Take a dive and expand your knowledge about drones en drone technology. Learn how to prepare and execute a flight mission with an Unmanned Aerial Vehicle (UAV) and how to use, process and understand the collected drone data for your own applications.
Are you ready to unlock the potential of drones in agriculture and beyond? Our course, "Drones for Agriculture: Prepare and Design Your Drone (UAV) Mission," is an exciting journey into the world of Unmanned Aerial Vehicles (UAVs) and their applications in various fields. Led by top professors from Wageningen University & Research's Information Technology Group and Laboratory of Geo-Information Science and Remote Sensing, this course will equip you with the knowledge and skills to plan and execute drone missions effectively.
While no specific prerequisite knowledge is required, being a computer software enthusiast will be beneficial. The course is designed for individuals with a general interest in drones, regardless of their background.
This course is ideal for agriculture technicians, researchers, and graduate students from multidisciplinary technical fields. However, anyone interested in learning how to use off-the-shelf small drones for generating high-resolution images or who has a general interest in drone technology is welcome to participate.
By the end of this course, you'll have a comprehensive understanding of the aerial mapping workflow and how to implement it using programmable small drones. You'll be equipped with the knowledge to gain valuable insights from drone missions, opening up exciting possibilities in agriculture and beyond. Join us on this fascinating journey into the world of drones and discover how this technology can revolutionize your field of interest!
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Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps
Agriculture is no exception to digital revolution, going beyond a simple adoption of Information and Communication Technologies (ICTs). According to ICRISAT, digital agriculture is defined as “ICT and data ecosystems to support the development and delivery of timely, targeted information and services to make farming profitable and sustainable while delivering safe nutritious and affordable food for all.”
