Sunoj Shajahan

Education

• Ph.D., Agricultural and Biosystems Engineering, North Dakota State University, USA, 2019
• M. Tech., Agricultural Processing and Food Process Engineering, Tamil Nadu Agricultural University, India, 2014
• B. Tech., Food Process Engineering, Tamil Nadu Agricultural University, India, 2012

Academic Positions

• Assistant Professor, Agricultural and Biological Engineering, University of Illinois Urbana-Champaign, (2023-present)
• Research Associate, Nutrient Management Spear Program, Cornell University, Ithaca, NY, (2022-2023)
• Postdoctoral Associate, Nutrient Management Spear Program, Cornell University, Ithaca, NY, (2019-2022)
• Graduate Research Assistant, Agricultural and Biosystems Engineering, North Dakota State University, (2015-2019)

Research Interests

• Precision agriculture
• Remote sensing
• Geospatial computation
• Computer vision

Chapters in Books

• Subhashree, S. N., Sunoj, S. , Hassanijalilian, O., & Igathinathane, C. (2020). Decoding common machine learning methods: agricultural application case studies using open source software. In Applied Intelligent Decision Making in Machine Learning (pp. 21-52). CRC Press.

Selected Articles in Journals

• Sunoj, S. , Yeh, B., Marcaida III, M., Longchamps, L., van Aardt, J., and Ketterings, Q.M. 2023. Maize grain and silage yield prediction of commercial fields using high-resolution UAS imagery. Biosystems Engineering, 235: 137-149.
• Burglewski, N.M., Ketterings, Q.M., Sunoj, S. , and van Aardt, J. 2023. A comparison of traditional and machine learning corn yield models using hyperspectral UAS and Landsat imagery. Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX, 12519: 80-88.
• Sunoj, S. , Cho, J., Guinness, J., van Aardt, J., Czymmek, K., and Ketterings, Q.M. 2021. Corn grain yield prediction and mapping from unmanned aerial system (UAS) multispectral imagery. Remote Sensing, 13: 3948.
• Berlingeri, J.M., Lawrence, J.R., Sunoj, S. , Czymmek, K.J., and Ketterings, Q.M. 2021. Nitrogen and phosphorus balances vary at the whole-farm, field, and within-field scales. Frontiers in Sustainability, section Sustainable Supply Chain Management, 2: 747883.
• Sunoj, S., Hammed, A., Igathinathane, C., Eshkhabilov, S., and Simsek, H. 2021. Identification, quantification, and growth profiling of eight different microalgae species using image analysis. Algal Research., 60: 102487.
• Sunoj, S. , McRoberts, K.C., Benson, M., and Ketterings, Q.M. 2021. Digital image analysis estimates of biomass, carbon, and nitrogen uptake of winter cereal cover crops. Computers and Electronics in Agriculture, 184: 106093.
• Cho, J., Guinness, J., Kharel, T.P., Sunoj, S. , Kharel, D., Oware, E., Aardt, J.V., and Ketterings, Q.M. 2021. Spatial estimation methods for mapping corn yield monitor data. Precision Agriculture, 1-20.
• Sunoj, S. , Kharel, D., Kharel, T.P.., Cho, J., Czymmek, K., and Ketterings, Q.M. 2021. Impact of headland area on whole field and farm corn silage and grain yield. Agronomy Journal, 113: 147-158.

Magazine Articles

• Single-Strip Spatial Evaluation Approach for Easier, More Meaningful On-Farm Research
• Technology makes on-farm research easier: Single-strip spatial evaluation approach (SSEA)
• Remote sensing to estimate the yield of field crops. The Manager.

Professional Societies

• American Society of Agricultural and Biological Engineering
• American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
• International Society of Precision Agriculture
• Indian Society of Agricultural Engineers

Honors

• ASABE Graduate Student Research Award (2016)
• Superior Paper Award, ASABE (2017)
• ASABE Graduate Student Research Award (2017)

Improvement Activities

• Collins Scholar, The Grainger College of Eng., University of Illinois Urbana-Champaign, 2023-2024.
• Grainger Engineers Accelerating Research (GEAR) Scholar, The Grainger College of Engineering, Univ. of Illinois Urbana-Champaign, 2023-2024.

Recent Courses Taught

• ETMA 467 - Precision Agric Technology