AI Based Automated Fertilizer Dispenser System

Abstract

Efficient nutrient management is a critical determinant of crop yield and soil longevity. Conventional manual fertilizer application often results in disproportionate distribution. This leads to substantial resource wastage, ecological degradation, and escalated operational costs. Addressing the lack of accessible precision agricultural tools for farmers, this paper proposes a cost effective, Artificial Intelligence and Internet of Things enabled automated fertilizer dispenser system. By integrating microcontrollers, real time soil sensors, and intelligent actuation mechanisms, the framework calculates and dispenses precise fertilizer dosages tailored to dynamic soil conditions. Experimental outcomes demonstrate enhanced resource optimization. The system mitigates fertilizer wastage by twenty to twenty five percent while simultaneously reducing manual labor and promoting sustainable farming practices.