Potato Disease Prediction Project with Code, Documents and video Explanation
Youtube Implementation Video : https://youtu.be/VPW8OGHTUrk
Agriculture is the cultivation of land and raising of crops to produce food. It is a form of subsistence farming that has been practised for thousands of years. With the advancement in technology and the use of artificial intelligence in diagnosing plant diseases, it becomes important to make pertinent research toward sustainable agricultural development. In the past, diagnosis of plant diseases was done by observing the symptoms of a diseased plant. However, with the advent of artificial intelligence and its application to agriculture, it has become important to make pertinent research in this area. With the use of image processing and deep learning algorithms, it is now possible to diagnose a plant disease by using a picture taken from a smartphone. The advancement of agricultural technology has made it possible to grow more crops with limited resources. Potato is one of the staple foods that are widely consumed, becoming the 4th staple food consumed throughout the world. Also, the world demand for potato is increasing significantly, primarily due to the world pandemic coronavirus. However, potato diseases are the leading cause of the decline in the quality and quantity of the harvest. Inappropriate classification and late detection of the disease's type will drastically worsen the plant conditions. Fortunately, several diseases in potato plants can be identified based on leaf conditions. However, the increase in the population of the world is constantly increasing the demand for more food. One way to meet this demand is to use artificial intelligence in diagnosing plant diseases and using that information to more efficiently grow food. Machine Learning as Deep Learning is applied for the work done.
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