P. Bala Swathi Priya, D. Rajashekhar, G. Gayathr, K. Kartheek, P. Ravi Chandra, Dr. M. Veera Kumari 03 04 Grama Soil Express is a comprehensive digital agriculture application designed to empower farmers with realtime insights into soil health crop suitability and disease management The application integrates soil testing leaf disease detection and intelligent recommendations through an intuitive mobile interface By leveraging AIbased voice assistance and cloudbased backend services the system provides accurate soil parameter analysis cropspecific fertilizer guidance and alternative crop suggestions The Soil Test module evaluates pH Electrical Conductivity EC Nitrogen Potassium and Organic Carbon generating actionable recommendations to optimize crop yield The Leaf Scan module uses convolutional neural networks to detect plant diseases from captured leaf images providing treatment suggestions and confidence levels Results from both modules are consolidated in a digital Soil Health Card which offers features such as PDF download and readaloud voice output for accessibility Grama Soil Express addresses the limitations of traditional soil testing methods and existing agricultural applications by combining precision ease of use and realtime decision support Through backend integration with Firebase realtime updates and modular architecture the app ensures scalability security and reliability Performance and usability testing confirm that the application is robust and userfriendly making it a practical tool for farmers seeking sustainable and efficient crop managementThe project demonstrates the potential of digital agriculture and AI technologies in improving soil fertility reducing crop loss and supporting informed agricultural practices paving the way for smart technologydriven farming solutions Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026