Chedi,The Plant Care and Crop Prediction App

Author(s)	Prince Roy, Mushirif A, Vyshakh M K, Febin James
Country	India
Abstract	The research behind the Chedi App stems from a comprehensive exploration of modern plant care and agriculture management practices. Focused on leveraging cutting-edge technologies, including machine learning, image recognition, and real-time monitoring, the research aims to revolutionize the way users interact with and care for indoor plants. Rooted in the principles of sustainability and community, the Chedi App seeks to provide a user-friendly and informative platform that not only assists in plant care but also fosters a shared passion for nature among a diverse user community. The research is driven by a commitment to creating an innovative, responsive, and future-proof application that addresses the evolving needs of plant enthusiasts and agricultural practitioners.
Keywords	Plant care, Indoor gardening, Mobile application, Machine learning, Sustainabe Farming,Crop Prediction App
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 1, January-February 2024
Published On	2024-02-13
Cite This	Chedi,The Plant Care and Crop Prediction App - Prince Roy, Mushirif A, Vyshakh M K, Febin James - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.9095
DOI	https://doi.org/10.36948/ijfmr.2024.v06i01.9095
Short DOI	https://doi.org/gthqr8

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