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[HTML][HTML] Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review
In India, agriculture serves as the backbone of the economy, and is a primary source of
employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and …
employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and …
[HTML][HTML] A decision support system for crop recommendation using machine learning classification algorithms
Today, crop suggestions and necessary guidance have become a regular need for a farmer.
Farmers generally depend on their local agriculture officers regarding this, and it may be …
Farmers generally depend on their local agriculture officers regarding this, and it may be …
Comparative Analysis of Random Forest and Multilayer Perceptron Algorithms for Predicting Gross Domestic Product
This study examines the efficacy of machine learning techniques, particularly Multilayer
Perceptron (MLP), and Random Forest and in forecasting Nigeria's Gross Domestic Product …
Perceptron (MLP), and Random Forest and in forecasting Nigeria's Gross Domestic Product …
Comparative Performance Evaluation of Random Forest, Extreme Gradient Boosting and Linear Regression Algorithms Using Nigeria's Gross Domestic Products
Statistical methods like linear regression analysis are frequently used to create predictive
analytic models. However, these methods have limitations that may affect the accuracy of the …
analytic models. However, these methods have limitations that may affect the accuracy of the …