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DEVELOPMENT OF A MACHINE LEARNING MODEL FOR AUTOMATIC DETECTION OF CROP DISEASES – (Case Study)

2025-11-24

Abstract excerpt

This project outlines the development and deployment of an intelligent system designed to provide rapid and accurate diagnosis and treatment recommendations for common agricultural diseases. Addressing the critical challenge of ensuring food security through effective crop management, the solution integrates advanced machine learning with a user-friendly web interface. The core of the system is a Convolutional Neu...

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Literature Corpus work
0572d797-495a-5bb8-9e22-eaab8ab82cf4
DOI
10.22541/au.176402482.24299791/v1
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