Abstract: Several diseases have a detrimental influence on the productivity of betel nut crops, which are exacerbated when there is continuous rainfall and high relative humidity. A variety of machine learning-based visual data analysis technologies are currently being employed to look for indicators of the disease. This research presented here is the prediction model and to create a new dataset. This research presented here is about prediction model for predicting disease in betel nut using CNN model. In this we will be discussing about how we can use CNN model for predicting the disease in betel which will help the farmer to decide which type medication need to be applied for that palm tree to reduce that disease at early stage.

Keywords: Machine learning, CNN model, Betel nut diseases

| DOI: 10.17148/IARJSET.2022.9677