A Machine Learning Framework for Olive Farms Profit Prediction

A Machine Learning Framework for Olive Farms Profit Prediction is a scholarly work, published in 2021 in ''Water''. The main subjects of the publication include economic profit, feature engineering, precision agriculture, artificial intelligence, Vitis vinifera, chemometrics, agricultural technology, overfitting, machine learning, feature selection, and computer science. The paper presents an end-to-end Machine Learning framework for predicting the potential profit from olive farms.