Affiliation:
1. Jawaharlal Nehru Technological University, Hyderabad, India
Abstract
Any developing economy can be thought of as having its foundation in the agricultural sector. One industry where automation and the internet of things can have a significant impact is agriculture and modern farming. Due to the country's expanding population and rising food demands, agriculture is important in India. As a result, agricultural yield needs to be increased. Diseases brought on by bacteria, fungus, and viruses are one of these significant factors in decreased crop yields. By using methods for plant disease detection, this can be avoided and managed. Farmers must have access to the latest technologies and practices in order to get the most yield possible from their crops. A maximum agricultural output must be maintained, which means keeping healthy plants and keeping an eye on their surroundings to spot or detect diseases. Artificial intelligence (AI), machine learning, and deep learning have all been proven to be incredibly useful in the field of modern agriculture as a means of sophisticated image analysis.
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