Detection of Potato Plant Diseases Using Deep Learning

There is a very famous medical quote “The good- news stories in medicine are early detection, early intervention”. This applies very well in the field of agriculture as well. According to a report published in Research gate form India faces a total loss of INR 290 billion per annum. Potato crop is among the most important crop in the world. Potato crops are important because of many factors which may include benefits like Dietary Diversity, Calorific Efficiency, wide Global Acceptance etc. There are total of 30,000 plant diseases out of which 5,000 prevail in India. Potato disease such as Early Blight and Late Blight are among the diseases that leads to a huge potato crop loss in the whole world as well as India. This paper focuses on using technological advancement in the field of Computer Science as well as camera hardware capabilities to detect such plant diseases at the earliest stage which will help farmers to take appropriate measures. Some of the technologies that can be incorporated into agricultural field to detect potato plant diseases are CNN (Convolutional Neural Network), ANN (Artificial Neural Network), RNN (Recurrent Neural Network) etc.