AGRO AI: A compact solution for modernizing the agriculture using NASA’s satellite data and artificial intelligence

• Developed AGRO AI, a unified web and mobile platform for modern agriculture. • Integrates NASA satellite, IoT, and local data for precise, real-time recommendations. • Employs AI and LSTM models for crop, fertilizer, and disease prediction. • Enhances water, soil, and resource management through intelligent automation. • Promotes sustainability, economic growth, and climate-resilient farming practices. Agriculture plays a pivotal role in Bangladesh’s economy, yet farmers continue to struggle with resource optimization, soil health management, disease detection, and timely decision-making, all of which limit productivity and sustainability. Although prior research has attempted to address these issues using machine learning for crop yield prediction, soil analysis, and pest monitoring, most efforts remain fragmented, relying on small datasets and lacking integration of large-scale monitoring with field-level precision. To overcome these shortcomings, this paper introduces AGRO AI, a compact yet comprehensive web and mobile platform that integrates NASA satellite data for large-scale agricultural monitoring with real-time IoT sensor inputs capturing localized land conditions. By leveraging artificial intelligence, AGRO AI generates personalized recommendations for water resource management, soil quality assessment, crop and fertilizer selection, and early detection of diseases and pests, while also providing an AI-powered chatbot for continuous farmer support. The novelty of this research lies in its multi-source data fusion framework, which unifies macro- and micro-level insights to deliver real-time, actionable guidance. This unified approach enables the development of a scalable and integrated platform that improves recommendation accuracy beyond existing localized solutions while offering a farmer-centric interface adaptable to diverse agricultural contexts. Ultimately, AGRO AI enhances crop yields, reduces environmental impact, and contributes to food security and climate-resilient agriculture in Bangladesh.