• Ms. L.NagaSwetha
• Mr. Dr M. Sravan Kumar Reddy

Because it is a necessity for every living thing on this planet, agriculture serves as the backbone of human society. In terms of humanity, paddy agriculture is quite important, particularly in the Asian subcontinent. We must safeguard the significance and productivity of agriculture since we humans are among the most intellectual creatures on the planet. The productivity of agriculture has increased to some extent with the arrival of the IT sector. It has made significant contributions to agricultural healthcare. The term "deep learning" is popular in the IT industry. This trendy term has significantly increased agricultural output. Due to recent events,The overuse of pesticides and chemicals created by humans has resulted in an increase in plant diseases. These plant diseases must be treated since they can develop into serious conditions. Additionally due to a lack of technical understanding, it can occasionally be challenging to identify these disorders. Therefore, this project offers a prototype for identifying the illness that affects paddy plants. The model employs transfer learning, a paradigm for effectively addressing deep learning issues. This model calculates the likelihood that a disease will arise, which is useful for making important decisions about the health of the plant..

Transfer Learning, Convolutional Neural Network, Deep Learning, Paddy Crop Disease

" Deep Neural Network Based Paddy Crop Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g202-g206, July-2023, Available :http://www.jetir.org/papers/JETIR2307633.pdf

" Deep Neural Network Based Paddy Crop Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg202-g206, July-2023, Available at : http://www.jetir.org/papers/JETIR2307633.pdf