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Louise Poole

Image Processing Based Identification of Rot and Diseases in Plants

Identifying and rating diseases by hand is an expensive, time consuming, subjective and unreliable method as compared to what computers can provide. Image processing and machine learning enable automated disease identification, which can be beneficial to people, such as home gardeners and farmers.
Research has proven that automated disease identification systems can be used as a preventative measure against plant rot and death. This paper narrows down the best techniques to segment images of leaves toward improved classification of diseases, typically found on those leaves. An investigation is conducted on image segmentation and machine learning techniques, including state-of-the-art systems, to determine the most appropriate approach to prevent death and rot in plants. Promising results were observed during testing, and show that a system can be implemented to assist with plant health monitoring.

Supervisor: Dr Dane Brown 


Links to the seminar presentations:
Seminar 2 - https://prezi.com/view/iG91zeqxbUZHX95WTkU7/
Seminar 3 - https://prezi.com/view/AtzrJ7IZiKCSlL6ErMR0/
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Louise poole,
Oct 28, 2019, 5:51 AM
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Louise poole,
Mar 29, 2019, 2:11 AM
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