A SURVEY ON BETTER ORGANIC SOIL SUSTAINABILITY

. In response to the escalating demands of modern agriculture and the imperative for sustainable land management, this project presents an innovative real-time agriculture-based IoT application. The project introduces a novel approach to soil analysis and crop recommendation, leveraging advanced sensor technology and cloud computing. At its core, the application aims to enhance the productivity and sustainability of agricultural practices by collecting land samples from diverse geographical regions and utilizing cloud-based data analysis to provide tailored crop recommendations to farmers. Through the integration of IoT sensors and cloud infrastructure, the system facilitates the collection of soil data, including key parameters such as soil moisture, fertility, and pH levels, from multiple land areas. This data is then securely stored and analyzed in the cloud, employing machine learning algorithms to generate precise crop recommendations based on the unique characteristics of each land sample. By harnessing the power of data-driven