Even globally, agriculture is still one of the biggest employment sectors, especially in developing countries. At the same time, it is a sector where child labour prevails, with nearly 70% of children engaged in agriculture, according to ILO data. Even though laws against child labour exist or are in signing, following and implementing them specifically in rural interior places is a daunting task. Advancements in IoT technology driven by Artificial Intelligence offer highly hopeful possibilities to tackle such issues. Moreover, these technologies are not confined to increasing agricultural produce but will also give new dimensions for monitoring, preventing and eliminating child labour. This paper discusses the intersection of AI, IoT and legal frameworks where these technologies are integrated in such a way that they can help to monitor real-time data for child labour law implementation. The research examines current legal frameworks, where they are weak and how technology can enhance enforcement. It uses a doctrinal research approach and deals with statutes, international conventions, etc., in child labour, along with case studies on technological innovations in agriculture. This discussion showcases that AI and IoT solutions have been used for agricultural efficiency. However, the potential of these technologies can be utilized more effectively in this domain to counteract child labour. This will be perfect, although the detection of child labour can improve if technologies like these are incorporated within legal frameworks, assuming they do so ethically and consider privacy concerns. The paper proposes that the use of AI-driven IoT technologies in agriculture, using strong legal frameworks would provide an accountable system to ensure transparency and strengthen enforcement for child labour.