Alves Lab

Data Analytics for Efficient and Sustainable Livestock Farming.

We work on the development and application of efficient statistical learning methods and computational tools for the analysis of large livestock data. The lab research program centers on combining on‑farm sensor data and artificial intelligence (AI) techniques for animal monitoring. The general goal is to create decision‑making tools that will support efficient management decisions. Additionally, we employ high‑throughput phenotyping alongside modern molecular technologies to investigate the genetic basis of novel and hard‑to‑measure traits. Our lab mission is to harness top‑notch technologies to improve animal production, reproduction, welfare and health, ultimately supporting efficient and sustainable livestock farming.

Data Analytics for Efficient and Sustainable Livestock Farming.

We work on the development and application of efficient statistical learning methods and computational tools for the analysis of large livestock data. The lab research program centers on combining on‑farm sensor data and artificial intelligence (AI) techniques for animal monitoring. The general goal is to create decision‑making tools that will support efficient management decisions. Additionally, we employ high‑throughput phenotyping alongside modern molecular technologies to investigate the genetic basis of novel and hard‑to‑measure traits. Our lab mission is to harness top‑notch technologies to improve animal production, reproduction, welfare and health, ultimately supporting efficient and sustainable livestock farming.

Developed by Prof. Anderson Alves at the University of Georgia

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