Jian Jin

Jian Jin

Associate Professor, Agricultural & Biological Engineering
Purdue University
Department of Agricultural & Biological Engineering
225 South University Street #2014F
West Lafayette, IN 47907-2093
Office: ABE 3022 *LeafSpec LLC is the ONLY company with the exclusive license from Purdue OTC to commercialize Purdue's handheld leaf-imaging technologies. LeafSpec LLC, Purdue University, and Dr. Jin's lab do NOT have any current relationship with the external company Leaf Tech Ag, and we are NOT responsible for any claims they made about their product.*

Areas of Interest

  • Machine Systems Engineering
  • Data Science and Digital Agriculture

Research Areas

Plant phenotyping sensors systems development, along with machine vision, electronics, statistics, machine learning automation and robotics and their applications in plant phenotyping activities.

Biography

*LeafSpec LLC is the ONLY company with the exclusive license from Purdue OTC to commercialize Purdue's handheld leaf-imaging technologies. LeafSpec LLC, Purdue University, and Dr. Jin's lab do NOT have any current relationship with the external company Leaf Tech Ag, and we are NOT responsible for any claims they made about their product.**

Jian Jin received his Ph.D. in Agricultural Engineering from Iowa State University in 2009. He earned his M.S. degree in Computer Engineering from Denmark Technical University in 2005 and his B.S. degree in Computer Science from Zhejiang University in 2003.

Prior to joining Purdue, he conducted research at DuPont Pioneer, where he was most recently a Technology Leader working on automatic phenotyping and sensing and led a team for the company’s hyperspectral imaging systems for automated plant screening.

Dr. Jin’s major research interest at Purdue is to build the next generation automatic crop plant phenotyping system, along with machine vision, data processing, statistics, and big data modeling. He also has interests in other areas of agricultural sensing, broadly defined, and in automation and robotics in agriculture. He currently has positions open for PhD students and post-docs.

Publication reprints available via Google Scholar.