A Unique Strengthening Mango Farming Model Combining Disease Surveillance, Quality Control and Production Management

The popularity of mangoes is a part and parcel of their horticultural economy, that makes business in fruit. In this paper, we have elaborated a user friendly point and click system for disease detection grading as well as classification in mango leaves which is coupled with strategic farming management methods. The suggested system uses modern technology to detect the diseases in mango leaves accurately; with image processing and machine learning for classification & gradation using Deep Learning algorithms like Efficient Net B3. Moreover, it enhances functional farm management strategies to prevent contagion and conducive crop health. This system is targeted towards the effective detection at an appropriate time of specific diseases, and identification to manage subsequent interventions upon crops during mango cultivation so as to help in proactive disease management with overall increased yields food quality.