About this document
Recommending and Predicting Crop Yield Using Smart Machine Learning Algorithm (SMLA) by argaikwad24 is a document available to read on EtoBox.
The paper presents a Smart Machine Learning Algorithm (SMLA) for recommending and predicting crop yield, achieving 95% accuracy compared to traditional algorithms. It addresses challenges faced by farmers, such as crop selection and disease detection, by utilizing machine learning techniques like SVM, RF, and ANN. The proposed system aims to enhance agricultural productivity through automation and data-driven decision-making.
- Author
- argaikwad24
- Language
- EN