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., 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

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

  2. Ajayi-Banji, A.A., Rahman, S., Sunoj, S., and 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.

  3. Pandiselvam, R., Manikantan, S., Sunoj, S., Sreejith, S., and 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.

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

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

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

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

  8. Subhashree, S.N., Sunoj, S., Xue, J., and 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.

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

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

  11. Sunoj, S., Igathinathane, C., and 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., and 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.

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