If there are not enough labeled data for supervised learning algorithms to work, semi-supervised learning can be utilized in the agriculture sector to solve real-world problems. Semi-supervised learning is an e
The Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Naïve Bayes (NB) are used as supervised algorithms for a machine-learning approach. The Text Blob analyzer is used as a lexicon-based approach, where all the words occurring in the corpus are assigned their respective ...