CAST papers are developed by interdisciplinary task forces composed of volunteer authors, chairs, reviewers, liaisons, and translators from academia, industry, and government. This index recognizes those contributors and highlights the breadth of expertise that supports CAST’s work.

Xinyue Ye

Affiliation
Texas A&M University
Title/Position
Professor, Landscape Architecture & Urban Planning
Publications as Author
CAST_AI-in-Agriculture
This report examines the current and emerging applications of AI in agriculture, including crop and livestock monitoring, precision management, yield prediction, disease and pest detection, automation, and supply chain optimization. It explores the data sources, algorithms, and digital infrastructure that underpin AI-driven systems, as well as the role of AI in enhancing sustainability, productivity, and resilience under climate and resource constraints.