dc.contributor.author |
Thakker, Madhav |
|
dc.contributor.author |
Anand, Saket (Advisor) |
|
dc.contributor.author |
Purandare, Swapna (Advisor) |
|
dc.date.accessioned |
2021-05-21T10:23:53Z |
|
dc.date.available |
2021-05-21T10:23:53Z |
|
dc.date.issued |
2019-11-16 |
|
dc.identifier.uri |
http://repository.iiitd.edu.in/xmlui/handle/123456789/901 |
|
dc.description.abstract |
The decline in biodiversity threatens food-security and the quality of life of all living beings. The
decline in the number of insects (bees) is a critical phenomenon that should be looked deeply
into. Computer Vision and Machine Learning techniques can be proposed as a solution to
this problem. I used various techniques like Mask-RCNN, Faster-RCNN and Domain-Adaptive
Faster-RCNN on the Apis Mellifera Bees (Western Honey Bee) to assess the health of honey bee
colonies. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
IIIT-Delhi |
en_US |
dc.subject |
Machine Learning, Computer Vision, Domain Adaptation, Regions with CNNs (RCNN) |
en_US |
dc.title |
Assessment of honey bee colony health using computer vision and machine learning |
en_US |
dc.type |
Other |
en_US |