Assistant Professor, School of Integrative Plant Science Soil and Crop Sciences Section
Louis Longchamps is an Assistant Professor of Digital Agronomy in the School of Integrative Plant Sciences’ Soil & Crop Sciences Section.
Longchamps previously worked for Agriculture and Agri-Food Canada, where his research focused on the optimization of nitrogen management using remote sensing, and reduction in nitrous oxide emissions by variable rate nitrogen management. He was also co-leader of a Living Laboratory co-creating solutions with farmers to reduce the environmental impacts of agriculture on the St. Lawrence River’s ecosystems.
He earned his PhD at Laval University where his thesis research focused on “Spatial structure of weed populations in corn fields and measure of the potential for site-specific weed management.”He followed that with postdoctoral work in the Department of Soil and Crop Sciences, Colorado State University.
Farm data management
Farmer-centric on-farm experimentation
My research involves the development of precision agriculture using soil and crop sensing to improve input use efficiency in field crops.
I am also conducting interviews and surveys to assess the current state of On-Farm Experimentation in NY State, as well as the needs in terms of digital technologies to enhance profitability and environmental stewardship.
Outreach and Extension Focus
My objective is to develop an intertwined research and extension program on digital agronomy to co-create solutions with farmers and their partners for collecting, organizing, curating, and using their data and improve decision making on the farm in terms of profitability and environmental stewardship.
I am also engaging with farmers to expand their on-going on-farm experimentation process with the digital agriculture toolbox (e.g., collecting contextualizing data, pooling data from multiple farms, and using artificial intelligence), and enhance the return of their R&D investment.
Selected journal articles
- Lacoste, M., Cook, S., McNee, M., Gale, D., Ingram, J., Bellon-Maurel, V., MacMillan, T., Sylvester-Bradley, R., Kindred, D., Bramley, R., Tremblay, N., Longchamps, L., Thompson, L., Ruiz, J., García, F.O., Maxwell, B., Griffin, T., Oberthür, T., Huyghe, C., Zhang, W., McNamara, J., and Hall, A., 2021. On-Farm Experimentation to transform global agriculture. Nature Food, 2(12)
- Dahal, S., Phillippi, E., Longchamps, L., Khosla, R. and Andales, A., 2020. Variable rate nitrogen and water management for irrigated maize in the Western US. Agronomy, 10(10), p.1533.
- Cordero, E., Longchamps, L., Khosla, R. and Sacco, D., 2019. Spatial management strategies for nitrogen in maize production based on soil and crop data. Science of The Total Environment, 697, p.133854.
- Siegfried, J., Longchamps, L. and Khosla, R., 2019. Multispectral satellite imagery to quantify in-field soil moisture variability. Journal of Soil and Water Conservation, 74(1), pp.33-40.
- De Lara, A., Khosla, R. and Longchamps, L., 2018. Characterizing spatial variability in soil water content for precision irrigation management. Agronomy, 8(5), p.59.
- Longchamps, L., Panneton, B., Reich, R., Simard, M.J. and Leroux, G.D., 2016. Spatial pattern of weeds based on multispecies infestation maps created by imagery. Weed Science, 64(3), pp.474-485.
- Moshia, M.E., Khosla, R., Longchamps, L., Reich, R., Davis, J.G. and Westfall, D.G., 2014. Precision manure management across site‐specific management zones: Grain yield and economic analysis. Agronomy Journal, 106(6), pp.2146-2156.
- Longchamps, L. and Khosla, R., 2014. Early detection of nitrogen variability in maize using fluorescence. Agronomy Journal, 106(2), pp.511-518.
- Longchamps, L., Panneton, B., Simard, M.J. and Leroux, G.D., 2014. An imagery-based weed cover threshold established using expert knowledge. Weed science, 62(1), pp.177-185.
1112 Bradfield Hall
Ithaca, NY 14853
ll928 [at] cornell.edu
Louis in the news
Academic focus: I research how precision agriculture, on-farm experimentation, data science, and soil, crop and environment sensing can improve the way we manage our crops — to the benefit of farmers and the environment. Research summary: I did...
- Cornell Institute for Digital Agriculture
- School of Integrative Plant Science
- Soil and Crop Sciences Section