An effective answer to modern agriculture dilemmas like insufficient resources, climate change, and population growth is the implementation of artificial intelligence (AI) into smart agriculture. The emphasis of this chapter is on how AI technologies are utilized in hydroponics, which is an advanced non-soil based farming system with high resource use efficiency and controlled growth conditions. Specifically, it explores the use of computer vision, machine learning, statistical forecasting, and the Internet of Things (IoT) to optimize key plant cultivation parameters, such as maximizing growth, predicting yields, and managing resources. This chapter highlights how AI can contribute to sustainable agriculture through automated harvesting, plant health monitoring, and precise nutrient delivery. It also examines the benefits of drone technology for smallholder farmers, emphasizing the importance of developing appropriate, affordable, user-friendly, and accessible solutions tailored to their specific needs. This chapter concludes by suggesting that AI implementation can lead to multi-purpose farming technologies capable of meeting food demands while minimizing environmental impact. It also underscores the need for collaboration among stakeholders and the development of ethical frameworks.