Integrated Agricultural Decision Support System for Precision Farming: A Multi-Faceted Approach

Abstract

Abstract: As the global population continues to expand, ensuring food security becomes an increasingly critical challenge. Precision farming, leveraging advanced technologies, offers a promising solution to optimize agricultural practices and maximize crop yield. In this research paper, we present a comprehensive approach to agricultural management through leaf disease detection. By employing a deep learning approach utilizing ResNet-30 for accurate and efficient disease detection, the system can promptly identify and classify diseases, facilitating timely intervention to mitigate potential crop losses. The integration of this module results in a holistic decision support system that empowers farmers with actionable insights. In conclusion, this research contributes to the advancement of precision agriculture by offering a synergistic approach to leaf disease detection.