Majed Alsafyani
Papers
2
Total Citations
51
H-Index
2
About
Majed Alsafyani is an emerging researcher at the intersection of artificial intelligence, the Internet of Things, and precision agriculture, with a particular focus on leveraging cutting-edge computational methods to address real-world challenges in food security and crop management. His work centers on developing intelligent systems capable of detecting and managing plant diseases with greater speed and accuracy than traditional approaches allow. Among his most recognized contributions is his development of PFDI, a precise fruit disease identification model that combines context data fusion with faster convolutional neural networks in edge computing environments. This work, which has garnered 28 citations since its 2023 publication, demonstrates a sophisticated integration of deep learning and edge computing to enable real-time disease diagnosis in citrus and other commercially vital crops. Building on this foundation, his 2025 research on AI-IoT-based smart agriculture pivots further expands the scope, addressing critical agricultural challenges including water scarcity, pest management, and disease treatment through intelligent connected systems, accumulating 23 citations in a short timeframe. Alsafyani's research speaks directly to urgent global concerns about sustainable food production, offering scalable and practically deployable solutions that bridge the gap between advanced machine learning theory and agricultural field application.
Research Focus
Key Achievements
Top Papers
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