Sustainable Agriculture: Leveraging Iot And Machine Learning For Data-Driven Agriculture

Abstract

Agriculture is a crucial occupation in India, playing a key role in meeting the food demands of the nation. With the country’s population increasing rapidly, farming has become a significant component of the economy. However, despite its importance, the adoption of advanced technologies like the Internet of Things (IoT) and Information and Communication Technology (ICT) in farming remains minimal, leading to numerous challenges in traditional agricultural practices. Emerging technologies such as IoT and machine learning hold the potential to address these limitations. The integration of these technologies into farming practices, often referred to as "smart farming," could substantially improve productivity, sustainability, and efficiency in agriculture. IoT devices can provide real-time insights into factors like soil moisture, weather conditions, and plant health. Machine learning models can analyze this data to guide farmers in making better decisions. Therefore, The aim of this paper is to propose a system that combines IoT and machine learning to overcome the current limitations faced in traditional farming. This integrated solution is designed to improve agricultural practices by increasing productivity, lowering costs, and helping farmers make informed decisions.