It is imperative that any plant disease be detected at an early age since any disease that might affect the plant may lead to loss of yields and, consequently, the loss of crops. Early detection not only prevents any losses but also saves the farmers time in carrying out unnecessary activities such as labour and other forms of activities. One of the techniques employed in modern intelligent agriculture includes the use of artificial intelligence in the detection of plant disease using photographs. It is done by taking a photograph of the plant using either a digital camera or a phone. Upon analysing the photograph, the computer makes the determination of whether the plant is diseased or not. This method can be used to detect any plant disease ranging from tomatoes, potatoes, and cotton to many other kinds of crops. Not only does it detect the disease, but it also gives advice on how to treat the plant in case of any disease using organic techniques, fertilisers, cultivation practices and also prediction of any disease likely to occur in the future due to climatic factors like temperature and humidity. Apart from all the above facilities, the system also provides facilities to predict future outbreaks of diseases based on environmental conditions such as humidity and temperature. Apart from this, the system also provides facilities such as disease diagnosis through cameras in real time and also an interface in the languages spoken by the farmers, such as Marathi and Hindi.