International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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SoilScope: Integrating Artificial Intelligence into Mobile Diagnostics for Soil Health

Author(s) Mr. Jerome Howard Santos Miclat, Mr. Nathaniel Viray Manansala, Mr. Jan Raymond Zabala Soriano, Mr. Mark Anthony Duque Madalipay, Dr. Joey Miranda Suba
Country Philippines
Abstract Soil degradation, unpredictable climate patterns, and limited access to agricultural diagnostics continue to challenge small-scale farmers and home gardeners, particularly in developing regions such as the Philippines. This study presents SoilScope, an AI-powered mobile application designed to provide real-time soil analysis, early disease detection, and sustainability-focused recommendations through accessible smartphone technology. Developed using React Native, Firebase, and lightweight Convolutional Neural Network (CNN) models, the system classifies soil types and detects visible soil-related plant diseases using in-app image capture. The application incorporates offline functionality, gamification, and an AI chatbot to enhance usability and agricultural literacy among users with varying technical backgrounds. A mixed-methods evaluation involving end-users and information technology experts was conducted using the System Usability Scale (SUS) and the ISO/IEC 25010 quality framework. Results indicated high perceived usability, responsiveness, reliability, and overall effectiveness in supporting precision soil care practices. SoilScope demonstrates strong potential as a cost-efficient digital agriculture tool that empowers farmers to make timely, science-based decisions, contributing to sustainable farming and food security initiatives aligned with national and global development goals.
Keywords Artificial Intelligence, CNN, Digital Agritech, Mobile Application, Precision Agriculture, Soil Disease Detection, Soil Analysis, Sustainable Farming, Usability Evaluation
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-23
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.79352
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