The convergence of Artificial Intelligence (AI) and Internet of Things (IoT) in agriculture presents transformative possibilities for global food production, resource optimization, and supply chain management. However, these advancements introduce significant ethical concerns that must be addressed to ensure fairness, privacy, and inclusivity. This chapter explores the concept of ethical harvest, underscoring the global importance of applying AI-driven IoT solutions in an equitable and transparent manner. The exponential growth in data collection from agricultural practices, combined with the predictive capabilities of AI, has heightened concerns over data privacy and ownership. Smallholder farmers, especially in developing regions, face risks of data exploitation and misuse by corporations and governments, which could perpetuate inequalities in access to markets, technology, and critical information. Algorithmic biases in AI models also pose a global challenge. Unintended biases in decision-making processes could deepen disparities, favouring large-scale agribusinesses while marginalizing smaller farming communities. This chapter advocates for global governance frameworks that prioritize algorithmic transparency, fairness, and accountability, ensuring that AI systems are not only effective but also ethical. Additionally, the global digital divide raises the risk of unequal access to these advanced technologies. Bridging this gap requires international cooperation, investment in infrastructure, and capacity-building initiatives to empower smallholder farmers worldwide. This chapter calls for the development of inclusive policy frameworks that integrate ethical AI practices, ensure data sovereignty, and promote equitable technological adoption. By focusing on these global issues, agriculture can embrace AI and IoT innovations while fostering sustainability, fairness, and privacy in food production systems.