Raspberry Pi (Python AI) for Plant Disease Detection
Shagufta Aftab, Chaman Lal, Suresh Kumar Beejal, Ambreen Fatima
Abstract
The diagnosis of diseases at an early stage is the main goal of this paper. We concentrate on image processing techniques in this research. This entails a range of processes ranging from taking a picture of the leaves to using Raspberry PI to diagnose the condition. The Raspberry PI is used to connect the camera to the display device, from which the data is sent to the cloud. Various procedures, such as acquisition, pre-processing, segmentation, and clustering, are used to examine the acquired images. As a result, the demand for labour in big farm areas is reduced. Also, the cost and effort are reduced, whereas productivity is increased. Various procedures, such as acquisition, pre-processing, segmentation, and clustering, are used to examine the acquired images. As a result, the demand for labour on huge farmlands is reduced. Costs and efforts are also minimized, while production is raised.