EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 563 (2024) E3S Web Conf., 563 (2024) 03010 References
Open Access
Issue
E3S Web Conf.
Volume 563, 2024
International Conference on Environmental Science, Technology and Engineering (ICESTE 2024)
Article Number 03010
Number of page(s) 9
Section Green Environment
DOI https://doi.org/10.1051/e3sconf/202456303010
Published online 30 August 2024
  1. FAO, World agriculture: towards 2015/2030: a scenario analysis, FAO Rome 52 (2017) [Google Scholar]
  2. Sadiku, M., Ashaolu, T.J., Musa, S.M., Big Data in Agriculture, International Journal Of Scientific Advances 1 (2020) [Google Scholar]
  3. Almeida, F., Big data Concept potentialities and vulnerabilities, Emerging Science Journal 2(1), 1–10 (2018) [CrossRef] [Google Scholar]
  4. Diebold, F.X., Big Data Dynamic Factor Models for Macroeconomic Measurement and Forecasting, A. Discussion of the Papers by Reichlin and Watson, Advances in Economics and Econometrics Theory and Applications Eighth World Congress of the Econometric Society Cambridge University Press 115–122 (2003) [Google Scholar]
  5. Wolfert, S., Ge, L., Verdouw, C., Bogaardt, M.J., Big Data in Smart Farming-A review, Agricultural Systems 1 023. 2017 [Google Scholar]
  6. Memon, M.A., Soomro, S., Jumani, A.K., Kartio, M.A. 2017 Big data analytics and its applications Annals of Emerging Technologies in Computing 1(1) 45–54. [Google Scholar]
  7. Coble, K.H., Mishra, A.K., Ferrell, S., Griffin, T., Big data in agriculture A challenge for the future, Applied Economic Perspectives and Policy 40(1), 79–96 (2018) [CrossRef] [Google Scholar]
  8. Evstatiev, B.I., Gabrovska-Evstatieva, K.G., A review on the methods for big data analysis in agriculture, IOP Conference Series Materials Science and Engineering 1032, 012053 (2021) [CrossRef] [Google Scholar]
  9. Gopal, M.P.S., Chintala, B.R., Big data challenges and opportunities in agriculture, International Journal of Agricultural and Environmental Information Systems 11(1), 48–66 (2020) [Google Scholar]
  10. Ryan, M., Agricultural Big Data Analytics and the Ethics of Power, Journal of Agricultural and Environmental Ethics 33(1), 49–69 (2020) [CrossRef] [Google Scholar]
  11. Etal, A.S., Using Open Remote Sensing Data to build an Agriculture Big Data System, Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12(2), 429–436 (2021) [CrossRef] [Google Scholar]
  12. Huang, Y., Chen, Z., Xin, Y.U.T., Huang, X., Zhi, G.U.X., Agricultural remote sensing big data Management and applications, Journal of Integrative Agriculture Chinese Academy of Agricultural Sciences 19(17), 618598 (2018) [Google Scholar]
  13. Sagan, V., Maimaitijiang, M., Paheding, S., Bhadra, S., Gosselin, N., Burnette, M., Mockler, T.C., Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data, IEEE Transactions on Geoscience and Remote Sensing 60, 91409 (2022) [CrossRef] [Google Scholar]
  14. Baseca, C.C., Sendra, S., Lloret, J., Tomas, J., A smart decision system for digital farming, Agronomy 9(5), 9050216 (2019) [Google Scholar]
  15. Kim, K.H., Lee, J., Smart plant disease management using agrometeorological big data, Research in Plant Disease 26(3), 121–133 (2020) [CrossRef] [Google Scholar]
  16. Kodati, S., Jeeva, S., Smart agricultural using internet of things cloud and big data, International Journal of Innovative Technology and Exploring Engineering 8(10), 3718–3722 (2019) [CrossRef] [Google Scholar]
  17. Newton, J.E., Nettle, R., Pryce, J.E., Farming smarter with big data Insights from the case of Australia’s national dairy herd milk recording scheme, Agricultural Systems 181, 2811 (2020) [Google Scholar]
  18. Rabhi, L., Falih, N., Afraites, L., Bouikhalene, B., Digital agriculture based on big data analytics A focus on predictive irrigation for smart farming in Morocco, Indonesian Journal of Electrical Engineering and Computer Science 24(1), 581–589 (2021) [CrossRef] [Google Scholar]
  19. Janssen, S.J.C., Porter, C.H., Moore, A.D., Athanasiadis, I.N., Foster, I., Jones, J.W., Antle, J.M., Towards a new generation of agricultural system data models and knowledge products Information and communication technology, Agricultural Systems 155, 200–212 (2017) [CrossRef] [Google Scholar]
  20. Bhat, S.A., Huang, N.F., Big Data and AI Revolution in Precision Agriculture Survey and Challenges, IEEE Access 9, 110209–110222 (2021) [CrossRef] [Google Scholar]
  21. Kamilaris, A., Kartakoullis, A., Prenafeta-Boldú, F.X., A review on the practice of big data analysis in agriculture, Computers and Electronics in Agriculture 121, 09037 (2017) [Google Scholar]
  22. Semlali, B.E.B., Amrani, C.E., Ortiz, G., Hadoop paradigm for satellite environmental big data processing, International Journal of Agricultural and Environmental Information Systems 11(1), 23–47 (2020) [CrossRef] [Google Scholar]
  23. Ott, L., Longnecker, M., An introduction to statistical methods and data analysis, Australia Duxbury 1251 (2001) [Google Scholar]
  24. Tamachiro, T.S.O., De Oliveira, F.R., Gayer, J.A.C.A., Kleina, M., Marques, M.A.M., Big data technology applications in agriculture a systematic literature review, Exacta 1, 7765 (2021) [Google Scholar]
  25. Akoka, J., Comyn-Wattiau, I., Laoufi, N., Research on Big Data-A systematic mapping study, Computer Standards and Interfaces 54, 105–115 (2017) [CrossRef] [Google Scholar]
  26. Delgado, J.A., Short, N.M., Roberts, D.P., Vandenberg, B., Big Data Analysis for Sustainable Agriculture on a Geospatial Cloud Framework Frontiers in Sustainable Food Systems, Frontiers Media SA 519 (2019) [Google Scholar]
  27. Sudha, V., Mohan, S., Arivalagan, S., Big Data Analytics to Increase the Agricultural Yield by Using Machine Learning Approaches, Asian Journal of Computer Science and Technology 7(S1), 82–86 (2018) [CrossRef] [Google Scholar]
  28. Wang, T., Xu, X., Wang, C., Li, Z., Li, D., From smart farming towards unmanned farms A new mode of agricultural production, Agriculture 11(2), 1–26 (2021) [Google Scholar]
  29. Michael, K., Miller, K., Big Data New Opportunities and New Challenges [Guest editors' introducetion], Computer 46(6), 22–24 (2013) [CrossRef] [Google Scholar]
  30. Giagnocavo, C., Bienvenido, F., Li, M., Zhao, Y.R., Sanchez-Molina, J.A., Yang, X.T., Agricultural cooperatives and the role of organisational models in new intelligent traceability systems and big data analysis, International Journal of Agricultural and Biological Engineering 10(5), 115–125 (2017) [CrossRef] [Google Scholar]
  31. Liu, S., Guo, L., Webb, H., Ya, X., Chang, X., Internet of things monitoring system of modern eco-agriculture based on cloud computing, IEEE Access 7, 37050–37058 (2019) [CrossRef] [Google Scholar]
  32. Borne, K., Top 10 Big Data challenges—A serious look at 10 Big Data V’s MAPR (2014) [Google Scholar]
  33. Duncan, E., Glaros, A., Ross, D.Z., Nost, E., New but for whom? Discourses of innovation in precision agriculture, Agriculture and Human Values 38(4), 1181–1199 (2021) [CrossRef] [PubMed] [Google Scholar]
  34. Evert, F.K., Fountas, S., Jakovetic, D., Crnojevic, V., Travlos, I., Kempenaar, C., Big Data for weed control and crop protection, Weed Research Blackwell Publishing Ltd 255 (2017) [Google Scholar]
  35. Shafer, T., The 42 V’s of big data and data science, Elder Research 17, 447–461 (2017) [Google Scholar]
  36. Fountas, S., Espejo-Garcia, B., Kasimati, A., Mylonas, N., Darra, N., The Future of Digital Agriculture Technologies and Opportunities, IT Professional 22(1) 24–28 (2020) [CrossRef] [Google Scholar]
  37. Sekhar, Ch.C., Kumar, J.U., Kumar, B.K., Sekhar, Ch., Effective use of Big Data Analytics in Crop planning to increase Agriculture Production in India, International Journal of Advanced Science and Technology 113, 31–40 (2018) [CrossRef] [Google Scholar]
  38. Shelestov, A., Lavreniuk, M., Kussul, N., Novikov, A., Skakun, S., Exploring Google earth engine platform for big data processing Classification of multi-temporal satellite imagery for crop mapping, Frontiers in Earth Science 5, 1–10 (2017) [CrossRef] [Google Scholar]
  39. Ang, K.L.M., Seng, J.K.P., Big data and machine learning with hyperspectral information in agriculture, IEEE Access 9, 36699–36718 (2021) [CrossRef] [Google Scholar]
  40. Cravero, A., Sepúlveda, S., Use and adaptations of machine learning in big data—applications in real cases in agriculture, Electronics 1005, 0552 (2021) [CrossRef] [Google Scholar]
  41. Lokhorst, C., De Mol, R.M., Kamphuis, C., Invited review Big Data in precision dairy farming, Animal 13(7), 1519–1528 (2019) [CrossRef] [PubMed] [Google Scholar]
  42. Klauser, F., Surveillance farm Towards a research agenda on big data agriculture, Surveillance and Society 16(3), 370–378 (2018) [CrossRef] [Google Scholar]
  43. Osinga, S.A., Paudel, D., Mouzakitis, S.A., Athanasiadis, I.N., Big data in agriculture Between opportunity and solution, Agricultural Systems 195, 159–475 (2022) [Google Scholar]
  44. Belaud, J.P., Prioux, N., Vialle, C., Sablayrolles, C., Big data for agri-food 40 Application to sustainability management for by-products supply chain, Computers in Industry 111, 41–50 (2019) [CrossRef] [Google Scholar]
  45. Fleming, A., Jakku, E., Lim-Camacho, L., Taylor, B., Thorburn, P., Is big data for big farming or for everyone? Perceptions in the Australian grains industry, Agronomy for Sustainable Development 38(3), 0501 (2018) [CrossRef] [Google Scholar]
  46. Wittman, H., James, D., Mehrabi, Z., Advancing food sovereignty through farmer-driven digital agroecology, International Journal of Agriculture and Natural Resources 47(3), 235–248 (2020) [CrossRef] [Google Scholar]
  47. Cravero, A., Pardo, S., Sepúlveda, S., Muñoz, L., Challenges to Use Machine Learning in Agricultural Big Data, A. Systematic Literature Review, Agronomy 12, 748 (2022) [CrossRef] [Google Scholar]
  48. Naghib, A., Jafari Navimipour, N., Hosseinzadeh, M., A comprehensive and systematic literature review on the big data management techniques in the internet of things, Wireless Netw 29, 1085–1144 (2023) [CrossRef] [Google Scholar]
  49. Shvets, Y., Morkovkin, D., Chupin, A., Ostroumov, V., Shmanev, S., Big data and analytics for crop yield forecasting Empirical research and development prospects, E3S Web Conf 480, 03023 (2024) [CrossRef] [EDP Sciences] [Google Scholar]
  50. Rendra Graha, D.T., Nurinaputri, R.F., Salsabilah, I., Big Data Review of the Influence of Agricultural Sector Development on Economic Resilience, East Java Economic Journal 8(1), 115–130 (2024) [CrossRef] [Google Scholar]
  51. Yu, D., Fang, C., Urban Remote Sensing with Spatial Big Data, A. Review and Renewed Perspective of Urban Studies in Recent Decades, Remote Sens 15, 1307 (2023) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.