Year: 2023
Type: article
Abstract: The convolutional neural networks (CNNs) approach for image classification has a scope to identify the different plant leaf disease. It is possible to implement a innovative way of training the algorithm and methodology enable a good performing and easy system design for practical application. The developed model can recognize three types of leaf diseases and pesticides and/or fertilizers are advised according to the severity of the diseases. The type of green leaf diseases is recognized by CNN. After recognition, the predictive remedies are suggested that can help agriculture related people and organizations to take appropriate actions against these diseases. The image analysis is done by using k-means clustering algorithm which help to group and differentiate the plant leaves based on disease.
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W4385900791