Author(s) :
P. P Nagaraja Rao, M. Pranathi, Y. Sonia, P. Vinod Kumar, V.G Hemanandhan, M. Charish
Conference Name :
Sri Venkatesa Perumal College of Engineering and Technology
Abstract :
The urgent need to address the challenges faced by the agricultural sector, particularly in rice cultivation, due to the prevalence of various leaf diseases. Rice is a staple food for a significant portion of the global population, and its productivity is crucial for food security and economic stability in many regions. However, diseases affecting rice leaves can cause substantial yield losses, impacting farmers’ livelihoods and food availability. Overall, the project lies in its potential to address critical issues in rice cultivation, enhance agricultural productivity, and support the livelihoods of farmers worldwide. By developing a robust CNN model for rice leaf disease classification and providing valuable insights through performance evaluation metrics and classification reports, we aim to make a tangible impact on agricultural practices and contribute to global efforts towards sustainable food production.
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