For the updated list of my publications including my Ph.D. dissertation, extension articles, and popular press articles please check my GoogleScholar profile:

Journal publications

  1. Sunoj, S., Igathinathane, C., Saliendra, N., Hendrickson, J., Archer, D., & Liebig, M. 2025. PhenoCam guidelines for phenology measurement and analysis in agricultural cropping environment: A case study of soybean.. Remote Sensing, 17(4), 724.

  2. Ajayi‐Banji, A. A., Cihacek, L., Rahman, S., Sunoj, S., & Igathinathane, C. (2025). Mineral nitrogen availability from co‐digested biodigester products as affected by feedstock pretreatment. Soil Science Society of America Journal, 89(1), e70005.

  3. Subhashree, S. N., Marcaida III, M., Sunoj, S., Kindred, D. R., Thompson, L. J., & Ketterings, Q. M. (2024). Exploring the Use of High-Resolution Satellite Images to Estimate Corn Silage Yield Within Field. Remote Sensing, 16(21), 4081.

  4. Sunoj, S., Polson, B., Vaish, I., Marcaida III, M., Longchamps, L., van Aardt, J., & Ketterings, Q. M. (2024). Corn grain and silage yield class prediction for zone delineation using high-resolution satellite imagery. Agricultural Systems, 218, 104009.

  5. Sunoj, S., Yeh, B., Marcaida III, M., Longchamps, L., van Aardt, J., & Ketterings, Q. M. (2023). Maize grain and silage yield prediction of commercial fields using high-resolution UAS imagery. Biosystems Engineering, 235, 137-149.

  6. Sunoj, S., Hammed, A., Igathinathane, C., Eshkabilov, S., & Simsek, H. (2021). Identification, quantification, and growth profiling of eight different microalgae species using image analysis. Algal Research, 60, 102487.

  7. Sunoj, S., Cho, J., Guinness, J., van Aardt, J., Czymmek, K., & Ketterings, Q.M. 2021 Corn grain yield prediction and mapping from unmanned aerial system (UAS) multispectral imagery. Remote Sensing, 13: 3948.

  8. Berlingeri, J.M., Lawrence, J.R., Sunoj, S., Czymmek, K.J., & 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.

  9. Sunoj, S., Hammed, A., Igathinathane, C., Eshkhabilov, S., & Simsek, H. 2021. Identification, quantification, and growth profiling of eight different microalgae species using image analysis. Algal Research, 60: 102487.

  10. Sunoj, S., McRoberts, K.C., Benson, M., & 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.

  11. Cho, J., Guinness, J., Kharel, T.P., Sunoj, S., Kharel, D., Oware, E., Aardt, J.V., & Ketterings, Q.M. 2021. Spatial estimation methods for mapping corn yield monitor data. Precision Agriculture, 1-20.

  12. Sunoj, S., Kharel, D., Kharel, T.P., Cho, J., Czymmek, K., & Ketterings, Q.M. 2021. Impact of headland area on whole field and farm corn silage and grain yield. Agronomy Journal, 113: 147-158.

  13. \item Ajayi-Banji, A.A.,Sunoj, S., Igathinathane, C., & Rahman, S. 2021. Kinetic studies of alkaline-pretreated corn stover co-digested with upset dairy manure under solid-state. Renewable Energy. 161, 2198-2207.

  14. Ajayi-Banji, A.A., Rahman, S., Sunoj, S., & Igathinathane, C. 2020. Impact of corn stover particle size and C/N ratio on reactor performance in solid-state anaerobic co-digestion with dairy manure. Journal of the Air \& Waste Management Association, 70(4): 436-454.

  15. Pandiselvam, R., Manikantan, S., Sunoj, S., Sreejith, S., & Beegum, S., 2019. Modeling of coconut milk residue incorporated rice‐corn extrudates properties using multiple linear regression and artificial neural network. Journal of Food Process Engineering, 42(2): e12981.

  16. Sunoj, S., Igathinathane, C., N. Saliendra, J. Hendrickson, & Archer, D. 2018. Color calibration of digital images for agricultural and other applications. ISPRS Journal of Photogrammetry and Remote Sensing, 146: 221-234.

  17. Sunoj, S., Subhashree S N., Dharani, S., Igathinathane, C., Franco, J., Mallinger, R.E. Prasifka, J.R., & Archer, D. 2018. Sunflower floral dimension measurements using digital image processing. Computers and Electronics in Agriculture, 151: 403-415.

  18. Sunoj, S., Igathinathane, C., & Jenicka, S. 2018. Cashews whole and splits classification using a novel machine vision approach. Postharvest Biology and Technology, 138: 19-30.

  19. Sunoj, S., Sivarajan, S., Maharlooei, M., Bajwa, S.G., Harmon, J.P., Nowatzki, J.F., & Igathinathane, C. 2017. Identification and counting of soybean aphids from digital images using shape classification. Transactions of the ASABE, 60(5): 1467-1477.

  20. Subhashree, S.N., Sunoj, S., Xue, J., & Bora, G.C. 2017. Quantification of browning in apples using colour and textural features by image analysis. Food Quality and Safety, 1(3): 221-226.

  21. Shidenur, H.T., Mathew, S.M., Sankalpa, K.B., Pandiselvam, R., & Sunoj, S. 2017. Engineering Properties of Jackfruit (Artocarpus heterophyllus L.). Agricultural Engineering Today, 41(1): 56-60.

  22. Pandiselvam, R., Sunoj, S., Manikantan, M.R., Kothakota, A., & Hebbar, K.B. 2016. Application and kinetics of ozone in food preservation. Ozone: Science & Engineering, 39(2): 115-126.

  23. Sunoj, S., Igathinathane, C., & Visvanathan, R. 2016. Nondestructive determination of cocoa bean quality using FT-NIR spectroscopy. Computers and Electronics in Agriculture,124: 234-242.

Book chapters

  1. Subhashree, S.N., Sunoj, S., Hassanijalilian, O., & Igathinathane, C. 2020. Decoding common machine learning methods: Agricultural application case studies using open source software. Applied Intelligent Decision Making in Machine Learning. Taylor \& Francis Group. pp 21-52.