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@article{179610, author = {Puneet Dixit and Prof Sneha Vanjari and Chaitanya Andhale and Sumit Jaiswar}, title = {Web and Mobile Apps for Fruit Disease Detection: A Survey}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {11}, number = {12}, pages = {7355-7360}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=179610}, abstract = {With the increasing global reliance on agriculture and the need for timely intervention in managing plant diseases, web and mobile applications have emerged as crucial tools for farmers, especially in fruit cultivation. This paper surveys prominent mobile and web-based platforms that utilize artificial intelligence (AI) and machine learning (ML) to detect plant diseases through image analysis. Focusing on usability for farmers with limited digital literacy, the study evaluates apps based on detection accuracy, user interface simplicity, language support, integration with agricultural databases or extension services, and digital reach. Notable platforms such as Plantix, Tumaini, PlantVillage Nuru, Agrix Tech, MyIPM, and Save Our Citrus are profiled in detail. These apps vary in their scope, technology, and regional focus, but collectively represent a growing trend in AI-powered agricultural support systems. A comparative analysis highlights their strengths and limitations, emphasizing the importance of localization, offline capabilities, and expert integration. This survey aims to inform researchers, developers, and policymakers about the current landscape of digital plant health tools, paving the way for more inclusive and effective solutions in smart agriculture.}, keywords = {Plant disease detection, Artificial intelligence (AI), Machine learning (ML), Image analysis, Mobile applications, Web applications, Smart agriculture, Digital agriculture, Farmer support tools, Plant health monitoring, Agricultural technology, Usability, Digital literacy, Detection accuracy, Language support, Agricultural databases.}, month = {May}, }
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