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Data Mining in Agriculture

Author

Listed:
  • Antonio Mucherino

    (University of Florida)

  • Petraq J. Papajorgji

    (University of Florida)

  • Panos M. Pardalos

    (University of Florida)

Abstract

No abstract is available for this item.

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Suggested Citation

  • Antonio Mucherino & Petraq J. Papajorgji & Panos M. Pardalos, 2009. "Data Mining in Agriculture," Springer Optimization and Its Applications, Springer, number 978-0-387-88615-2, June.
    • Handle: RePEc:spr:spopap:978-0-387-88615-2
    DOI: 10.1007/978-0-387-88615-2
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    Citations

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    Cited by:

    1. Rafael Rodríguez & Marcos Pastorini & Lorena Etcheverry & Christian Chreties & Mónica Fossati & Alberto Castro & Angela Gorgoglione, 2021. "Water-Quality Data Imputation with a High Percentage of Missing Values: A Machine Learning Approach," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    2. Bohumil Kába, 2011. "Exploratory analysis of selected indicators of the Czech Republic regional labour markets," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(4), pages 123-128.
    3. Johannes Berens & Kerstin Schneider & Simon Görtz & Simon Oster & Julian Burghoff, 2018. "Early Detection of Students at Risk – Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods," CESifo Working Paper Series 7259, CESifo.
    4. Zonlehoua Coulibali & Athyna Nancy Cambouris & Serge-Étienne Parent, 2020. "Site-specific machine learning predictive fertilization models for potato crops in Eastern Canada," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-32, August.
    5. Yotsaphat Kittichotsatsawat & Varattaya Jangkrajarng & Korrakot Yaibuathet Tippayawong, 2021. "Enhancing Coffee Supply Chain towards Sustainable Growth with Big Data and Modern Agricultural Technologies," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    6. Antiopi Panteli & Basilis Boutsinas & Ioannis Giannikos, 2021. "On solving the multiple p-median problem based on biclustering," Operational Research, Springer, vol. 21(1), pages 775-799, March.
    7. Junlong Zhang & Youbin He & Yuan Zhang & Weifeng Li & Junjie Zhang, 2022. "Well-Logging-Based Lithology Classification Using Machine Learning Methods for High-Quality Reservoir Identification: A Case Study of Baikouquan Formation in Mahu Area of Junggar Basin, NW China," Energies, MDPI, vol. 15(10), pages 1-15, May.
    8. Muhammad Islam & Muhammad Usman & Azhar Mahmood & Aaqif Afzaal Abbasi & Oh-Young Song, 2020. "Predictive analytics framework for accurate estimation of child mortality rates for Internet of Things enabled smart healthcare systems," International Journal of Distributed Sensor Networks, , vol. 16(5), pages 15501477209, May.
    9. Orkida Ilollari & Petraq Papajorgji & Ardian Civici, 2024. "Stimulating the Post-COVID-19 Economic Recovery Scenarios to Evaluate Students' Understanding," International Journal of Sociotechnology and Knowledge Development (IJSKD), IGI Global, vol. 16(1), pages 1-14, January.
    10. Lynn Wu & Lorin Hitt & Bowen Lou, 2020. "Data Analytics, Innovation, and Firm Productivity," Management Science, INFORMS, vol. 66(5), pages 2017-2039, May.
    11. Orkida Ilollari & Petraq Papajorgji & Adrian Civici & Howard Moskowitz, 2022. "Measuring Client’s Feelings on Mobile Banking," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 23(1), pages 28-39, June.
    12. Chetan Badgujar & Sanjoy Das & Dania Martinez Figueroa & Daniel Flippo, 2023. "Application of Computational Intelligence Methods in Agricultural Soil–Machine Interaction: A Review," Agriculture, MDPI, vol. 13(2), pages 1-39, January.
    13. Arif Jamal Siddiqui & Sadaf Jahan & Maqsood Ahmed Siddiqui & Andleeb Khan & Mohammed Merae Alshahrani & Riadh Badraoui & Mohd Adnan, 2023. "Targeting Monoamine Oxidase B for the Treatment of Alzheimer’s and Parkinson’s Diseases Using Novel Inhibitors Identified Using an Integrated Approach of Machine Learning and Computer-Aided Drug Desig," Mathematics, MDPI, vol. 11(6), pages 1-17, March.
    14. Hui Zou & Zhihong Zou & Xiaojing Wang, 2015. "An Enhanced K-Means Algorithm for Water Quality Analysis of The Haihe River in China," IJERPH, MDPI, vol. 12(11), pages 1-14, November.
    15. Danijel Jevtic & Romain Deleze & Joerg Osterrieder, 2022. "AI for trading strategies," Papers 2208.07168, arXiv.org.
    16. Odile Carisse & Mamadou Lamine Fall, 2021. "Decision Trees to Forecast Risks of Strawberry Powdery Mildew Caused by Podosphaera aphanis," Agriculture, MDPI, vol. 11(1), pages 1-16, January.

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