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HandWiki. Data Mining in Agriculture. Encyclopedia. Available online: https://encyclopedia.pub/entry/35160 (accessed on 07 October 2026).
HandWiki. Data Mining in Agriculture. Encyclopedia. Available at: https://encyclopedia.pub/entry/35160. Accessed October 07, 2026.
HandWiki. "Data Mining in Agriculture" Encyclopedia, https://encyclopedia.pub/entry/35160 (accessed October 07, 2026).
HandWiki. (2022, November 18). Data Mining in Agriculture. In Encyclopedia. https://encyclopedia.pub/entry/35160
HandWiki. "Data Mining in Agriculture." Encyclopedia. Web. 18 November, 2022.
Data Mining in Agriculture
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The content is sourced from: https://handwiki.org/wiki/Social:Data_mining_in_agriculture

Data mining in agriculture is a recent research topic, consisting of the application of data mining techniques to agriculture. Recent technologies are able to provide extensive information on agricultural-related activities, which can then be analyzed in order to find relevant information. A related, but not equivalent term is precision agriculture.

agriculture data mining techniques application

References

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  2. Hill, M. G.; Connolly, P. G.; Reutemann, P.; Fletcher, D. (2014-10-01). "The use of data mining to assist crop protection decisions on kiwifruit in New Zealand". Computers and Electronics in Agriculture 108: 250–257. doi:10.1016/j.compag.2014.08.011.  https://dx.doi.org/10.1016%2Fj.compag.2014.08.011
  3. Urtubia, A.; Perez-Correa, J.R.; Meurens, M.; Agosin, E. (2004). "Monitoring Large Scale Wine Fermentations with Infrared Spectroscopy". Talanta 64 (3): 778–784. doi:10.1016/j.talanta.2004.04.005. PMID 18969672.  https://dx.doi.org/10.1016%2Fj.talanta.2004.04.005
  4. Mucherino, A.; Urtubia, A. (2010). "Consistent Biclustering and Applications to Agriculture". IbaI Conference Proceedings, Proceedings of the Industrial Conference on Data Mining (ICDM10), Workshop Data Mining in Agriculture (DMA10), Springer: 105–113. 
  5. Ahmadi, H.; Golian, A.; Mottaghitalab, M.; Nariman-Zadeh, N. (2008-09-01). "Prediction Model for True Metabolizable Energy of Feather Meal and Poultry Offal Meal Using Group Method of Data Handling-Type Neural Network". Poultry Science 87 (9): 1909–1912. doi:10.3382/ps.2007-00507. ISSN 0032-5791. PMID 18753461.  https://dx.doi.org/10.3382%2Fps.2007-00507
  6. Ahmadi, Dr H.; Mottaghitalab, M.; Nariman-Zadeh, N.; Golian, A. (2008-05-01). "Predicting performance of broiler chickens from dietary nutrients using group method of data handling-type neural networks". British Poultry Science 49 (3): 315–320. doi:10.1080/00071660802136908. ISSN 0007-1668. PMID 18568756.  https://dx.doi.org/10.1080%2F00071660802136908
  7. Chedad, A.; Moshou, D.; Aerts, J.M.; Van Hirtum, A.; Ramon, H.; Berckmans, D. (2001). "Recognition System for Pig Cough based on Probabilistic Neural Networks". Journal of Agricultural Engineering Research 79 (4): 449–457. doi:10.1006/jaer.2001.0719.  https://dx.doi.org/10.1006%2Fjaer.2001.0719
  8. Mojtaba, Tahmoorespur; Hamed, Ahmadi (2012-01-01). "neural network model to describe weight gain of sheep from genes polymorphism, birth weight and birth type" (in English). Livestock Science. ISSN 1871-1413. http://agris.fao.org/agris-search/search.do?recordID=US201400055728. 
  9. Schatzki, T.F.; Haff, R.P.; Young, R.; Can, I.; Le, L-C.; Toyofuku, N. (1997). "Defect Detection in Apples by Means of X-ray Imaging". Transactions of the American Society of Agricultural Engineers 40 (5): 1407–1415. doi:10.13031/2013.21367.  https://dx.doi.org/10.13031%2F2013.21367
  10. Abdullah, Ahsan; Brobst, Stephen; Pervaiz, Ijaz; Umar, Muhammad; Nisar, Azhar (2004). "Learning Dynamics of Pesticide Abuse through Data Mining". Australasian Workshop on Data Mining and Web Intelligence, Dunedin, New Zealand. http://crpit.com/confpapers/CRPITV32Abdullah.pdf. Retrieved 2010-07-20. 
  11. Abdullah, Ahsan; Hussain, Amir (2006). "Data Mining a New Pilot Agriculture Extension Data Warehouse". Journal of Research and Practice in Information Technology 38 (3): 229–249. Archived from the original on 2010-09-23. https://web.archive.org/web/20100923040039/http://www.jrpit.acs.org.au/jrpit/JRPITVolumes/JRPIT38/JRPIT38.3.229.pdf. 
  12. Ahmadi, H.; Golian, A. (2010-11-01). "The integration of broiler chicken threonine responses data into neural network models". Poultry Science 89 (11): 2535–2541. doi:10.3382/ps.2010-00884. ISSN 0032-5791. PMID 20952719.  https://dx.doi.org/10.3382%2Fps.2010-00884
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