NEC06665 Automatic image recognition for Japanese Knotweed for the conveyancing sector

GSTDTAP

项目编号	NE/S002383/1
	NEC06665 Automatic image recognition for Japanese Knotweed for the conveyancing sector
	Tom August
主持机构	NERC Centre for Ecology and Hydrology
项目开始年	2018
	2018-04-02
项目结束日期	2019-04-01
资助机构	UK-NERC
项目类别	Research Grant
项目经费	14469(GBP)
国家	英国
语种	英语
英文摘要	We will address our current knowledge gaps with a programme of activities aimed at increasing our understanding of the market need and potential end-users, as well as producing a proof-of-concept image classifier. Work to be undertaken: Proof-of-concept algorithm - Using over 8,000 images of Japanese Knotweed and over 20,000 images of other common garden plants, we will produce a proof-of-concept image classification algorithm that can identify images of Japanese Knotweed, with an estimate of certainty, and can be integrated with the Japanese Knotweed risk map to provide an overall assessment of the likelihood of the species being present on a property. Building this proof-of-concept is key for follow-on funding as it will be the basis of any future application. Additionally, the limitations and capabilities of the technique are unknown until a classifier has been built and evaluated. A functional proof-of-concept should increase stakeholder recruitment and engagement in the follow-on application. RICS consultation - We will consult with the Royal Institute of Chartered Surveyors (RICS) as the trade body for surveyors to discuss the needs gap in the industry, the size of the market and to set out the evaluation criteria of the image classifier. Understanding the market and the specific end-users will be key to the follow-on application. Through previous work with RICS, we know that they are experts in Japanese Knotweed surveying and remediation industry and they can contribute significantly to identifying markets for an image classification tool, as well as connecting us with end-users who could be involved in a follow-on application. Classifier report - The project will collate images of Japanese Knotweed, primarily from the Biological Records Centre's system 'iRecord'. We will report on the availability of images, the impact of image and model selection on classifier accuracy, the computational requirements, and the accuracy that the classifiers are able to achieve in 'real-world' conditions. The technical limitations of the project, both in terms of images available, and the accuracy of the classifier are key for identifying specific end user applications. This understanding will be used to specify objectives for the follow-on application and to select end-users for the co-design phase. Code base - We will produce a library of code for designing, training, and implementing image classifiers which will be the basis of the follow-on application. This code base will be the intellectual property of CEH, derived from CEH's data and image holdings, which will form the core of the follow-on application.
来源学科分类	Natural Environment Research
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/87094
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Tom August.NEC06665 Automatic image recognition for Japanese Knotweed for the conveyancing sector.2018.