Incorporating uncertainty in sensor data into bayesian grape bunch growth models
2021 master's thesis by Marina Chen at University of Canterbury
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Key Facts
- Publisher: UC Research Repository[1]
- Language of work or name: English[2]
- Country of origin: New Zealand[3]
- Publication date: 2021[4]
- Main subject: statistics[5]
- Work available at URL: https://ir.canterbury.ac.nz/handle/10092/102025[6]
- Title: Incorporating uncertainty in sensor data into bayesian grape bunch growth models[7]
- Author name string: Marina Chen[8]
- Thesis submitted to: University of Canterbury[9]
- On focus list of Wikimedia project: NZThesisProject[10]
- Copyright status: copyrighted[11]
- Online access status: open access[12]
- Thesis committee member: Elena Moltchanova[13]
- Thesis submitted for degree: Master of Science[14]