يعرض 1 - 20 نتائج من 77 نتيجة بحث عن '"Quiñonez,Yadira"', وقت الاستعلام: 0.56s تنقيح النتائج
  1. 1
    Academic Journal

    وصف الملف: 16 páginas; application/pdf

    Relation: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao; Abd El-Kader, S. M. (2020). Laying the foundations for an IoT reference architecture for agricultural application domain. IEEE Access, 8, 190194-190230. https://doi.org/10.1109/ACCESS.2020.3031634 [ Links ]; Aguilar, J., García, R., Toro, M., Pinto, A., & Rodríguez, P. (2020). A systematic literature review on the use of machine learning in precision livestock farming. Computers and Electronics in Agriculture, 179. https://doi.org/10.1016/j.compag.2020.105826 [ Links ]; Alfred, R., Obit, J. H., Chin, C. P. Y., Haviluddin, H., & Lim, Y. (2021). Towards paddy rice smart farming: A review on big data, machine learning, and rice production tasks. IEEE Access, 9. https://doi.org/10.1109/ACCESS.2021.3069449 [ Links ]; Ali, J. (2012). Factors affecting the adoption of information and communication technologies (ICTs) for farming decisions. Journal of Agricultural and Food Information, 13(1), 78-96. https://doi.org/10.1080/10496505.2012.636980 [ Links ]; Amanullah, M. A., Habeeb, R. A. A., Nasaruddin, F. H., Gani, A., Ahmed, E., Nainar, A. S. M., Akim, N. M., & Imran, M. (2020). Deep learning and big data technologies for IoT security. Computer Communications, 151. https://doi.org/10.1016/j.comcom.2020.01.016 [ Links ]; Arsovski, Z., Lula, P., & Đorđević, A. (2016). Impact of ICT on quality of life. [ Links ]; Bankole, F. O., Shirazi, F., & Brown, I. (2011). Investigating the impact of ICT investments on human development. In EJISDC (Vol. 48). http://www.ejisdc.org [ Links ]; Bhatia, G., Joshi, N., Iyengar, S., Rajpal, S., & Mahadevan, K. (2021). Crop Prediction Based on Environmental Conditions and Disease Prediction. Smart Innovation, Systems and Technologies, 195. https://doi.org/10.1007/978-981-15-7078-0_31 [ Links ]; Biradar, H. B., & Shabadi, L. (2017). Review on IOT based multidisciplinary models for smart farming. RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings, 2018-Janua, 1923-1926. https://doi.org/10.1109/RTEICT.2017.8256932 [ Links ]; Bouachir, W., Ihou, K. E., Gueziri, H. E., Bouguila, N., & Belanger, N. (2019). Computer Vision System for Automatic Counting of Planting Microsites Using UAV Imagery. IEEE Access, 7. https://doi.org/10.1109/ACCESS.2019.2923765 [ Links ]; Bula, A. (2020). Importancia de la Agricultura en el Desarrollo. [ Links ]; Cecinati, F., Moreno-Ródenas, A. M., Rico-Ramirez, M. A., ten Veldhuis, M. C., & Langeveld, J. G. (2018). Considering rain gauge uncertainty using kriging for uncertain data. Atmosphere, 9(11). https://doi.org/10.3390/atmos9110446 [ Links ]; de la Casa, A., Ovando, G., Bressanini, L., Martínez, J., Díaz, G., & Miranda, C. (2018). Soybean crop coverage estimation from NDVI images with different spatial resolution to evaluate yield variability in a plot. ISPRS Journal of Photogrammetry and Remote Sensing, 146. https://doi.org/10.1016/j.isprsjprs.2018.10.018 [ Links ]; Dobrescu, R., Merezeanu, D., & Mocanu, S. (2019). Context-aware control and monitoring system with IoT and cloud support. Computers and Electronics in Agriculture, 160. https://doi.org/10.1016/j.compag.2019.03.005 [ Links ]; Gašparović, S. (2019). Impact of ICT on some segments of everyday life of highschool population of the city of Zagreb. IJRAR- International Journal of Research and Analytical Reviews, 6(2), 62-65. [ Links ]; Ge, X. Y., Ding, J. L., Wang, J. Z., Sun, H. L., & Zhu, Z. Q. (2020). A New Method for Predicting Soil Moisture Based on UAV Hyperspectral Image. Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis, 40(2). https://doi.org/10.3964/j.issn.1000-0593(2020)02-0602-08 [ Links ]; Gopinath, R. (2023). Perception of ICT in farming practices with special reference to e-commerce in agriculture. IJRAR-International Journal of Research and Analytical Reviews, 6. http://ijrar.com/ [ Links ]; Hernandez, R. M. (2017). Impact of ICT on education: Challenges and perspectives. Propósitos y Representaciones, 5(1), 325-347. https://doi.org/10.20511/pyr2017.v5n1.149 [ Links ]; Khan, M. A., & Salah, K. (2018). IoT security: Review, blockchain solutions, and open challenges. Future Generation Computer Systems, 82. https://doi.org/10.1016/j.future.2017.11.022 [ Links ]; Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS - Wageningen Journal of Life Sciences, 90-91(October), 100315. https://doi.org/10.1016/j.njas.2019.100315 [ Links ]; Kocian, A., & Incrocci, L. (2020). Learning from Data to Optimize Control in Precision Farming. Stats, 3(3). https://doi.org/10.3390/stats3030018 [ Links ]; Marwa, M. E., Mburu, J., Oburu, R. E. J., Mwai, O., & Kahumbu, S. (2020). Impact of ICT based extension services on dairy production and household welfare: The case of iCow service in Kenya. Journal of Agricultural Science, 12(3), 141. https://doi.org/10.5539/jas.v12n3p141 [ Links ]; Miller, G. A., Hyslop, J. J., Barclay, D., Edwards, A., Thomson, W., & Duthie, C. A. (2019). Using 3D Imaging and Machine Learning to Predict Liveweight and Carcass Characteristics of Live Finishing Beef Cattle. Frontiers in Sustainable Food Systems, 3. https://doi.org/10.3389/fsufs.2019.00030 [ Links ]; Minagricultura. (2018). Un Campo para la Equidad: Política Agropecuaria y de Desarrollo Rural. [ Links ]; Mohammad El-Basioni, B. M., & Abd El-Kader, S. M. (2020). Laying the foundations for an IoT reference architecture for agricultural application domain. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.3031634 [ Links ]; Mohamad Noor, M. B., & Hassan, W. H. (2019). Current research on Internet of Things (IoT) security: A survey. Computer Networks, 148. https://doi.org/10.1016/j.comnet.2018.11.025 [ Links ]; Newase, A. D., Sheetlani, J., Sai, S., & Patil, R. D. (2017). A literature review on impact of information and communication technology tools on rural society of India. Indian Journal of Computer Science and Engineering, 8(3), 235-240. [ Links ]; Oussous, A., Benjelloun, F. Z., Ait Lahcen, A., & Belfkih, S. (2018). Big Data technologies: A survey. In Journal of King Saud University - Computer and Information Sciences, 30, (4). https://doi.org/10.1016/j.jksuci.2017.06.001 [ Links ]; Panesar, G. S., Venkatesh, D., Rakhra, M., Jairath, K., & Shabaz, M. (2021). Agile software and business development using artificial intelligence. Annals of the Romanian Society for Cell Biology, 25(2). [ Links ]; Parra-Peña, R., Puyana, R., & Yepes-Chica, F. (2021). Análisis de la productividad del sector agropecuario en Colombia y su impacto en temas como: encadenamientos productivos, sostenibilidad e internacionalización, en el marco del programa Colombia más competitiva. [ Links ]; Punchihewa, D. J., & Wimalaratne, P. (2010). Towards an ICT enabled farming community. E-Governance in Practice, India (pp. 201-207). https://www.icta.lk [ Links ]; Sidhu, S., Mohd, B. J., & Hayajneh, T. (2019). Hardware security in IoT devices with emphasis on hardware trojans. Journal of Sensor and Actuator Networks, 8(3). https://doi.org/10.3390/jsan8030042 [ Links ]; Thangaraju, G., Agnes, X., & Rani, K. (2016). A study to improve the organic farming and the impact of ICT in organic agriculture with special reference to Perambalur district in Tamilnadu (Data analysis with K-means clustering algorithm in datamining). International Journal of Emerging Technology in Computer Science & Electronics, 20. [ Links ]; UNGRD. (2021). Sistema de Alerta Temprana. Retrieved from http://portal.gestiondelriesgo.gov.co/Paginas/SAT.aspx [ Links ]; Unal, Z. (2020). Smart farming becomes even smarter with deep learning - A bibliographical analysis. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.3000175 [ Links ]; Vergara-Díaz, O., Kefauver, S., Araus, J. L., & Aranjuelo, I. (2020). Development of novel technological approaches for a reliable crop characterization under changing environmental conditions. NIR News, 31(7-8). https://doi.org/10.1177/096033602097874 [ Links ]; Wei, H. E., Grafton, M., Bretherton, M., Irwin, M., & Sandoval, E. (2021). Evaluation of point hyperspectral reflectance and multivariate regression models for grapevine water status estimation. Remote Sensing, 13(16). https://doi.org/10.3390/rs13163198 [ Links ]; 121; 106; 53; https://hdl.handle.net/11323/13920; Corporación Universidad de la Costa; https://repositorio.cuc.edu.co/

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  3. 3
    Academic Journal
  4. 4
    Academic Journal

    Alternate Title: Internet of Things (IoT) applied to agriculture: current state and its application through a prototype. (English)

    المصدر: RISTI: Iberian Journal on Information Systems & Technologies / Revista Ibérica de Sistemas e Tecnologias de Informação; 3/15/2024, Issue 53, p106-121, 16p

  5. 5
    Academic Journal

    Alternate Title: Models of identification cardiovascular diseases implementing machine learning techniques: a systematic literature review. (English)

    المصدر: RISTI: Iberian Journal on Information Systems & Technologies / Revista Ibérica de Sistemas e Tecnologias de Informação; 3/15/2024, Issue 53, p87-105, 19p

  6. 6
    Conference
  7. 7
  8. 8
    Book

    المصدر: Lecture Notes in Networks and Systems ; New Perspectives in Software Engineering ; page 113-125 ; ISSN 2367-3370 2367-3389 ; ISBN 9783031203213 9783031203220

  9. 9
    Book

    المصدر: Lecture Notes in Networks and Systems ; New Perspectives in Software Engineering ; page 233-242 ; ISSN 2367-3370 2367-3389 ; ISBN 9783031203213 9783031203220

  10. 10
    Book
  11. 11
    Book
  12. 12
    Book

    المصدر: Advances in Intelligent Systems and Computing ; New Perspectives in Software Engineering ; page 29-40 ; ISSN 2194-5357 2194-5365 ; ISBN 9783030899080 9783030899097

  13. 13
    Book
  14. 14
    Book

    المصدر: Advances in Intelligent Systems and Computing ; New Perspectives in Software Engineering ; page 189-204 ; ISSN 2194-5357 2194-5365 ; ISBN 9783030899080 9783030899097

  15. 15
    Academic Journal

    Alternate Title: Mobile application for monitoring dry matter intake in ruminants using Bluetooth technology. (English)

    المصدر: RISTI: Iberian Journal on Information Systems & Technologies / Revista Ibérica de Sistemas e Tecnologias de Informação; mar2023, Issue 49, p66-82, 17p

  16. 16
    Academic Journal
  17. 17
    Book

    المصدر: Advances in Intelligent Systems and Computing ; New Perspectives in Software Engineering ; page 213-231 ; ISSN 2194-5357 2194-5365 ; ISBN 9783030633288 9783030633295

  18. 18
    Book

    المصدر: Advances in Intelligent Systems and Computing ; New Perspectives in Software Engineering ; page 71-85 ; ISSN 2194-5357 2194-5365 ; ISBN 9783030633288 9783030633295

  19. 19
    Book

    المصدر: Trends and Innovations in Information Systems and Technologies ; Advances in Intelligent Systems and Computing ; page 137-146 ; ISSN 2194-5357 2194-5365 ; ISBN 9783030456900 9783030456917

  20. 20
    Book

    المصدر: Trends and Innovations in Information Systems and Technologies ; Advances in Intelligent Systems and Computing ; page 120-133 ; ISSN 2194-5357 2194-5365 ; ISBN 9783030456962 9783030456979