CASE STUDY
AGRICULTURE
Sriya-AI models can be used in the rice agriculture industry to predict rice varieties based on their features
The dataset has 75,000 records with 1 categorical and 107 numerical features of 5 rice varieties.
Sriya-AI techniques were used to create models with decision tree, multilayer perceptron, random forest, and XGBoost algorithms.
Models achieved 94-97% accuracy in predicting rice varieties based on features.