    • 2005
  • Effective information "query and retrieval" process is one of the fundamental problems in the field communication and information science and has become especially important due to dramatic increase in magnitude of information to be processed in modern era. Of particular importance at information exchange process, our study focuses on compositions of proper queries and retrieval of rural amenity resources. This particular task has been difficult because the rural amenity resources does not necessarily carry measurable traits and also contains huge amount of data. In this Letter, we propose an alternative approach to the architecture of the resource information system by use of a noble retrieval algorithm based on ontology. Test of efficiency and applicability of this new scheme was conducted, and it showed that this has possibility to be effective information retrieval process of rural amenity resources.

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지역균형 발전과 농촌 지역사회개발정책 (A Study on the Balance of Regional Development and Policy Tasks for Rural community Development)

  • 김태호
    • 농촌지도와개발
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    • 제3권2호
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    • pp.233-246
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    • 1996
  • Reviewing the meaning aid task of balance of regional development, this papa examines the causes of the underdevelopment of rural areas in relation to the urbanization process, probes the concept, principle and necessity of rural community development, and suggests the policy tasks for rural community development in the perspective of regionally balanced development. Since 1960's, Korea has pursued a growth-oriented economic policy. The focus on the aggregated growth, however, has resulted bo invite some regional disparity problems. In the process of development, regional disparity problems were quite a large rural areas compared with urban areas relatively. The under-development of rural areas is deeply correlated with the overcrowding (or overconcentration) phenomena of urban(or metropolitan) areas. The urban-biased policy is the primary cause of the deepening regional imbalance structure between urban and rural areas. The inter-regions equitable and well-balanced development is one of the national policy issues by which the government is confronted, since the issue is closely related with national quality of life. Main three policy tasks for rural community development were 'the new paradigm of development policy' , 'local-oriented policy' and 'human-oriented policy'.

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Multiple Properties-Based Moving Object Detection Algorithm

  • Zhou, Changjian;Xing, Jinge;Liu, Haibo
    • Journal of Information Processing Systems
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    • 제17권1호
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    • pp.124-135
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    • 2021
  • Object detection is a fundamental yet challenging task in computer vision that plays an important role in object recognition, tracking, scene analysis and understanding. This paper aims to propose a multiproperty fusion algorithm for moving object detection. First, we build a scale-invariant feature transform (SIFT) vector field and analyze vectors in the SIFT vector field to divide vectors in the SIFT vector field into different classes. Second, the distance of each class is calculated by dispersion analysis. Next, the target and contour can be extracted, and then we segment the different images, reversal process and carry on morphological processing, the moving objects can be detected. The experimental results have good stability, accuracy and efficiency.

XPE기반 원격방제용 농업로봇의 H/W 및 S/W 플랫폼 개발 (A development of H/W and S/W platform of remote controllable agricultural robot based on XP embedded system)

  • 현웅근
    • 한국전자통신학회논문지
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    • 제7권5호
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    • pp.1125-1131
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    • 2012
  • 농촌 노동력의 급격한 감소 및 고령화에 따라 저가의 농업로봇의 개발이 시급한 과제가 되어왔다. 본 논문에서는 농업용 방제 로봇의 H/W제어구조 및 S/W 플랫폼 개발에 대하여 기술한다. 개발된 로봇은 2 축의 캐터필러형 구동부와 2축의 방제기구 제어부를 구동부로 갖추고 있다. H/W 제어구조로써, 임베디드 XPE 기반 로봇 제어부, 원격 조종부, 그리고 센서 제어부로 구성된다. SW 플랫폼에서는 태스크 매니저, 원격 영상 및 데이터 통신을 위한 TCP-IP 통신 프로세스, 구동부 제어 프로세스, 위치 및 환경 인식 프로세스, 센서제어부 프로세스 등 5개의 프로세스가 동시에 동작한다. 개발된 농업용 원격 방제로봇을 필드테스트를 통하여 유용성을 시험하였다.

오이, 참외, 감자 작목에서의 정식, 수확작업시 총분진과 엔도톡신 노출 특성에 관한 연구 (Research on Exposure to Total Dust and Endotoxin during Planting and Harvest Tasks at Cucumber, Yellow Melon and Potato Farms)

  • 김효철;이경숙;채혜선;민경두;김경란;박윤석
    • 한국산업보건학회지
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    • 제23권4호
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    • pp.412-420
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    • 2013
  • Objectives: This study was conducted in order to evaluate personal and area exposure to airborne total dust and endotoxin during harvest and planting tasks at cucumber, yellow melon and potato farms Materials and Methods: Total dust was measured with NIOSH method 0500. Endotoxin were measured using a 37 mm glass fiber filter which was connected to an air pump calibrated to 2 LPM, and then analyzed with a Turbidmetric kinetic method. Results: The average(arithmetic mean) concentrations of total dust in the personal samples were $0.10-3.81mg/m^3$ for cucumbers, $0.21-1.19mg/m^3$ for yellow melon, and $0.08-2.72mg/m^3$ for potato. There was a significant difference in the harvest task among the three farm types(p=0.019 of personal sample, p=0.048 of area sample), in which the air concentration for potatoes was higher than with cucumbers and yellow melons. Conclusions: It was found that potatoes(planting and harvest) should be considered the first priority for studying and reducing total dust exposure.

New Sources of Resistance and Identification of DNA Marker Loci for Sheath Blight Disease Caused by Rhizoctonia solani Kuhn, in Rice

  • Pachai, Poonguzhali;Ashish, Chauhan;Abinash, Kar;Shivaji, Lavale;Spurthi N., Nayak;S.K., Prashanthi
    • The Plant Pathology Journal
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    • 제38권6호
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    • pp.572-582
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    • 2022
  • Sheath blight disease caused by the necrotrophic, soilborne pathogen Rhizoctonia solani Kuhn, is the global threat to rice production. Lack of reliable stable resistance sources in rice germplasm pool for sheath blight has made resistance breeding a very difficult task. In the current study, 101 rice landraces were screened against R. solani under artificial epiphytotics and identified six moderately resistant landraces, Jigguvaratiga, Honasu, Jeer Sali, Jeeraga-2, BiliKagga, and Medini Sannabatta with relative lesion height (RLH) range of 21-30%. Landrace Jigguvaratiga with consistent and better level of resistance (21% RLH) than resistant check Tetep (RLH 28%) was used to develop mapping population. DNA markers associated with ShB resistance were identified in F2 mapping population developed from Jigguvaratiga × BPT5204 (susceptible variety) using bulk segregant analysis. Among 56 parental polymorphic markers, RM5556, RM6208, and RM7 were polymorphic between the bulks. Single marker analysis indicated the significant association of ShB with RM5556 and RM6208 with phenotypic variance (R2) of 28.29 and 20.06%, respectively. Co-segregation analysis confirmed the strong association of RM5556 and RM6208 located on chromosome 8 for ShB trait. This is the first report on association of RM6208 marker for ShB resistance. In silico analysis revealed that RM6208 loci resides the stearoyl ACP desaturases protein, which is involved in defense mechanism against plant pathogens. RM5556 loci resides a protein, with unknown function. The putative candidate genes or quantitative trait locus harbouring at the marker interval of RM5556 and RM6208 can be further used to develop ShB resistant varieties using molecular breeding approaches.

Effect of prenatal different auditory environment on learning ability and fearfulness in chicks

  • Zhao, Shuai;Xu, Chunzhu;Zhang, Runxiang;Li, Xiang;Li, Jianhong;Bao, Jun
    • Animal Bioscience
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    • 제35권9호
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    • pp.1454-1460
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    • 2022
  • Objective: Early environmental enrichment in life can improve cognition in animals. The effect of prenatal auditory stimulation on learning ability and fear level in chick embryos remained unexplored. Therefore, this study investigated the effect of prenatal auditory stimulation on the learning ability and fear level of chicks. Methods: A total of 450 fertilized eggs were randomly divided into 5 groups, including control group (C), low-sound intensity music group (LM), low-sound intensity noise group (LN), high-sound intensity noise group (HN) and high-sound intensity music group (HM). From the 10th day of embryonic development until hatching, group LM and group LN received 65 to 75 dB of music and noise stimulation. Group HN and group HM received 85 to 95 dB of noise and music stimulation, and group C received no additional sound. At the end of incubation, the one-trial passive avoidance learning (PAL) task and tonic immobility (TI) tests were carried out, and the serum corticosterone (CORT) and serotonin (5-HT) concentrations were determined. Results: The results showed that compared with the group C, 65 to 75 dB of music and noise stimulation did not affect the PAL avoidance rate (p>0.05), duration of TI (p>0.05) and the concentration of CORT (p>0.05) and 5-HT (p>0.05) in chicks. However, 85 to 95 dB of music and noise stimulation could reduce duration of TI (p<0.05) and the concentration of CORT (p<0.05), but no significant effect was observed on the concentration of 5-HT (p>0.05) and PAL avoidance rate (p>0.05). Conclusion: Therefore, the prenatal auditory stimulation of 85 to 95 dB can effectively reduce the fear level of chicks while it does not affect the learning ability.

드론 방제의 최적화를 위한 딥러닝 기반의 밀도맵 추정 (Density map estimation based on deep-learning for pest control drone optimization)

  • 성백겸;한웅철;유승화;이춘구;강영호;우현호;이헌석;이대현
    • 드라이브 ㆍ 컨트롤
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    • 제21권2호
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    • pp.53-64
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    • 2024
  • Global population growth has resulted in an increased demand for food production. Simultaneously, aging rural communities have led to a decrease in the workforce, thereby increasing the demand for automation in agriculture. Drones are particularly useful for unmanned pest control fields. However, the current method of uniform spraying leads to environmental damage due to overuse of pesticides and drift by wind. To address this issue, it is necessary to enhance spraying performance through precise performance evaluation. Therefore, as a foundational study aimed at optimizing drone-based pest control technologies, this research evaluated water-sensitive paper (WSP) via density map estimation using convolutional neural networks (CNN) with a encoder-decoder structure. To achieve more accurate estimation, this study implemented multi-task learning, incorporating an additional classifier for image segmentation alongside the density map estimation classifier. The proposed model in this study resulted in a R-squared (R2) of 0.976 for coverage area in the evaluation data set, demonstrating satisfactory performance in evaluating WSP at various density levels. Further research is needed to improve the accuracy of spray result estimations and develop a real-time assessment technology in the field.