Session
Weekend Poster Session 1
Location
Utah State University, Logan, UT
Abstract
This paper presents the development of an autonomous spraying robot designed to optimize agricultural practices through precise pesticide application, facilitated by the integration of real-time satellite data. The robot utilizes multispectral imaging from satellites, including NDVI and thermal data, to assess crop health and identify specific needs for intervention. The system aims to significantly reduce the volume of chemicals used in farming by targeting only the areas that require treatment, thus minimizing environmental impact while maintaining or enhancing crop yield. By employing advanced algorithms for data processing and machine operation, the robot autonomously navigates through fields, delivering pesticides in an optimized manner based on the satellite-derived insights. This project highlights the potential of combining robotics with satellite technology to create sustainable, efficient agricultural systems that can respond dynamically to the conditions of each crop area. The implications of such technological advancements are discussed, particularly in terms of scalability, environmental benefits, and the potential for precision agriculture to adapt to global challenges such as climate change and food security.
Harnessing CubeSat Technology for Precision Pesticide Management in Egyptian Agriculture
Utah State University, Logan, UT
This paper presents the development of an autonomous spraying robot designed to optimize agricultural practices through precise pesticide application, facilitated by the integration of real-time satellite data. The robot utilizes multispectral imaging from satellites, including NDVI and thermal data, to assess crop health and identify specific needs for intervention. The system aims to significantly reduce the volume of chemicals used in farming by targeting only the areas that require treatment, thus minimizing environmental impact while maintaining or enhancing crop yield. By employing advanced algorithms for data processing and machine operation, the robot autonomously navigates through fields, delivering pesticides in an optimized manner based on the satellite-derived insights. This project highlights the potential of combining robotics with satellite technology to create sustainable, efficient agricultural systems that can respond dynamically to the conditions of each crop area. The implications of such technological advancements are discussed, particularly in terms of scalability, environmental benefits, and the potential for precision agriculture to adapt to global challenges such as climate change and food security.
