Abstract: This paper presents a secure IOT-plant disease detection system which identifies the plant disease and provides remedies that can be used as a defense mechanism against the disease. The database obtained from the Internet is properly segregated and the different plant species are identified and are renamed to form a proper database then obtain test-database which consists of various plant diseases that are used for checking the accuracy and confidence level of the project. Then using training data, we will train our classifier and then output will be predicted with optimum accuracy. We use Convolution Neural Network (CNN) which comprises of different layers which are used for prediction.

Keywords: Convolution Neural Network (CNN).

| DOI: 10.17148/IARJSET.2021.8570