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Artificial Intelligence and its application to butterfly conservation
The aforementioned limitation of traditional image organizer software can be overcome using the power
of Artificial Intelligence technology. I have developed a powerful intelligence image organizer that can
identify the butterfly species and automatically classify them into their respective folders reducing the
time burden of the end user. Interested people can check out the advanced development article here.
https://medium.com/@theivaprakashamhari/classifying-and-organizing-butterfly-images-in-desktop-using-fastai-and-python-43e22df2f02f
Before organizing
After organizing
Enhancing arts and creativity
Although, I am lover of arts and paintings, my drawing/painting abilities reach almost a negligible
percentage. I came across this news when I was browsing the internet that Google came up with an
application called AutoDraw. ‘AutoDraw’ is a new kind of drawing tool that pairs the magic of machine
learning with drawings from talented artists to help everyone create anything visual, fast. I was fascinated
by the description of application and
started to draw my first rough sketch
of butterfly. To my amusement, at
the very next moment, various
suggestions were shown above my
drawing to convert my rough sketch
into a clean final butterfly sketch. This
AI application will surely augment
both the common man and artist to
explore and enhance their creativity.
https://www.autodraw.com/
Data Analytics and Simulation Modeling
Data analytics refers to qualitative and quantitative techniques and processes used to enhance
productivity of a task. In the field of butterfly conservation, the region wise butterfly data from various
surveys can be assessed to help the government to know the real time status of butterflies diversity and
to formulate schemes and futuristic policies for butterfly conservation. Along with the integration of AI,
the accurate statistical predictions can be produced 1000 times faster than the time taken using standard
methods. It can therefore be simpler to predict the species distribution, butterfly seasons and the onset
of butterfly migration.
For many industries, AI had been the eye opener. More research needs to be carried out by sector,
government, and academic and non-profit industries to understand the complete scope of what is
feasible. It won't be simple, but we can help guarantee a better future by implementing the strength of AI
to assist both beings and our natural systems flourish.
PATTAMPOOCHI
A TNBS MAGAZINE
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