The integration of UAV-based technology in agriculture is expected to enhance efficiency, sustainability, and productivity by improving yields, reducing input costs, and promoting sustainable farming practices. The combination of UAV technology, remote sensing, and data analytics offers a powerful tool for farmers to optimize yields, reduce input costs, and foster sustainable farming practices. As technology advances, the accuracy and accessibility of UAV-based solutions for crop management are expected to improve, further benefiting the agricultural industry. UAVs have become indispensable tools in modern agriculture, particularly in crop yield estimation and disease detection. Their ability to capture high-resolution imagery and advanced data processing and analysis techniques has revolutionized precision agriculture. The integration of UAV technology with machine learning models enhances crop trait estimation accuracy and facilitates real-time decision-making for farmers. The synergy between IoT and UAV technologies presents a synergistic approach to obtaining comprehensive insights into crop health, contributing to more informed decision-making and sustainable agricultural practices. However, addressing the challenges associated with UAV adoption is vital for its widespread utilization in agriculture.