RICE LEAF DISEASE DETECTION AND REMEDIES RECOMMENDATION USING DEEP LEARNING

RICE LEAF DISEASE DETECTION AND REMEDIES RECOMMENDATION USING DEEP LEARNING

G Ravi kumar¹, K Vedavathi², K Dhanusha³, M Ganesh Yadav⁴,

K Vikram Chowdary⁵,S Sai Charan Tej⁶

¹Associate professor^{, 2,3,4,5,6} Students, Dept of CSE

^1,2,3,4,5,6 Siddartha Institute of Science and Technology, Puttur

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ABSTRACT:

The agriculture sector is the main sector and India holds the record for the Second-Largest agricultural land in the world. Rice is an important food crop and has become the main food for most of the population. Thus Rice availability and its Quality are the factors that we need to consider. But Rice has a serious negative effect on crop yield. Correct and early diagnosis of rice is the key to avoiding those effects. Recent developments in deep learning show that automatic image recognition systems using convolution Neural Network(CNN) models can be very beneficial in such problems. So, here we have used Convolution Neural Network which has provided a breakthrough in an image-based reorganization by eliminating the need for image preprocessing as well as providing in-built feature selection. Here We have created our own rice leaf disease image dataset. The proposed CNN architecture is based on VGG16 and ResNet-50 and is trained and tested on the dataset collected from rice fields and the internet.

Key Words: Deep Learning, Transfer Learning, CNN, ResNet-50, Rice Leaf Diseases, Remedies