Plant Leaf Disease Detection Using Transfer learning

This paper aims to address the challenges of modern agriculture, in particular the prevalence of plant diseases. With the world's population expected to reach up to 9.7 billion by 2050[1], the demand for food continues to grow, requiring the production of more food with fewer resources. This study presents a comparison among variety of Deep Learning models to automatically detect plant leaf diseases. The experimentation results show that EfficientNetB3 was the best fit for this purpose, achieving 99.92% as accuracy. These results highlight Deep Learning's potential to overcome modern agriculture's challenges, paving the way for more sustainable and efficient food production.