根据给定的关键词，从文献数据库中搜索与词汇相关的文献，并提供至少两篇文章的标题和摘要。
机器学习
文章1：
标题：Machine learning for predicting the performance of construction projects
摘要：Construction projects are characterized by a high degree of complexity, uncertainty, and risk. The use of machine learning algorithms to predict project performance has been advocated as a means of enhancing project management practices. This paper presents a framework for incorporating machine learning models into project performance prediction. The framework comprises four components: data selection, data preprocessing, model selection, and performance evaluation. The framework is applied to a case study of a large construction project, and the results indicate that machine learning algorithms can successfully predict project performance metrics.

文章2：
标题：Machine Learning and Its Applications in Agriculture: A Review
摘要：Agriculture is one of the most important sectors of the economy in many countries. With the increasing demand for food, feed, and fuel, there is a need to improve the efficiency and sustainability of agricultural production. Machine learning has emerged as a powerful tool for addressing these challenges. This review article provides an overview of the applications of machine learning in agriculture, including crop yield prediction, disease detection and diagnosis, soil quality assessment, and precision farming. The review also discusses the prospects and challenges of applying machine learning in agriculture, and highlights some of the key research directions in this field.