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 2024 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.

September 19, 2024 | Dr. Bedrich Benes, Professor of Computer Science & Associate Department Head, Purdue University | Hosted by the Institute for Digital Forestry| Generative AI for Digital Twin Reconstruction
September 26, 2024 | Dr. Jian Jin, Associate Professor, Agricultural & Biological Engineering, Purdue University | Hosted by Institute for Digital and Advanced Agricultural Systems | Purdue's Handheld Leaf Scanners for Accurate and On-The-Spot Crop Diagnosing

October 3, 2024 | Dr. Tommy Butts, Clinical Assistant Professor, Site-Specific Weed Management, Botany & plant Pathology, Purdue University | Hosted by Plant Sciences | Integrating data-driven tools and novel technologies for targeted weed management
October 15, 2024 | Dr. Jan Stejskal, Department of Forest Genetics and Physiology, Czech University of Life Sciences Prague | Hosted by the Institute for Digital Forestry | Forestry Reimagined: The Impact of High-Throughput Phenotyping with a Focus on Hyperspectral Reflectance
October 17, 2024 | Dr. Sidd Paul, Assistant Professor Geospatial Science, Agronomy, Purdue University | Hosted by Plant Sciences | Enhancing soil and agroecosystem sustainability under climate change using geoinformatics
October 24 | Sr. Jinha Jung, Associate Professor of Civil Engineering; Dr. Minyoung Jung, Postdoctoral Researcher in Geomatics; Ben Hancock, Senior Web Developer, Agricultural & Biological Engineering, Purdue University | Hosted by theInsittute for Digital Forestry | Data to Science (D2S) - Open Source Online Platform for Geospatial Data Management
October 31, 2024 | Ethan Belair, Natural Climate Solutions Forester, The Nature Conservancy | Hosted by the Institute for Digital Forestry | Climate-Smart Forestry at the Nature Conservancy: Quantifying and Enabling Global Forests' Ability to Mitigate Climate Change
November 7, 2024 | Dr. Phil Townsend, Professor of Forest & Wildlife Ecology, University of Wisconsin | Hosted by the Institute for Digital Forestry | TBD
December 5, 2024 | Tom Kronewitter, Senior Multimedia Designer, Agricultural Communications, Purdue University | Hosted by the Institute for Digital and Advanced Agricultural Systems | Exploring Plant Phenotyping with Virtual Reality

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....