International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Development of an ESP32-Based Fuzzy Logic Smart Farming Monitoring System for Enhanced Agricultural Productivity

Author(s) Mukesh Kumar Sinha, Dr. Rajesh Kumar Tiwary
Country India
Abstract The study outlines a new strategy for increasing agricultural productivity through the development and application of a fuzzy logic-controlled smart farming monitoring system. To continuously evaluate environmental factors, the system integrates a variety of sensors, including water level, light intensity, soil moisture, temperature, and humidity. According to experimental testing of the system output, the developed model's accuracy and efficiency in predicting and operating the water pump are 96.5% and 95.3%, respectively. With a 98.7% water pump operation rate, the model has proven to be highly reliable and responsive, with the system identifying the need for modification within one minute of the altered setting. It is now clear that fuzzy logic is the most effective method when compared to either the current farmer strategy or an alternative control design. Specifically, it guarantees accuracy, minimizes wasteful inputs, lowers labour costs, and lessens the risk of malpractice, all of which contribute to the system's superiority. It follows that fuzzy logic technology has the potential to revolutionize the traditional method of agricultural management. It enables the development of waste-avoidance and risk-proof strategies, enabling sustainable performance in the face of shifting environmental pressures.
Keywords Smart farming, Fuzzy logic control, Sensor technology, Agricultural productivity, Environmental monitoring
Field Mathematics > Logic
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-24
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.69732
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