A Cloud-Based Collaborative Platform with Artificial Intelligence for Farmers to Identify Track and Forecast Plant Diseases

Agriculture plays a vital role in sustaining human life, particularly in densely populated developing nations like India, where improving the yield and quality of crops, fruits, and vegetables is crucial.However, these two objectives-higher productivity and better quality-are often hindered by the occurrence of plant diseases.Many of these diseases are infectious in nature and, if not detected early, can result in complete crop failure.Traditional methods of disease detection that rely on human experts face significant limitations.The sheer geographical spread of farmland, coupled with the limited number of trained plant pathologists and low levels of agricultural education among farmers, makes human-based diagnosis slow, costly, and inefficient.There is, therefore, an urgent need to introduce automation into crop disease detection using modern technology.Recent years have seen advances in agricultural technology through the use of robotics, computer vision, and other smart systems.While these technologies have been successfully applied to monitor plant growth, manage nutrients, and detect weeds, the automation of plant disease identification is still underdeveloped.This is despite the fact that many plant diseases can be visually diagnosed based on changes in color, shape, and other physical symptoms.One major reason for the slow adoption of such technologies in agriculture is the lack of large-scale commercial investment, especially when compared to fields like healthcare and education.Moreover,