Herbs Ailment Diagnosis using AI Techniques for Sustainable Innovation in Agriculture

Abstract

The agricultural products quality is the influential of economy of any country, especially India contributes 20 to 25% of country's GDP from the agricultural sector. Hence the developing of healthy plants leads to good economic growth of the country and less global food problem. If plants are growing in unhealthy condition and it is effected by disease directly decrease in the country's GDP, to prevent this disease by the existing methods is time consuming and not as per the capital of the farmers.so we can make use of image processing and deep learning to discover acquired infections to the plants early stages. Herbs can be visually seen hence it is convenient to apply image processing technique to identify the disease. Herbs were main origin of food on earth. If the plants are periodically effected by infections and disease becomes a big threat. The diagnosis is given to the plants based on the symptoms visually seen. Nowadays negligible preference towards the traditional methods and the technology is grown, switched towards the deep learning process to detect disease and deep learning is the drastic growing technology in image classification problems.