Published Paper Details:

The importance of plants cannot be overstated since they play critical roles in sustaining life on earth while also providing numerous benefits to human beings. Understanding different plant species is crucial not only from a research standpoint but also from an environmental perspective as well as preserving biodiversity; however traditional methods based on keys are cumbersome and frustrating because it uses technical botanical terminology making it difficult even for experts in some cases let alone novices. Fortunately, today's ubiquitous digital technologies like high resolution mobile cameras and enhanced remote access to databases offer solutions to this problem. With the assistance of advanced image processing techniques and pattern recognition algorithms like neural networks automated plant identification is now a reality. The realm of machine learning dominates computer science research presently and its scope is broadening daily. Among the multiple fields within this domain convolutional neural networks stand out as particularly popular and well suited for tasks such as image classification - like the one employed in this project.