A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

This project addresses the problem of predicting water levels in fish ponds - a critical factor in aquaculture management. Using Machine Learning, we can: Predict water levels based on environmental ...

ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...

Machine Learning Mastery is a comprehensive repository designed to teach machine learning with Python. It covers essential techniques from data preprocessing to advanced methods in classification, ...

1 Department of Statistics, College of Arts and Science, University of Benghazi, Benghazi, Libya. 2 Department of Mathematics, College Arts and Science, University of Benghazi, Benghazi, Libya. 3 ...

Abstract: This article will improve the accuracy for prediction of crop yield using machine learning algorithms. The dataset used for this article consists of 1112 ...

Abstract: In this paper, an efficient turbo decoding technique is proposed based on the polynomial regression method. The most known Logarithmic Maximum A Posteriori (Log-MAP) algorithms for turbo ...