The significance of agriculture in India and the amount of damage to the sector due to plant diseases, calls for a system which can identify plant diseases accurately. Improper identification of diseases and taking wrong measures to prevent the disease will be cost inefficient and time consuming. There are highly accurate existing techniques to identify plant diseases but they are specific to a particular crop. In this project, a generic system is developed to identify plant diseases accurately based on textual description of plant diseases. Dataset containing description of diseases is created using the concept of web scraping. The dataset is preprocessed where, keywords are extracted, categorized and grouped to obtain the list of symptoms from the disease description. Based on the symptoms provided by the user to the system, plant disease is identified and the output is the identified disease along with preventive measures.
S. Prabhu Thandapani, Senthilkumar, S., and Shanmuga Priya S., “Decision Support System for Plant Disease Identification”, in International Conference on Advanced Informatics for Computing Research. Springer, Singapore, 2019.