Master the fundamentals of planning and executing drone missions for agricultural applications, from flight preparation to data analysis.
Master the fundamentals of planning and executing drone missions for agricultural applications, from flight preparation to data analysis.
This comprehensive course teaches you how to effectively use drones (UAVs) for agricultural applications. Learn end-to-end mission planning, from image acquisition to data visualization, while understanding drone technology, safety protocols, and regulatory requirements. The course covers aerial mapping workflows, mission planning tools, and data processing techniques. While focused on agricultural applications, the skills taught are applicable across various fields. The curriculum combines theoretical knowledge with practical application, making it ideal for both technical professionals and drone enthusiasts.
4.4
(12 ratings)
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Instructors:
English
English
What you'll learn
Evaluate the suitability of drone technology for specific agricultural applications
Master mission planning using available tools and software
Understand international drone legislation and safety regulations
Learn to process and analyze drone-captured imagery
Develop skills in aerial mapping and data visualization
Gain practical knowledge of remote sensing principles
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 3 modules in this course
This course provides comprehensive training in drone technology and its applications in agriculture. It covers essential aspects of UAV operations, from mission planning to data analysis. Students learn about remote sensing principles, drone flight preparations, safety protocols, and data processing techniques. The curriculum includes hands-on experience with mission planning tools and image processing software. Special emphasis is placed on agricultural applications while ensuring understanding of international regulations and best practices.
Remote Sensing, UAV's and Applications
Module 1
Planning a Mission and Acquiring Data
Module 2
From Acquisition to Visualisation
Module 3
Fee Structure
Instructors
2 Courses
Pioneering Roboticist and Agricultural Drone Innovation Leader
Dr. João Valente currently serves as a Tenured Scientist in UAVs, Robotics & AI at the Spanish National Research Council (CSIC) and heads the Social Artificial Intelligent Drones Lab (Social Drones Lab) at Wageningen University. After receiving his PhD in Robotics and Automation from the Polytechnic University of Madrid in 2014 with cum laude, he has established himself as a leading expert in agricultural robotics and drone technology. His career spans over 15 years in UAVs and field robotics, during which he has authored more than 50 publications and developed innovative solutions for agri-food and ecological management challenges. His research focuses on creating intelligent flying machines that can touch, smell, and see, while making drone technology more accessible to farmers and ecologists. He leads several major research initiatives, including the NWO projects MARS4EARTH and FIELDS2COVER, and the H2020 FLEXIGROBOTS project. Under his leadership, the Social Drones Lab has pioneered concepts like the Cyborg Farmer, presented at the 2020 Dutch Design Week, and developed the popular MOOC "Drones for Agriculture." His team includes 2 postdoctoral researchers, 6 PhD students, and numerous MSc and BSc students, and he has supervised over 20 MSc students across multiple disciplines. His exceptional contributions to the field have been recognized with three awards for his PhD thesis in both academic and industrial sectors, and his work continues to bridge the gap between advanced drone technology and practical agricultural applications.
2 Courses
Remote Sensing Pioneer and Agricultural Technology Expert
Dr. Lammert Kooistra has recently been appointed as Professor of Remote Sensing at Wageningen University, advancing from his previous role as associate professor at the Laboratory of Geo-Information Science and Remote Sensing. His research focuses on developing integrated sensing approaches to understand and improve sustainable plant production systems, combining UAV and satellite sensing with active canopy measurements and machine learning. His expertise spans drone technology, hyperspectral sensing systems, and geographical information systems, with particular emphasis on agricultural and environmental applications. He leads the development of advanced multi-sensor systems that can retrieve individual plant traits, from basic measurements like height to complex characteristics such as Sun Induced Fluorescence (SIF). His significant publications include groundbreaking work on UAV-based LiDAR for crop height estimation, automated pest detection using deep learning, and diurnal variation of chlorophyll fluorescence in agricultural crops. As course instructor for "Drones for Agriculture: Prepare and Design Your Drone (UAV) Mission," he shares his expertise in drone technology and remote sensing applications with a global audience. His research has garnered over 10,447 citations, reflecting his significant impact on the field of remote sensing and precision agriculture. At Wageningen University, he continues to advance the integration of multiple sensing technologies while leading research initiatives that combine ecological modeling with cutting-edge remote sensing applications for sustainable agriculture and environmental management.
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4.4 course rating
12 ratings
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