Date of Publication :15th June 2024

Abstract:As the foundation of the Indian economy, the agriculture sector provides a living for many people in the nation. Maintaining crop productivity and quality is therefore essential. However, managing agricultural diseases and detecting them are very challenging activities requiring a large investment of time and skilled staff. This work intends to cover the road for the early prediction of plant diseases using deep transfer learning techniques. Through simplification of early involvement measures, this technique seeks to lower financial losses. The recommended application predicted plant leaf diseases with an accuracy percentage of 98.62%.

Reference :