Project: Application, Performance and Limitation Review of Data Mining Techniques in Digital Agriculture
Based on the previous study about the agriculture industry in ITC541 Data mining and visualisation for business intelligence as well as the search keywords for this particular domain, a list of high-quality related papers was downloaded from reliable resources such as IEEE Xplore, SpringerLink, ScienceDirect, etc. for further investigation. As those papers (and probably more) will be used to support this project, a rough project plan and project proposal will be developed including reading time, analysis and final report.
The list of current papers:
| Author | Year | Title | Link |
| E. A. Abioye, O. Hensel, T. J. Esau, O. Elijah, M. S. Z. Abidin, A. S. Ayobami, et al. | 2022 | Precision Irrigation Management Using Machine Learning and Digital Farming Solutions | Full Text |
| H. Ait Issad, R. Aoudjit and J. J. P. C. Rodrigues | 2019 | A comprehensive review of Data Mining Techniques in smart agriculture | Full Text |
| C. Bauckhage and K. Kersting | 2013 | Data Mining and Pattern Recognition in Agriculture | Full Text |
| B. Carlos Cambra, S. Sendra, J. Lloret and J. Tomas | 2019 | A Smart Decision System for Digital Farming | Full Text |
| S. Condran, M. Bewong, M. Z. Islam, L. Maphosa and L. Zheng | 2022 | Machine Learning in Precision Agriculture: A Survey on Trends, Applications and Evaluations Over Two Decades | Full Text |
| S. Gao | 2021 | The Application of Agricultural Resource Management Information System Based on Internet of Things and Data Mining | Full Text |
| K. Jha, A. Doshi, P. Patel and M. Shah | 2019 | A comprehensive review on automation in agriculture using artificial intelligence | Full Text |
| W. Liu | 2021 | Smart sensors, sensing mechanisms and platforms of sustainable smart agriculture realized through the big data analysis | Full Text |
| G. Morota, R. V. Ventura, F. F. Silva, M. Koyama and S. C. Fernando | 2018 | BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agriculture1 | Full Text |
| J. Muangprathub, N. Boonnam, S. Kajornkasirat, N. Lekbangpong, A. Wanichsombat and P. Nillaor | 2019 | IoT and agriculture data analysis for smart farm | Full Text |
| A. Muniasamy | 2022 | Applications of Data Mining Techniques in Smart Farming for Sustainable Agriculture | Full Text |
| N. Nyoman Kutha Krisnawijaya, B. Tekinerdogan, C. Catal and R. v. d. Tol | 2022 | Data analytics platforms for agricultural systems: A systematic literature review | Full Text |
| K. A. Patil and N. R. Kale | 2016 | A model for smart agriculture using IoT | Full Text |
| S. Rajeswari, K. Suthendran and K. Rajakumar | 2017 | A smart agricultural model by integrating IoT, mobile and cloud-based big data analytics | Full Text |
| M. Randall, A. Lewis, B. Stewart-Koster, N. D. Anh, M. Burford, J. Condon, et al. | 2022 | A Bayesian belief data mining approach applied to rice and shrimp aquaculture | Full Text |
| Z. Rao and J. Yuan | 2021 | Data mining and statistics issues of precision and intelligent agriculture based on big data analysis | Full Text |
| B. B. Sinha and R. Dhanalakshmi | 2022 | Recent advancements and challenges of Internet of Things in smart agriculture: A survey | Full Text |
| M. Srinivasan and S. Koteeswaran | 2016 | Knowledge Society in Agriculture and Digital Networks for Farmers by using Spatial Data Mining | Full Text |
| O. Visser, S. R. Sippel and L. Thiemann | 2021 | Imprecision farming? Examining the (in)accuracy and risks of digital agriculture | Full Text |
| H. Wang | 2021 | Empowerment of Digital Technology to Improve the Level of Agricultural Economic Development based on Data Mining | Full Text |
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