Contrary to common belief, today's modern farming business is more data-driven, accurate, and intelligent than ever. In practically every business, particularly "smart agriculture," the vast changes in IoT-based technology have led to a redesign that has switched from empirical to numerical techniques. Precision agriculture, which updates conventional agricultural methods, is the primary remedy. The function of IoT applications in smart farming is described in this study. To help farmers boost production and product quality, this study presents an IoT-oriented Smart Agriculture System that may provide them with real-time data on environmental factors such as temperature, soil moisture, and water level. This paper employs Fuzzy Logic Controllers for agricultural yield categorization. Also utilizing novel techniques with sensors such as humidity, temperature, PIR, soil moisture & ultrasonic sensors. This study achieves 97% accuracy in the results which is more than 7% than the existing system.
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Pawar et al. (2024) studied this question.
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