Paper Title
Societal Upliftment Via Taxonomy: Ai-Powered Citizen Science: Democratizing Plant Taxonomy for Sustainable Agriculture and Rural Livelihood Upliftment

Abstract
Plant taxonomy plays a foundational role in sustainable agriculture, biodiversity conservation, and rural livelihood development; however, its conventional practice remains limited by expert dependency and low public participation. The present study explores AI-powered citizen science as a transformative approach to democratize plant taxonomy and promote societal upliftment. By integrating artificial intelligence–based plant identification tools with participatory data collection, the study highlights how local communities can actively contribute to accurate species identification, agro-biodiversity monitoring, and sustainable resource utilization. The results indicate that AI-assisted taxonomy enhances identification accuracy, increases citizen engagement, and supports informed agricultural decision-making, including weed management and conservation of useful plant species. Furthermore, the integration of traditional ecological knowledge with intelligent digital platforms strengthens community ownership and supports rural livelihood opportunities through sustainable use of medicinal and wild edible plants. Overall, the study demonstrates that AI-enabled citizen science–driven taxonomy can serve as an inclusive, scalable, and sustainable model for biodiversity conservation and rural development, particularly in agrarian and biodiversity-rich regions. Keywords - Plant Taxonomy, Artificial Intelligence, Sustainable Agriculture, Rural Livelihoods