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| ABE 53000 - Plant Phenotyping Technologies |
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Credit Hours: 3.00. Introducing concepts, models, algorithms, and tools in plant phenotyping development and application projects. Class topics include high-throughput phenotyping in greenhouse, field phenotyping platforms, Ag remote sensing, plant sensors (hyperspectral, 3D thermal, florescent, X-ray, etc.), plant image processing technologies, statistical modeling, big data, database requirement, artificial intelligence algorithms, and hybridizations of the above techniques applied in plant phenotyping. Permission of instructor required.
0.000 OR 3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Laboratory, Lecture Offered By: College of Agriculture Department: Ag & Biological Eng Program Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Know the concept of digital agriculture and plant sensors' applications. 2. Understand the plant phenotyping technologies, in both software and hardware. 3. Learn the skills of designing a professional phenotyping imaging system and collecting data. 4. Understand the current phenotyping activities in academia and industry. 5. Know the major plant sensors and their applications. 6. Have the capability of choosing or designing the most feasible sensor system for specific phenotyping projects. 7. Understand the role of the plant sensors in a precision agriculture system. 8. Learn basic image processing skills. 9. Have the capability of applying computational intelligence and machine learning techniques to classification, prediction, pattern recognition, and optimization problems. Restrictions: Must be enrolled in one of the following Levels: Graduate |
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