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Fuzzy Logic Applications in Smart Farming for a Greener Tomorrow

  • Asgar Guluzade,
  • Leyla Mammadova,
  • Gunay Alizada

摘要

The integration of fuzzy logic within smart farming systems represents a beacon of hope in the pursuit of sustainable agricultural practices. This paper explores the transformative potential of fuzzy logic in addressing contemporary challenges and advancing towards a greener future. Fuzzy logic, with its ability to handle imprecise and uncertain data, offers a holistic approach to optimizing agricultural operations, from crop management to resource utilization and decision-making processes. By dynamically adjusting irrigation schedules, crop cultivation methods, and pest control strategies based on real-time environmental conditions, fuzzy logic-driven insights foster sustainable practices amidst evolving challenges. The proposed methodology, exemplified through logical inference rules tailored to fluctuating soil moisture levels and temperature, demonstrates the synergy between fuzzy logic and smart farming. Embracing fuzzy logic signifies a paradigm shift towards sustainable farming practices, promising efficiency gains and environmental stewardship for future generations.