• Ashwini S P
• Mohan H G
• Soumya D

Leaves are the most important components of plant life, which synthesize vital contents through photosynthesis. If leaves become sick from bacteria or other pathogens, the sickness may cause the yield of a crop to decline severely. That’s why timely detection and precise identification of leaf diseases is so important for maintaining plant health. With the rapid advancement of deep learning technologies, we currently have efficient and reliable approaches that enable accurate recognition and classification, helping farmers take timely action to save their crops.

CNN, Machine Learning, Deep Learning, Tomato Leaf disease

"Tomato Leaf Disease Recognition and Classification: A Review of Deep Learning Approaches, Challenges, and Future Directions.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.f597-f608, November-2025, Available :http://www.jetir.org/papers/JETIR2511591.pdf

"Tomato Leaf Disease Recognition and Classification: A Review of Deep Learning Approaches, Challenges, and Future Directions.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppf597-f608, November-2025, Available at : http://www.jetir.org/papers/JETIR2511591.pdf