AgroTech: Optimizing Farm Management with Data-Driven Insights and Relational Database Integration through Web Application for Enhanced Soil Analysis, Weather Projection, and Crop Yield Outcomes

In modern agriculture, the integration of effective data analytics and web applications has the potential to revolutionize agricultural practices. However, Bangladesh’s agricultural sector encounters notable hurdles like delayed information, insufficient issue identification, and communication gaps between farmers and agricultural experts. Moreover, the failure to detect and address potential problems early worsens crop damage and losses. This paper explores a web application with an integrated relational database designed to address critical challenges in agriculture, aiming to enhance productivity and sustainability. The study utilizes data from Kaggle datasets, including soil pH, temperature, moisture, nutrient levels, crop data, and weather information, for informed decision-making. A comprehensive literature review were conducted to support the research and development of this web application. Alerts triggered within…