awesome-arm-in-smart-agriculture

A collection of literature on the use of association rule mining methods in smart agriculture

https://github.com/firefly-cpp/awesome-arm-in-smart-agriculture

Science Score: 67.0%

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  • DOI references
    Found 69 DOI reference(s) in README
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    Links to: arxiv.org, sciencedirect.com, springer.com, wiley.com, ieee.org, zenodo.org
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    Low similarity (10.4%) to scientific vocabulary

Keywords

agriculture-research association-rules data-mining optimization smart-agriculture

Keywords from Contributors

agriculture smart-farming pyqt6 evolutionary-algorithms
Last synced: 4 months ago · JSON representation ·

Repository

A collection of literature on the use of association rule mining methods in smart agriculture

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  • Host: GitHub
  • Owner: firefly-cpp
  • License: cc-by-sa-4.0
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agriculture-research association-rules data-mining optimization smart-agriculture
Created over 3 years ago · Last pushed almost 2 years ago
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Readme Contributing License Citation

README.md

Awesome Association Rule Mining in Smart Agriculture Awesome

Awesome Computational Intelligence in Sports logo

DOI


We are curating awesome research and approaches to Association Rule Mining in Smart Agriculture!

This repository is designed to serve as a comprehensive resource for researchers exploring the field of Association Rule Mining in Smart Agriculture. The list encompasses a wide range of methodologies centered around the application of association rule mining techniques to agricultural data. It includes references to books, scientific literature, datasets, and software tools specifically tailored to this domain. The research citations have been formatted using Mendeley in the MLA 8th edition style guidelines. Researchers delving into the realm of Association Rule Mining in agriculture will find this repository to be an invaluable asset in their pursuit of knowledge and advancements in this field.


Contents

Review papers ⚖️

Khan, Farah, and Divakar Singh. “Association Rule Mining in the Field of Agriculture : A Survey.” International Journal of Scientific and Research Publications, vol. 4, no. 7, 2014, pp. 1–4, www.ijsrp.org.

Vignesh, N., and D. C. Vinutha. “Association Rule Data Mining in Agriculture – A Review.” Advances in Intelligent Systems and Computing, edited by João Manuel Smys, S R. S. Tavares et al., vol. 1108 AISC, Springer, 2020, pp. 233–39, doi:10.1007/978-3-030-37218-7_27.

Journal papers 📄

Fister Jr, Iztok, et al. “NarmViz: A Novel Method for Visualization of Time Series Numerical Association Rules for Smart Agriculture.” Expert Systems, vol. 41, no. 3, 2024, p. e13503, doi:10.1111/exsy.13503.

Godara, Samarth, and Durga Toshniwal. “Sequential Pattern Mining Combined Multi-Criteria Decision-Making for Farmers’ Queries Characterization.” Computers and Electronics in Agriculture, vol. 173, 2020, p. 105448, doi:10.1016/j.compag.2020.105448.

Kunstelj, Nataša, et al. “Using Association Rules Mining for Sweet Potato (Ipomoea Batatas L.) in Slovenia: A Case Study.” Journal of Food, Agriculture & Environment- JFAE, vol. 11, no. 1, 2013, pp. 253–58, doi:20.500.12556/RUL-36874.

Li, Tianxin, et al. “Mining of the Association Rules between Industrialization Level and Air Quality to Inform High-Quality Development in China.” Journal of Environmental Management, vol. 246, Academic Press, Sept. 2019, pp. 564–74, doi:10.1016/j.jenvman.2019.06.022.

Liang, Buwen, et al. “Multidrug Resistance Analysis Method for Pathogens of Cow Mastitis Based on Weighted-Association Rule Mining and Similarity Comparison.” Computers and Electronics in Agriculture, vol. 190, Nov. 2021, p. 106411, doi:10.1016/J.COMPAG.2021.106411.

Molajou, Amir, et al. “Incorporating Social System into Water-Food-Energy Nexus.” Water Resources Management, vol. 35, no. 13, Springer Science and Business Media B.V., Oct. 2021, pp. 4561–80, doi:10.1007/S11269-021-02967-4/FIGURES/6.

Nyambo, Devotha G., et al. “Characteristics of Smallholder Dairy Farms by Association Rules Mining Based on Apriori Algorithm.” International Journal of Society Systems Science, vol. 11, no. 2, Inderscience Publishers (IEL), 2019, pp. 99–118, doi:10.1504/IJSSS.2019.100101.

Rajesh, D. “Application of Spatial Data Mining for Agriculture.” International Journal of Computer Applications, vol. 15, no. 2, Feb. 2011, pp. 7–9, doi:10.5120/1922-2566.

Rajeswari, V., and K. Arunesh. “Analysing Soil Data Using Data Mining Classification Techniques.” Indian Journal of Science and Technology, vol. 9, no. 19, The Indian Society of Education and Environment, May 2016, pp. 1–4, doi:10.17485/ijst/2016/v9i19/93873.

Thakkar, Rahul G., et al. “Rule Based and Association Rule Mining on Agriculture Dataset.” International Journal of Innovative Research in Computer and Communication Engineering, vol. 2, no. 11, 2014, pp. 6381–84.

Proceedings 📖

Bhavsar, Ankit R., and Harshal A. Arolkar. “Multidimensional Association Rule Based Data Mining Technique for Cattle Health Monitoring Using Wireless Sensor Network.” 2014 International Conference on Computing for Sustainable Global Development (INDIACom), 2014, pp. 810–14, doi:10.1109/IndiaCom.2014.6828074.

Cunningham, Sally Jo, and Geoffrey Holmes. “Developing Innovative Applications in Agriculture Using Data Mining.” The Proceedings of the Southeast Asia Regional Computer Confederation Conference, 1999, pp. 25–29.

Gandhi, Niketa, and Leisa J. Armstrong. “Assessing Impact of Seasonal Rainfall on Rice Crop Yield of Rajasthan, India Using Association Rule Mining.” 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, 2016, pp. 1021–24, doi:10.1109/ICACCI.2016.7732178.

Hira, Swati, and P. S. Deshpande. “Data Analysis Using Multidimensional Modeling, Statistical Analysis and Data Mining on Agriculture Parameters.” Procedia Computer Science, vol. 54, Elsevier, Jan. 2015, pp. 431–39, doi:10.1016/j.procs.2015.06.050.

Hu, Yaoguang, et al. “Research on Knowledge Mining for Agricultural Machinery Maintenance Based on Association Rules.” 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA), IEEE, 2015, pp. 885–90, doi:10.1109/ICIEA.2015.7334235.

Fister Jr, Iztok, and Sancho Salcedo-Sanz. “Time Series Numerical Association Rule Mining for Assisting Smart Agriculture”. 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), IEEE, 2022, pp. 1–6, doi:10.1109/ICECET55527.2022.9873094.

Fister Jr, Iztok, et al. “Time Series Numerical Association Rule Mining Variants in Smart Agriculture”. arXiv, Dec. 2022, doi:10.48550/arxiv.2212.03669. Preprint.

Rozas-Acurio, Javier, et al. “Pattern Mining and Classification Techniques for Agriculture and Crop Simulation.” Advanced Research in Technologies, Information, Innovation and Sustainability, edited by Teresa Guarda et al., Springer Nature Switzerland, 2022, pp. 444–58, doi:10.1007/978-3-031-20319-0_33.

Salankar, Suresh, et al. “Crop Suggestion Using Data Mining Approaches.” 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 1–5, doi:10.1109/ICCCNT51525.2021.9579999.

Tripathy, A. K., et al. “Geospatial Data Mining for Agriculture Pest Management - a Framework.” 17th International Conference on Geoinformatics, IEEE, 2009, pp. 1–6, doi:10.1109/GEOINFORMATICS.2009.5293296.

Wedashwara, W., et al. “Sequential Fuzzy Association Rule Mining Algorithm for Plants Environment Classification Using Internet of Things.” AIP Conference Proceedings, vol. 2199, no. 1, Dec. 2019, p. 030004, doi:10.1063/1.5141287.

Zimpel, Tobias, et al. “Association Rule Mining to Study Process-Related Cause-Effect-Relationships in Pig Farming.” PMAI@ IJCAI, 2022, pp. 25–36.

Datasets 📊

Arion rufus snails dataset

Monitoring plants


Cite us

Fister Jr., I. (2023). firefly-cpp/awesome-arm-in-smart-agriculture: 1.0 (1.0). Zenodo. https://doi.org/10.5281/zenodo.10435768

Owner

  • Name: Iztok Fister Jr.
  • Login: firefly-cpp
  • Kind: user
  • Location: Slovenia

Citation (CITATION.cff)

authors:
- family-names: Fister Jr.
  given-names: Iztok
  orcid: 0000-0002-6418-1272
- family-names: "Raj\u0161p"
  given-names: Alen
  orcid: 0000-0003-3219-018X
cff-version: 1.2.0
date-released: '2023-12-27'
doi: 10.5281/zenodo.10435768
license:
- cc-by-4.0
repository-code: https://github.com/firefly-cpp/awesome-arm-in-smart-agriculture/tree/1.0
title: 'firefly-cpp/awesome-arm-in-smart-agriculture: 1.0'
type: software
version: '1.0'

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