Purdue University
Digital Agriculture&Farming Systems.
Advancing digital agriculture through computer vision, data analysis, and sustainable crop management.
01 — Selected Works
Latest Publications.
Leveraging Large Language Models for Automated Scalable Development of Open Scientific Databases
Nikita Gautam, Doina Caragea, Ignacio Ciampitti, Federico Gomez
2027 · 10.1007/978-3-032-29003-8_2
Assessing robustness and transferability of image‐based semantic segmentation models for major field crops
Gustavo N. Santiago, Pedro Cisdeli, German Mandrini, Mitchell Tuinstra, Ignacio A. Ciampitti
The Plant Phenome Journal
2026 · 10.1002/ppj2.70087
From visual words to vision transformers: Dual approaches to water stress classification in maize
Sumaira Ghazal, Sardar Ali Abbas, Arslan Munir, Ignacio Ciampitti, Waqar S. Qureshi
Smart Agricultural Technology
2026 · 10.1016/j.atech.2026.102519
Spatial assessment of field-scale water use efficiency of an AI-radar guided irrigation system using UAV-derived and OpenET evapotranspiration
Udit Debangshi, Prasad Deshpande, P.V. Vara Prasad, Vaishali Sharda, Susan Metzger, Ignacio A. Ciampitti, Gaurav Jha
Smart Agricultural Technology
2026 · 10.1016/j.atech.2026.102255
Bootstrap multimodel aggregation for estimating optimum nitrogen rates in agricultural crops
Francisco Palmero, Ignacio A. Ciampitti, Trevor J. Hefley
Agronomy Journal
2026 · 10.1002/agj2.70476
02 — In the Press
In the News.
Too Much Nitrogen? Purdue Study Says Corn Growers Can Use Less Without Sacrificing Yields
Hoosier Ag Today
May 29, 2026 · Read ↗
Addressing nitrogen fertilizer uncertainties in corn production
Purdue University - College of Agriculture
May 27, 2026 · Read ↗
Proposed market-based tool could ensure Midwestern corn profits
Purdue University - College of Agriculture
Apr 21, 2026 · Read ↗
Purdue institute powers the future of Indiana, U.S. agriculture through AI, data
Purdue University - College of Agriculture
Apr 14, 2026 · Read ↗
What data says about high-yield corn trends
Farm Progress
Feb 16, 2026 · Read ↗
03 — From the Lab
From the Blog.
Featured · October 20, 2025
From Simulation to Real-World Implementation: Leveraging Crop Models for Agricultural Decisions in Corn
How crop models simulate a virtual field, and how we are running thousands of simulations to support nitrogen decisions in Indiana.
Read article
October 6, 2025
Digital Technologies: Mapping the Future of Corn Production and US Agriculture
An analysis of more than 32,000 U.S. agricultural patents (2014–2024) maps where corn technology innovation is happening.
September 26, 2025
Apple Vision Pro for Agriculture
What an augmented reality headset can already do on the farm, and the custom agricultural app we are building for it.
September 19, 2025
Improving Diagnosis and Tactical N Management in Corn
Using a field hyperspectral sensor to read the spectral fingerprint of corn leaves and diagnose nitrogen status earlier in the season.
September 12, 2025
From Field Observations to Digital Solutions: Understanding Corn Smut
Exposed ear tips in this season's fields led us to corn smut: its biology, symptoms and control, and how 3D reconstruction and AI can help detect it.
September 5, 2025
A Faster Way to Predict Corn Yields Using Ear Images Before Harvest
Using smartphone and depth-camera images of corn ears in the husk to estimate ear size and forecast yield before harvest.
June 27, 2025
Building for Apple Vision Pro: Part 1
Short series documenting Pedro Cisdeli's hands-on journey building ag-tech tools for Apple Vision Pro
May 15, 2025
A New Chapter: Ciampitti Lab Moves to Purdue & Launches a Fresh Website
We’re thrilled to join Purdue University and to unveil our redesigned online home.