Smart Farming System For Wheat Crop

Abstract

The rapid advancement in technology has led to the development of fully automated systems that can communicate with each other, making processes more efficient and streamlined. The growing demand for efficient and sustainable agriculture practices, there has been an increasing focus on integrating advanced technologies into the farming industry. This project presents a state-of-the-art Intelligent IoT-based Automated Irrigation System that has the potential to revolutionize conventional agriculture in Pakistan. The system utilizes various sensors, including humidity, temperature, soil moisture and pH sensors, to collect real-time data of the wheat crop and that is then transmitted to a Raspberry Pi3 for analysis of threshold values at each crop stage. The real time values from the sensors will then check threshold and will predict the optimal soil conditions for irrigation of wheat crop, which will alert the farmer through Thing Speak Channel and GUI. The system also provides farmers with real-time updates on the irrigation status, offering them greater control over the irrigation process. Our proposed Smart Farming System offers an efficient, reliable, and cost-effective solution for smart farming for wheat crop production. This proposed system has a high demand in the agriculture industry due to its reliability, efficiency, and cost-effectiveness, which can significantly improve crop yield and enhance agricultural sustainability. Additionally, we present the results of our performance evaluation, demonstrating the system's feasibility and effectiveness. Our research aims to contribute to the sustainable development of agriculture, optimizing the use of resources and enhancing the global food supply chain.