Our Research

Exploring the intersection of digital technology and agricultural science to develop innovative solutions for sustainable crop production.

Research Areas

Agricultural Data Analysis

Leveraging big data approaches to analyze field performance data, weather patterns, and crop responses to various management practices. We develop predictive models and decision support tools to help optimize agricultural operations.

Crop Management Systems

Investigating innovative crop management strategies that enhance yield, quality, and sustainability. Our research focuses on optimizing inputs and management practices through a combination of traditional field research and digital agriculture approaches.

Computer Vision in Agriculture

Using image recognition and processing techniques to monitor crop health, detect diseases, and measure plant growth parameters. Our computer vision research aims to automate the collection of plant phenotypic data and enable early detection of stress conditions.

Research Collaboration

Interested in collaborating on research projects or learning more about our work? We welcome partnerships with academic institutions, industry, and government agencies.

Publications

Nitrogen nutrition index as an in-season N diagnostic method for maize yield response to N fertilization

Leonardo Bosche, Federico Gomez, Francisco Palmero, Aidan Kerns, Trevor Hefley, Curtis Ransom, PV Vara Prasad, Bradley Van De Woestyne, Ignacio Ciampitti

Field Crops Research2025DOI: https://doi.org/10.1016/j.fcr.2025.109941

A global dataset on mungbean for managing seed yield and quality

Natalia da Silva Volpato, Federico M Gomez, Víctor D Giménez, Ignacio A Ciampitti

Scientific Data2025DOI: https://doi.org/10.1038/s41597-025-05016-6

Spatio-temporal yield variation and precipitation within a field

Emmanuela van Versendaal, Carlos M Hernandez, Peter Kyveryga, Trevor Hefley, Bradley W Van De Woestyne, PV Vara Prasad, Ignacio A Ciampitti

Computers and Electronics in Agriculture2025DOI: https://doi.org/10.1016/j.compag.2025.109996

A digital interactive decision dashboard for crop yield trials

Pedro Cisdeli, Gustavo Nocera Santiago, Carlos Hernandez, Ana Carcedo, PV Vara Prasad, Michael Stamm, Jane Lingenfelser, Ignacio Ciampitti

Computers and Electronics in Agriculture2025DOI: https://doi.org/10.1016/j.compag.2025.110037

Towards site-specific nutrient management strategies: An open database in Senegal

Federico Gomez, Ana Carcedo, Andre Diatta, Pape Djighaly, Latha Nagarajan, Upendra Singh, Zachary Stewart, Shamie Zingore, Kaushik Majumdar, PV Vara Prasad, Ignacio Ciampitti

Science of The Total Environment2025DOI: https://doi.org/10.1016/j.scitotenv.2025.178926

DP202216 maize hybrids shift upper limit of C and N partitioning to grain

Francisco Palmero, Javier A Fernandez, Jeffrey E Habben, Jeffrey R Schussler, Ben Weers, James Bing, Trevor Hefley, PV Vara Prasad, Ignacio A Ciampitti

Frontiers in Plant Science2025DOI: https://doi.org/10.3389/fpls.2025.1459126

Benchmarking sorghum and maize for both yield and economic advantage in the US Great Plains

Federico Gomez, Juan Manuel Sanchis, Víctor Giménez, Jane Lingenfelser, Ana Carcedo, Ignacio Massigoge, PV Vara Prasad, Ignacio Ciampitti

Field Crops Research2025DOI: https://doi.org/10.1016/j.fcr.2025.109769

An in‐silico approach exploring sorghum source: sink balance across sorghum hybrids: How many leaves are enough?

Lucia Marziotte, Ana JP Carcedo, Laura Mayor, PV Vara Prasad, Joaquín A Peraza, Ignacio A Ciampitti

Crop Science2025DOI: https://doi.org/10.1002/csc2.21449

Assessing the influence of environmental drivers on soybean seed yield and nitrogen fixation estimates and uncertainties in the United States

Luiz Felipe Almeida, Adrian A Correndo, Trevor Hefley, Gabriel Hintz, PV Vara Prasad, Mark Licht, Shaun Casteel, Maninder Singh, Seth Naeve, José Bais, Laura Lindsay, Shawn Conley, Jonathan Kleinjan, Péter Kovács, Ignacio A Ciampitti

European Journal of Agronomy2025DOI: https://doi.org/10.1016/j.eja.2024.127428

Soybean yield and seed quality in equidistant versus non‐equidistant plant arrangements under different densities

Emmanuela van Versendaal, Valentina M Pereyra, Trent Irby, Peter Kovacs, Trevor Hefley, PV Vara Prasad, Peter Kyveryga, Bradley W Van De Woestyne, Ignacio A Ciampitti

Crop Science2025DOI: https://doi.org/10.1002/csc2.21364

Climate-adaptative management strategies for soybean production under ENSO scenarios in Southern Brazil: An in-silico analysis of crop failure risk

Gabriel Hintz, Ana Carcedo, Luiz Felipe Almeida, Geomar Corassa, Tiago Horbe, Luan Pott, Raí Schwalbert, Trevor Hefley, PV Vara Prasad, Ignacio Ciampitti

Agricultural Systems2025DOI: https://doi.org/10.1016/j.agsy.2024.104153

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