Plant Disease Detection Using Image Processing and Machine Learning

Abstract

Cloud computing offers various advantages to its users, such as data storage on the cloud, on-demand access to resources, pay-per-use services, and so on. As a result of these advantages, a greater number of users have been drawn to utilize the cloud's services. Because cloud customers access its services over the internet, there is a possibility of security assaults on the user's data. To identify security attacks, an attack detection system is required. The attacks are detected using a model based on machine learning techniques. The detection of attacks will benefit both cloud consumers and cloud service providers. If the model is built with machine learning methods, it can improve the performance of security systems. The security features of the systems are managed by creating security systems that use machine learning techniques.