Smart planters integrated with artificial intelligence are emerging as transformative tools that can improve personal wellbeing, sustainability, and urban livability. By combining sensors, automation, and predictive analytics, they reduce the effort required for plant maintenance, enhance indoor environments, and support small-scale food production. This paper explores the current state of smart planter technology, explains how artificial intelligence extends their capabilities, and reviews recent research that demonstrates their potential for disease prediction, sustainable food cultivation, and personalized wellness. It concludes by reflecting on the challenges that remain and outlining future directions. The convergence of smart planters and artificial intelligence illustrates how technology can reconnect people with nature in ways that feel natural, personal, and profoundly effective.

Smart planters, Artificial intelligence, Indoor gardening, Urban agriculture, Plant health monitoring, Sustainability, Wellness technology

John, M., Bankole, I., Ajayi-Moses, O., Ijila, T., Jeje, T., & Lalit, P. (2023). Relevance of advanced plant disease detection techniques in disease and pest management for ensuring food security and their implication: A review. American Journal of Plant Sciences, 14, 1260-1295. https://doi.org/10.4236/ajps.2023.1411086 SCIRP

Decardi-Nelson, B., & You, F. (2024). Artificial intelligence can regulate light and climate systems to reduce energy use in plant factories and support sustainable food production. Nature Food. (Cornell University). (Published September 9, 2024) Cornell Chronicle+2EurekAlert!+2

Mandadi, K. K. (2025). Cutting-edge innovations to combat plant diseases. Texas A&M University, Department of Plant Pathology & Microbiology. News release. Texas A&M Innovation

Zahid, A., & Texas A&M AgriLife Research. (2021). Controlled‐environment agriculture to make leaps through automation, AI, and robotics. Texas A&M AgriLife Today. AgriLife Today

Wageningen University & Research. (2024). AI in plant research. https://www.wur.nl/en/article/ai-in-plant-research.htm