• CHETTYPALLY PREETHIKA
• Dr. SREEDHAR BHUKYA

Rice is the primary source of nutrition for more than 140 million Bangladeshis. Rice as a food, not only meets the protein and calorie needs of the ordinary individual, but rice production also contributes to the country's rural employment and GDP. However, rice production is impeded by a variety of rice leaf diseases. The goal of this project is to create a model that can forecast disease outbreaks so that farmers can take appropriate measures. These findings provide a CNN-based model that can accurately forecast various illnesses of rice plant leaves with 97.40 percent accuracy. 900 photos of diseased and healthy leaves were used. The model was trained to identify four prevalent rice illnesses using 10-fold cross validation procedures.

deep learning, CNN, Paddy leaf, disease prediction

"Paddy Leaf Disease Detection using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.d1-d7, June-2022, Available :http://www.jetir.org/papers/JETIR2206301.pdf

"Paddy Leaf Disease Detection using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppd1-d7, June-2022, Available at : http://www.jetir.org/papers/JETIR2206301.pdf