Remote Plant Disease Diagnosis

One of the key factors that determines the loss of agricultural production and in its yield is the discernment and recognition of plant diseases. Plant disease research is the investigation of any visible points of defects in any portion of the plant that differentiates it from others. Identifying the disease requires a great deal of effort and competence, as well as extensive knowledge of plants and disease detection investigations. The methods of image accession, extraction, segmentation, and pre-processing of the image's layers, are used to detect diseases, commonly, and still here. This paper presents the technical architecture of our solution, highlighting the integration of Python, FastAPI, and React.js to detect plant diseases and demonstrates its effectiveness through comprehensive testing and evaluation. The results indicate high accuracy in disease detection and underscore the system's potential to revolutionize potato crop health monitoring.