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.
Contact us via LinkedInPublications
A novel framework for evaluating farmer resilience: Methodological advances and theoretical foundations
Moller, K., Nejadhashemi, A.P., Tirgari, M., Junior, N.V., Carcedo, A.J.P., Ciampitti, I., Prasad, P.V.V., Diallo, A.
Assessing in-season N response and recovery of maize from mild N stress
Bosche, L., Gomez, F., Maddonni, G., Hefley, T., Prasad, P.V.V., Van De Woestyne, B., Ciampitti, I.
Beyond NUE: A focus on true nitrogen gains in cereals
Fernandez, J.A., Ciampitti, I.A.
Regional drivers of soybean farmers’ yield, seed protein, and oil concentration
Pereyra, V.M., Hernandez, C., Hefley, T., Sharda, A., Prasad, P.V.V., Puntel, L., Balboa, G.R., Moseley, D., Irby, J.T., Francisco, E., Reis, A.F.B., Prestholt, A., McDanel, J., Carroll, M., Casteel, S.N., Pearson, R., Pristolas, J., Singh, M.P., Kovács, P., Ostlie, M.H., Fulton, J., Kyveryga, P., Ciampitti, I.A.
Comparing continuous-corn and soybean-corn rotation cropping systems in the U.S. central Midwest: Trade-offs among crop yield, nutrient losses, and change in soil organic carbon
Li Z, Guan K, Zhou W, Peng B, Nafziger ED, Grant RF, Jin Z, Tang J, Margenot AJ, Lee D, Bernacchi CJ, DeLucia EH, Ciampitti I, Hu T, Ye L, Till J, Jia M
Relevancy of nitrogen nutrition status in low-density tillered maize crops
Carlos A. Mejía Álvarez, Diego H. Rotili, Franco Espelet, Karina E. D’Andrea, Ignacio A. Ciampitti, Gustavo Á Maddonni
ENSO impacts on maize production: a case study in Argentina
Daian FRANCIA LAURENZO, Adrián CORRENDO, Carlos Manuel HERNANDEZ, Ignacio CIAMPITTI, Octavio CAVIGLIA
ENSO impacts on maize production: a case study in Argentina
FRANCIA LAURENZO D, CORRENDO A, HERNANDEZ CM, CIAMPITTI I, CAVIGLIA O
Spatiotemporal variability of nitrogen nutrition index in potato fields: A UAV-based machine learning approach using a Bayesian critical nitrogen dilution curve
Canicattì M, Peng J, Ciampitti I, Vallone M, Cammarano D
Influence of elevated temperature on the nutritional profile of Chickpea (Cicer arietinum L.) Seeds
Uday Chand Jha, Prafull Salvi, Marilyn Warburton, Harsh Nayyar, Sadiah Shafi, Ignacio A. Ciampitti, Ashis Ranjan Udgata, Kadambot H. M. Siddique, P. V. Vara Prasad
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