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      • Simultaneous Navigation and Mapping Combining Wide Angle and Telephoto Images

        ( Ricardo Ospina ),( Noboru Noguchi ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

        Machine vision systems onboard robots have become increasingly important in precision agriculture in order to fully automate some in-field agricultural tasks; like automatic navigation of an agricultural vehicle. In addition, machine vision systems in precision agriculture are also used to gather data from the field in an automated manner at minimal cost; like crop mapping. Several researches have achieved good results performing either crop navigation or crop mapping separately. However, current machine vision systems methods have limitations trying to perform both navigation and mapping processes at the same time. The objective of this research is to develop a machine vision method capable of mapping several crop rows while performing simultaneous navigation with high accuracy. The method is intended for use in automatic guidance systems of agricultural machinery. To achieve this goal, this research implemented a new camera developed by Fujifilm Corporation. This camera can shoot High Definition Wide Angle and Telephoto Images simultaneously. The camera was mounted in the top of a test vehicle, focused on the field surface from an inclined angle in order to obtain Wide Angle Images that cover up to eleven crop rows. At the same time, the camera provides accurate detection of the central crop row using Telephoto Images. The test vehicle used is a Kubota MD-77 conventional tractor, equipped with an RTK-GPS and a Fiber Optic Gyroscope (FOG). An on-board computer process the data from the camera, RTK-GPS and FOG. For accurate crop row detection this research used an image analysis method without segmentation instead of the Hough transformation method in order to reduce the computational burden of the image processing software. Results show that the machine vision method introduced in this research displays increased accuracy and noise reduction for crop row detection used in automatic navigation. In addition, the resulting map covers up to eleven crop rows, compared to other mapping methods that cover up to five crop rows. These results imply that the method is ideal for practical applications like spraying, avoiding to travel additional paths along the field in order to build a crop map; while providing crop row detection with increased accuracy.

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        Grafting Collagen on Poly (Lactic Acid) by a Simple Route to Produce Electrospun Scaffolds, and Their Cell Adhesion Evaluation

        Alida Ospina-Orejarena,Ricardo Vera-Graziano,Maria Monica Castillo-Ortega,Juan Paulo Hinestroza,Mabel Rodriguez-Gonzalez,Laura Palomares-Aguilera,Marissa Morales-Moctezuma,Alfredo Maciel-Cerda 한국조직공학과 재생의학회 2016 조직공학과 재생의학 Vol.13 No.4

        Increasing bioactivity and mechanical properties of polymers to produce more suitable scaffold for tissue engineering is a recurrent goal in the development of new biomedical materials. In this study, collagen-functionalized poly (lactic acid), PLA, was obtained by means of a simple grafting route, and electrospun scaffolds were produced to grow cells in vitro; their bioactivity was compared with scaffolds made of physical blends of PLA and collagen. Grafting was verified via nuclear magnetic resonance, attenuated total reflection-Fourier transform infrared and X-ray photoelectron spectroscopy. The cell adhesion performance of the scaffolds was studied using macrophages. Elastic modulus (74.7 megapascals) and tensile strength (3.0 megapascals) of the scaffold made from PLA grafted with collagen were substantially higher than the scaffolds made from physical blends of collagen and PLA: 32 and 2.16 megapascals, respectively, implying a more resistant material because of the chemical bond of the polypeptide to PLA. Besides, the fibers had more uniform diameter without defects. Scaffolds made from PLA grafted with collagen presented four-fold increase in cell adhesion than those of PLA blended with collagen. Furthermore, cell spreading within the scaffolds occurred only when collagen-functionalized poly (lactic acid) was used. These results open a new option for the easy tailoring of nanofiber-based scaffolds in three dimensions for tissue engineering.

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        Genotype–environment interaction for milk production of Gyr cattle in Brazil and Colombia

        Alejandra Maria Toro‑Ospina,Ricardo Antonio Faria,Dominguez-Castaño Pablo,Santana Mario Luiz,Gonzalez Luis Gabriel,Espasandin Ana Carolina,Silva Josineudson Augusto II Vasconcelos 한국유전학회 2023 Genes & Genomics Vol.45 No.2

        Background Genotype by environment interactions (G × E) can play an important role in cattle populations and should be included in breeding programs in order to select the best animals for different environments. Objective The aim of this study was to investigate the G × E for milk production of Gyr cattle in Brazil and Colombia by applying a reaction norm model used genomics information, and to identify genomic regions associated with milk production in the two countries. Methods The Brazilian and Colombian database included 464 animals (273 cows and 33 sires from Brazil and 158 cows from Colombia) and 27,505 SNPs. A two-trait animal model was used for milk yield adjusted to 305 days in Brazil and Colombia as a function of country of origin, which included genomic information obtained with a single-step genomic reaction norm model. The GIBBS3F90 and POSTGSf90 programs were used. Results The results obtained indicate G × E based on the reranking of bulls between Brazil and Colombia, demonstrating environmental differences between the two countries. The findings highlight the importance of considering the environment when choosing breeding animals in order to ensure the adequate performance of their progeny. Within this context, the reranking of bulls and the different SNPs associated with milk production in the two countries suggest that G × E is an important effect that should be included in the genetic evaluation of Dairy Gyr cattle in Brazil and Colombia. Conclusion The Gyr breeding program can be optimized by choosing a selection environment that will allow maximum genetic progress in milk production in different environments within and between countries.

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