Nilkanth Mukund Deshpande

A field-acquired annotated dataset for robust and generalizable pomegranate disease detection using generative learning

Pomegranates are popular in India for their health benefits and high levels of antioxidants and vitamins. Detecting diseases in pomegranates is important for maintaining their quality. However, inconsistent dataset annotations and challenging field conditions make it difficult to...

A next-generation hybrid generative learning framework integrating dual GAN and Swin Transformer–CNN for robust early diagnosis of pomegranate diseases

Nowadays, health is the most important thing, and everything is hybrid, so we need to take care of our health, which is our first priority. To identify pomegranate diseases and determine whether a pomegranate is healthy or dis-eased, this research proposes a novel hybrid method t...