• Ashi Joshi
• R. Radha

Agriculture is one of the most important sectors of the Indian economy. It employs nearly half of the workforce of India, according to a survey conducted in 2018. The techniques of image processing have been extensively applied in various fields to make predictions. Due to its importance, the prevention of diseases in the crops is a major concern that needs to be dealt with to protect the crops from getting destroyed. This paper attempts to apply the techniques image classification using Temporal Convolution Neural Network to classify the diseases found in the rice crops.

image processing; machine learning; classification; disease classification; disease detection; rice diseases;

"CATEGORIZING RICE DISEASES USING TEMPORAL CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.229-232, April-2019, Available :http://www.jetir.org/papers/JETIR1904I38.pdf

"CATEGORIZING RICE DISEASES USING TEMPORAL CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp229-232, April-2019, Available at : http://www.jetir.org/papers/JETIR1904I38.pdf