In contemporary agriculture, the utilization of fertigation systems has emerged as a highly effective method for enhancing the growth and yield of crops, when compared to traditional cultivation techniques. However, many farmers rely on generators and conventional electricity to operate water pumps, which incurs substantial operational, transportation, and maintenance costs. This project aims to investigate and assess the performance of a solar-powered system designed to optimize the efficiency of fertigation practices in relation to varying weather conditions. Furthermore, the system incorporates an Internet of Things (IoT) framework that facilitates real-time monitoring of data related to energy production and environmental conditions via the Blynk application. The primary objective of this research is to explore the correlations between solar energy output and key parameters, including temperature, humidity, and precipitation levels. Additionally, the harvested solar energy will be stored in a battery for subsequent use in the fertigation system, specifically for powering the water pump. By enabling users to identify optimal timing and weather conditions for energy production, this project offers a practical prototype, a software interface, and a comprehensive monitoring analysis for solar panel systems based on IoT technology.
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