Published Paper Details:

This Agriculture plays a pivotal role in driving economic growth and maintaining a healthy biosphere. Nearly every aspect of human life relies on a diverse range of agricultural products. With the challenges posed by climate change and the increasing demand for high-quality food, farmers must adapt to these changing conditions. To enhance crop yield and growth, farmers need to have a deep understanding of the prevailing climatic conditions to make informed decisions about crop selection. IoT-based Smart Farming represents a significant advancement in the agricultural sector, as it allows for real-time monitoring of fields. It continuously tracks essential factors such as humidity, temperature, and soil conditions, providing farmers with clear and up-to-the-minute observations. In addition, machine learning techniques have found valuable applications in agriculture, aiming to enhance crop productivity and quality. By employing appropriate algorithms on the collected data, these systems can offer recommendations for selecting the most suitable crops based on the current conditions.