This course presents concepts and techniques used to collect, process, analyze, and present remotely sensed data for plant agriculture applications. Students learn botanical characteristics of vegetation and their influence on remote sensing while gaining hands-on experience for applications in field crops and specialty crops, such as how remote sensing relates to and augments other precision agriculture technologies such as yield monitoring, yield prediction, stress detection, soil mapping, global positioning systems (GPS), and Geographic Information Systems. Students complete this course with an understanding of how remotely sensed data complements and enhances other data sources as part of information processing chains for crop management and plant phenotyping. This course is offered in conjunction with AGR*4020. Extra work is required for graduate students.
This course presents concepts and techniques used to collect, process, analyze, and present remotely sensed data for plant agriculture applications. Students learn botanical characteristics of vegetation and their influence on remote sensing while gaining hands-on experience for applications in field crops and specialty crops, such as how remote sensing relates to and augments other precision agriculture technologies such as yield monitoring, yield prediction, stress detection, soil mapping, global positioning systems (GPS), and Geographic Information Systems. Students complete this course with an understanding of how remotely sensed data complements and enhances other data sources as part of information processing chains for crop management and plant phenotyping. This course is offered in conjunction with AGR*4020. Extra work is required for graduate students.
