Authors - Soham Paithankar, Supriya Narad Abstract - Agriculture is a major contributor to India economy and supports the livelihood of a large population, however, traditional farming practices largely depend on manual observation, weather information, which often results in resource utilization and reduced crop productivity. The increasing variability of climate condition further challenges. The integration of internet of things (IoT) and software technologies provides an effective approach and data-driven decision by enabling real-time monitoring and data-driven decision making. This paper presents such as temperature, humidity, and soil moisture using field sensor data. The collected information is processed and stored using Python based software and compared with real-time weather information obtained through a weather API. A dashboard interface developed using Flask and streamlit visually presents sensor data, weather data, and comparative result to support informed decision-making system. The system demonstrates how low-cost IoT devices combine with software platform can improve agriculture monitoring, optimize resource usage, and support sustainable farming practice, this study highlights the potential of IoT and software integration in transforming the potential of IoT. agriculture into an intelligent data-driven system suitable for developing region such as India.
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