• Garima Paliwal
• Riddhi Raj Rathore
• Siddhi Raj Rathore
• Dr.Mayank Patel

This study has been undertaken to investigate An automatic method for classifying the diseases that affect the Tulsi (Holy Basil) leaf. It aims to apply the features of the CNN (Convolutional Neural Network) to classify the Tulsi leaf into different classes such as healthy leaf or infected leaf. The study investigates how CNN improves prediction accuracy and refers its importance with respect to disease management and potential yield of Tulsi plant.

Disease detection, CNN, image detection, Machine learning, Tulsi leaf

"Improvised Tulsi Leaf Disease Detection using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.231-236, June-2025, Available :http://www.jetir.org/papers/JETIRGW06036.pdf

"Improvised Tulsi Leaf Disease Detection using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. pp231-236, June-2025, Available at : http://www.jetir.org/papers/JETIRGW06036.pdf