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Fuzzy and Data Mining Methods for Enhancing Plant Productivity and Sustainability

  • Khalil Ahmed,
  • Mithilesh Kumar Dubey,
  • Devendra Kumar Pandey,
  • Sartaj Singh

摘要

The agriculture sector plays a pivotal role in addressing global food security challenges while also grappling with the imperative of sustainability. In recent years, the use of data mining and fuzzy logic together has emerged as a potent toolset for optimizing plant productivity and fostering sustainable agricultural practices. This chapter explores the intersection of Fuzzified reasoning and Knowledge discovery in data in the context of plant productivity and sustainability. We delve into the principles, methodologies, and real-world applications of these technologies to empower agricultural stakeholders with the knowledge and tools needed to advance sustainable farming practices.