Development Of Artificial Intelligent System For Identifying Crop And Vegetable Diseases

Abstract

We are living in the era of artificial intelligence and machine learning AI has newlinebeen working in every sector and we all are getting benefitted from it Its scope newlinehas changed our mindset and belief system. As we know that the agriculture newlinesector provides the highest employment in India. Neural network and convolution newlineneural network have a positive impact and it opens a vast field for a lot of newlineopportunities in our dayto day life In my research CNN is used for multiclass newlineclassification by using augmentation and fine-tuning we can increase the newlineaccuracy of the model newlineThe better accuracy of the model strengthens the farmers I have customized the newlineCNN and it is named T CNN Typical CNN It offers 92 percent to 96 percent accuracy This newlinedesigned model can be deployed in an android or web environment. If we extend newlinethe model with a pesticide and fertilizer recommendation system it will be proved newlinemore useful and helpful to the farmers This integration can minimize loss and newlineincrease cultivation newline newline