Detection of Diseases found in Saffron Plant and its Classification using ML: A Review

Abstract

Abstract: Saffron, derived from the dried stigmas of the Crocus sativus plant, holds immense value as an agricultural product. With a rich history spanning over 3500 years, saffron has been revered as a precious spice and has gained popularity due to its medicinal properties and diverse applications. As the demand for saffron continues to rise, efforts to increase productivity and expand cultivation face various challenges. One significant hindrance is the prevalence of diseases affecting saffron plants, which not only reduce yields but also impact the quality of saffron stigmas. This review paper offers a thorough and inclusive exploration of saffron-related diseases. Encompassing their historical backdrop, present conditions, impact on yield, dynamics of pathogens, methods of survival and spread, variables affecting disease severity, epidemiology, and approaches for sustainable management. Through the investigation of diseases and their discernment using machine learning techniques, the intention of this review is to be of advantage to cultivators, students, scholars, plant protection entities, developmental divisions, outreach staff, policymakers, governmental bodies, and civic organizations. Overall, this review sheds light on the significance of saffron diseases, their impact on production, and the importance of adopting effective disease management strategies. By disseminating this knowledge, stakeholders can make informed decisions to mitigate the risks associated with saffron diseases and contribute to the sustainable growth of the saffron industry.