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Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121
Apple Diseases Classificaiton with Google Teachable Machine
This is a project i made for my MINOR in college , which is based on Machine Learning and focuses on Image Processing .Feel free to make changes .
This contains a complete workflow for the estimation of variant estimators from the long reads and it estimates using the NBS LRR specific resistance genes.
an application of the logistic regressor for the plant disease resistance genes. Given a fasta file and the corresponding expression file and a motif types which you think are associated with the plant disease resistance, if prepares the classification datasets and then fits a logistic regressor for the model building.
I coded this plant resistance gene miner which uses a regular expression plus a web scrap approach and given a resistance gene id, it will return the genbank id