Data-Driven Seminar Series

The Institute for Digital Forestry, Institute for Plant Sciences, and Digital Agriculture present the College of Agriculture Data-Driven Seminar Series.

Data-Driven Seminar Series Header

Since Fall 2020, Purdue Agriculture has hosted the Data-Driven Agriculture seminar series featuring experts in data science and digital agriculture from across Purdue's College of Agriculture and beyond.

To view all past seminars, check out the Data Driven Agriculture playlist on Purdue Agriculture’s YouTube channel.

Fall 2023 Seminars

The seminar series features experts in data science, digital agriculture, and digital forestry and will be offered in-person (WSLR 116) at 12:30 p.m. ET on select Thursdays throughout the semester.

August 31, 2023 | Hosted by the Institute for Digital Forestry | Computational thinking for undergraduates in the natural sciences: yes, it's for everyone!, Dr. Diane Ran Wang, Assistant Professor, Agronomy, Purdue University
September 21, 2023 | Hosted by the Institute for Digital Forestry | Third Wave AI: Interpretable, Robust, Trustworthy Machine Learning for Digital Forest and Agriculture, Dr. Guang Lin, Director of Data Science Consulting Services and Professor of Mechanical Engineering & Mathematics, Purdue University
October 5, 2023 | Hosted by the Institute for Digital Forestry | Improving climate monitoring and impact studies with satellite climate data records, data science, and cloud computing, Dr. Yuhan Rao North Carolina Institute for Climate Studies, North Carolina State University
October 19, 2023 | Hosted by the Institute for Plant Sciences | Optimizing root and rhizosphere traits for productive, resilient, and sustainable cropping systems, Dr. Chris Topp, Associate Member and Principal Investigator, Donald Danforth Plant Science Center
October 26, 2023 | Hosted by the Institute for Plant Sciences | Hyperspectral imaging: from cells to corn fields, Dr. Cristina Ubach, Senior Research Scientist,Associate Science Fellow, Bayer Crop Science
November 2, 2023 | Hosted by the Institute for Plant Sciences | From genes to canopy: Exploring maize growth and response via genetics and phenomics, Dr. Addie Thompson, Assistant Professor, Plant, Soil and Microbial Sciences, Michigan State University
November 16, 2023 | Hosted by the Institute for Digital Forestry | Close Range Sensing of Forest: Opportunity and Challenge, Xianlin Liang, Wuhan University
December 7, 2023 | Hosted by the Institute for Digital Forestry | Digital Forestry online platform for big geospatial data management and analysis, Jinha Jung, Assistant Professor of Civil Engineering and Jarrod Doucette, Director of Ag Data Services, Purdue University

To view past presentations, check out the Data Driven Agriculture playlist on Purdue Agriculture’s YouTube channel.

Data Driven Posts

Close up photo of soybean plant leaf, stem, and flower bunch

Advancements in genomic research reveal alternative transcription initiation sites in thousands of soybean genes

In 2010, Jianxin Ma, a professor of agronomy, and his collaborators built the first reference...

in Martell forest, Morgan furze rests her hand on a tree, lines of trunks and green leaves fill the background

Journey along the sugar highway with the new tree physiology lab at Purdue

Hold a leaf up to the light, and the branching network of veins stands out against the thinner,...

Scientific secrets to the perfect pumpkin

Pumpkins gain national spotlight every October. And, every year, Indiana pumpkin pickers trudge...

Purdue-led TOMI project receives $3.5M grant to turn a decade of data into new tools and strategies for tomato farmers

Indiana ranks third in the nation for tomato production. Lori Hoagland, a professor in Purdue...

Purdue research team uses a computer on top of a drone to gather data

Purdue researchers acquire and analyze data through AI network that predicts maize yield

Artificial intelligence (AI) is the buzz phrase of 2024. Though far from that cultural spotlight,...

Siddhartho Paul and his students use a RTK GPS in a soybean field to get precise location information

Satellites and soils: NIFA and AgSEED grants fund remote sensing data collection and machine-learning models to predict soil properties at farm-to-landscape scales

The few inches of soil you pick up on the tip of your shovel are part of a much bigger picture....