Author(s):
The integration of drones and satellite imaging technologies has revolutionized crop monitoring and precision farming by providing real-time, high-resolution data for agricultural management. Drones offer the advantage of capturing localized, detailed imagery of crops at a low altitude, enabling the detection of early signs of stress, disease, or pest infestation. Satellite imaging, on the other hand, provides a broader, larger-scale perspective with periodic global coverage, which is useful for monitoring regional trends and macro-level agricultural health. The synergistic use of both technologies enhances data accuracy and timeliness, allowing farmers to make informed, data-driven decisions for optimal resource allocation and improved crop yield. This paper explores the benefits, challenges, and applications of drone and satellite imaging integration in crop monitoring, emphasizing their role in enabling precision farming practices such as soil health monitoring, irrigation management, and yield prediction. Furthermore, the future potential of artificial intelligence and machine learning in processing and analyzing the vast amounts of data generated by these technologies is discussed.
