• Title/Summary/Keyword: Crops Information

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Detection Method for Bean Cotyledon Locations under Vinyl Mulch Using Multiple Infrared Sensors

  • Lee, Kyou-Seung;Cho, Yong-jin;Lee, Dong-Hoon
    • Journal of Biosystems Engineering
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    • v.41 no.3
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    • pp.263-272
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    • 2016
  • Purpose: Pulse crop damage due to wild birds is a serious problem, to the extent that the rate of damage during the period of time between seeding and the stage of cotyledon reaches 45.4% on average. This study investigated a method of fundamentally blocking birds from eating crops by conducting vinyl mulching after seeding and identifying the growing locations for beans to perform punching. Methods: Infrared (IR) sensors that could measure the temperature without contact were used to recognize the locations of soybean cotyledons below vinyl mulch. To expand the measurable range, 10 IR sensors were arranged in a linear array. A sliding mechanical device was used to reconstruct the two-dimensional spatial variance information of targets. Spatial interpolation was applied to the two-dimensional temperature distribution information measured in real time to improve the resolution of the bean coleoptile locations. The temperature distributions above the vinyl mulch for five species of soybeans over a period of six days from the appearance of the cotyledon stage were analyzed. Results: During the experimental period, cases where bean cotyledons did and did not come into contact with the bottom of the vinyl mulch were both observed, and depended on the degree of growth of the bean cotyledons. Although the locations of bean cotyledons could be estimated through temperature distribution analyses in cases where they came into contact with the bottom of the vinyl mulch, this estimation showed somewhat large errors according to the time that had passed after the cotyledon stage. The detection results were similar for similar types of crops. Thus, this method could be applied to crops with similar growth patterns. According to the results of 360 experiments that were conducted (five species of bean ${\times}$ six days ${\times}$ four speed levels ${\times}$ three repetitions), the location detection performance had an accuracy of 36.9%, and the range of location errors was 0-4.9 cm (RMSE = 3.1 cm). During a period of 3-5 days after the cotyledon stage, the location detection performance had an accuracy of 59% (RMSE = 3.9 cm). Conclusions: In the present study, to fundamentally solve the problem of damage to beans from birds in the early stage after seeding, a working method was proposed in which punching is carried out after seeding, thereby breaking away from the existing method in which seeding is carried out after punching. Methods for the accurate detection of soybean growing locations were studied to allow punching to promote the continuous growth of soybeans that had reached the cotyledon stage. Through experiments using multiple IR sensors and a sliding mechanical device, it was found that the locations of the crop could be partially identified 3-5 days after reaching the cotyledon stage regardless of the kind of pulse crop. It can be concluded that additional studies of robust detection methods considering environmental factors and factors for crop growth are necessary.

Targeted genome engineering via zinc finger nucleases

  • Kim, Seok-Joong;Kim, Jin-Soo
    • Plant Biotechnology Reports
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    • v.5 no.1
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    • pp.9-17
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    • 2011
  • With the development of next-generation sequencing technology, ever-expanding databases of genetic information from various organisms are available to researchers. However, our ability to study the biological meaning of genetic information and to apply our genetic knowledge to produce genetically modified crops and animals is limited, largely due to the lack of molecular tools to manipulate genomes. Recently, targeted cleavage of the genome using engineered DNA scissors called zinc finger nucleases (ZFNs) has successfully supported the precise manipulation of genetic information in various cells, animals, and plants. In this review, we will discuss the development and applications of ZFN technology for genome engineering and highlight recent reports on its use in plants.

A Design and Implementation of Genuine Quotation System of Black Pigs Using UHF RFID (UHF RFID를 활용한 흑돼지 진품인증시스템 설계 및 구현)

  • Ko, Seok-Yong;Kim, Hyu-Chan;Kim, Hyung-Soo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.4 no.2
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    • pp.93-100
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    • 2008
  • After free trade, it is increasing to import crops, aquatic products, and livestock which are produce in a foreign land. But it is affect negatively to trust relationships and markets of Jeju's foods because of breaking it out that foreign productions exchange domestic. Therefore, this paper designed and implemented the Genuine Quotation system of Black pigs using UHF RFID. This system is developed for distinguishing spuriousness, then searching information of the product through EPC ONS in EPCIS to print within a screen. Moreover, this intuitional and efficient system is constructed by connecting various sensors and lights. It can be contributed income increase thorough the security for the quality authority of the agricultural & stockbreeding products with FCS, FCG Certificate and the genuine certificate of the black pig which is the one of most typical agricultural & stockbreeding products in the pure Green Province, Jeju.

Farm disease detection procedure by image processing on Smart Farming

  • Cho, Sokpal;Chung, Heechang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.405-407
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    • 2017
  • The environmental change is affecting the farm products like tomato, and pepper, etc. This affects to lead smart farming yield. What is more, this inconstant conditions cause the farms to be infected by variety diseases. Therefore ICT technology is needed to detect and prevent the crops from being effected by diseases. This article suggests the procedure to help producer for identifying farms disease based on the detected image. This detects the kind of diseases with comparing the trained image data before and after disease emergence. First step monitors an image of farms and resize it. Its features are extracted on parameters such as color, and morphology, etc. The next steps are used for classification to classify the image as infected or non-infected. on the bassis of detection algorithm.

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Gaining Insight into IT Investment in the Agriculture Industry: Comparison of IT Portfolios by Type of Crops

  • Jiyeol Kim;Cheul Rhee;Junghoon Moon
    • Asia pacific journal of information systems
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    • v.27 no.4
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    • pp.233-244
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    • 2017
  • IT portfolio, meaning the ratio of investment with four different purposes of IT, is widely used for evaluating the adequacy of investment and its performance within firms. Despite of such a useful framework looking at investment on IT, IT portfolio in agriculture industry seems to be differentiated from other industries. In this study, we compared IT portfolios of farms: grain, field fruit and vegetable, greenhouse fruit, greenhouse vegetable, beef cattle and pig. We classified farms by their return on equity (ROE) in order to analyze the relationship between IT portfolio of each crop and performance. Then, we found patterns of IT portfolios of top-performance farms compared to all farms for each agricultural product. Lastly, peculiarities of each crop are interpreted and discussed to find out top-performance farms' IT investment patterns. From our study, it could be inferred that monotonous IT investments may not be as effective.

Economic Analysis of Upland Crop Irrigation Between Individual and Collective Well Water Supply (밭 공간분포와 개별·집단관정 이용을 고려한 밭용수 공급 경제성 분석)

  • JANG, Seongju;PARK, Jinseok;SHIN, Hyung-Jin;KIM, Hyungjoon;HONG, Rokgi;SONG, Inhong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.23 no.3
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    • pp.192-207
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    • 2020
  • Profitability of upland crops is better than paddy crops and proportion of upland is increasing. However, there is a lack of infrastructures for upland irrigation. The object of this study were to develop water supply scenarios using individual and collective agricultural wells to evaluate economic feasibility to consider geographical analysis of upland farms and water supply facilities. Cheongyang, Dangjin, Yesan, and Goesan were selected as study areas where four different crops of red pepper, chinese cabbage, apple, and bean, respectively, were mainly produced in Chungcheong province. As a result, B/C ratio was estimated as 1.49, 1.36, 1.90, and 0.71 in using individual wells scenario, and 1.45, 1.20, 1.91, and 0.65 in using collective wells scenario for red pepper, chinese cabbage, apple, and bean. It turned out that change of price effected on economic feasibility a lot for crops with low production income. As a result of evaluating economic feasibility by number of plots for developing collective well, there was no effect of economy of scale for red pepper and chinese cabbage. In case of collectivizating more than 20 upland plots, effect of economy of scale appeared for apple and bean. In conclusion, development of water using high value crops including red pepper and apple, and effect of collective well requires additory analysis of .spatial distribution of farms.

The Influence of Ginseng Cultivating Farms' Characteristics on the Attitude and Intention to adopt GAP

  • Lee, Dongmin;Yu, Seong Gu;Park, Wooseok;Rhee, Cheul
    • Agribusiness and Information Management
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    • v.5 no.2
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    • pp.7-15
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    • 2013
  • As the consumers' anxiety for food increases, the interest in food safety also increases. To satisfy the public requirement on food safety, the government is trying to set up a food safety standard by using regulations and certification systems. However, there is still difficulty in building up complex traceability systems for medicinal crops including ginseng due to the low participation of farming industries. The purpose of this empirical research is to draw factors that impede the GAP adoption of ginseng farms. By comparing the average attitude and intention to adopt the ginseng farms' depending on its characteristics through a two-tailed test, it was drawn that continuous farming education can positively influence the GAP adoption of the ginseng farms.

Sensor Data Technology for Smart Agriculture (스마트 농업을 위한 센서 데이터 기술)

  • Kim, Young-Dong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.861-864
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    • 2014
  • Recently, the growth control of crops is developed as one of essential factors for smart agriculture based on ubiquitous sensor network. It is reason of easiability for control of product quantity and management of product quality. In this paper, scenario of smart agriculture is investigated for domestic and foreign countries and currently used sensor data technologies is compared to support a series of technological systemization works for sensor data field of smart agriculture. The results of this paper can be used as basic data for smart agriculture standardizations which is currently under progress at domestic and abroad.

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Veranda-type Smart Farm Development and Expected Effects using Arduino (Arduino를 이용한 베란다형 스마트팜 개발 및 기대효과)

  • Chae, Seong Yeon;Jung, Cheol Hoon;Park, Jae Hyun;Shin, Ye Jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.428-430
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    • 2021
  • Due to weather changes, agriculture is suffering a lot of weather events. In response, the impact of this result on modern society by designing veranda-type smart farms and growing crops directly.

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Health Nutritionist Robot for Visually Impaired Individuals : Harvesting Vegetable Crops (시각장애인을 위한 과채류 수확 및 배달 로봇)

  • Ji-Whan Hong;Sang-Ho Lee;Hyun-Jin Park;In-Soo Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.978-979
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    • 2023
  • 시각 장애인들은 식품의 영양 정보 표시 부재로 인해 식품 섭취에 어려움을 겪고 있는 상황이며, 전국 등록 장애인 수는 고령화와 함께 지속적으로 증가하는 추세이다. 이에 따른 돌봄 인력 부족 및 돌봄 예산 증가가 예상되고 있다. 이러한 배경을 고려하여, 본 논문에서는 시각 장애인들에게 영양을 고려한 식자재를 제공하기 위한 과채류 수확 로봇을 개발하고 제공함으로써, 과채류 섭취 부족 문제와 돌봄 인력 부족 문제를 해결하는 것을 목표로 한다. 특히, 본 제품은 사용자의 편의성을 고려하여 음성 인식 기능을 도입하고, 사용자의 요구사항에 따른 권장 섭취량을 기반으로 수확 및 자율주행 배달 서비스를 제공한다.