Data Set for Rice Diseases with labels

With its focus on promoting the medicinal varieties of rice and connecting farmers with expert opinions, Staple represents an innovative and impactful approach to promoting sustainable and healthy rice farming practices.

Rice Species Classification using ResNet-18 and a Custom defined CNN, both using PyTorch. If you are getting started with PyTorch, then you may consider cloning this repo and start learning :)

Example data and Keras implementation of a deep convolutional neural network described in "Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network".

Using Genetic programming, an Evolutionary Algorithm, to solve and research the problem of Symbolic regression analysis and Rice Classification.

A collection of deep learning models for rice classification using PyTorch, torchvision, and scikit-learn, with performance metrics evaluated using Slurm jobs.

🌾A modern deep-learning workspace for rice variety recognition using two benchmark datasets Aruzz and BDRice.

Deep learning model implementation and research projects including AlexNet, InceptionV3, VGG16, ZFNet, Bangla digit recognition, flower classification, rice classification, and exercise detection using TensorFlow and Keras.

Deep Learning based Rice Classification