Year: 2024
Type: article
Abstract: The classification of Dry Beans using various techniques such as Support Vector Machine (SVM) classification, K-means clustering, Decision Trees and Random Forest (RF) classification using an ipython notebook. To refine the model, performance matrix graphs of Cross entropy vs Epoch number, True value vs Predictive value and Accuracy vs Epoch. This analysis is often used in agricultural practices for improved crop management, increasing yield, resource optimization, enhancing sustainability etc.
Institution: R.V. College of Engineering
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4402650940