| Application of machine learning algorithms in plant breeding: predicting yield from hyperspectral reflectance in soybean M Yoosefzadeh-Najafabadi, HJ Earl, D Tulpan, J Sulik, M Eskandari Frontiers in plant science 11, 624273, 2021 | 192 | 2021 |
| Spectral considerations for modeling yield of canola JJ Sulik, DS Long Remote Sensing of Environment 184, 161-174, 2016 | 170 | 2016 |
| Consumer responses towards home energy financial incentives: A survey-based study T Zhao, L Bell, MW Horner, J Sulik, J Zhang Energy Policy 47, 291-297, 2012 | 86 | 2012 |
| Spectral indices for yellow canola flowers JJ Sulik, DS Long International journal of remote sensing 36 (10), 2751-2765, 2015 | 84 | 2015 |
| Feature extraction for Darfur: Geospatial applications in the documentation of human rights abuses JJ Sulik, S Edwards International Journal of Remote Sensing 31 (10), 2521-2533, 2010 | 44 | 2010 |
| A geographic approach to sectoral carbon inventory: Examining the balance between consumption-based emissions and land-use carbon sequestration in Florida T Zhao, MW Horner, J Sulik The New Geographies of Energy, 51-62, 2013 | 25 | 2013 |
| High accuracy direct georeferencing of the altum multi-spectral uav camera and its application to high throughput plant phenotyping JJ Hutton, G Lipa, D Baustian, J Sulik, RW Bruce The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 20 | 2020 |
| Classification of soybean pubescence from multispectral aerial imagery RW Bruce, I Rajcan, J Sulik Plant Phenomics, 2021 | 10 | 2021 |
| A workflow for extracting plot-level biophysical indicators from aerially acquired multispectral imagery M Wallhead, H Zhu, J Sulik, W Stump Plant Health Progress 18 (2), 95-96, 2017 | 9 | 2017 |
| Automated detection of phenological transitions for yellow flowering plants such as Brassica oilseeds JJ Sulik, DS Long Agrosystems, Geosciences & Environment 3 (1), e20125, 2020 | 8 | 2020 |
| Potential farm-level economic impact of incorporating environmental costs into nitrogen decision making: A case study in Canadian corn production K Banger, J Nasielski, K Janovicek, J Sulik, B Deen Frontiers in Sustainable Food Systems 4, 96, 2020 | 7 | 2020 |
| Plot extraction from aerial imagery: A precision agriculture approach R Bruce, J Sulik The Plant Phenome Journal 3 (1), 2020 | 7 | 2020 |
| Delta yield–based optimal nitrogen rate estimates for corn are often economically sound K Janovicek, K Banger, J Sulik, J Nasielski, B Deen Agronomy Journal 113 (2), 1961-1973, 2021 | 6 | 2021 |
| Encoding dependence in Bayesian causal networks JJ Sulik, NK Newlands, DS Long Frontiers in Environmental Science 4, 84, 2017 | 5 | 2017 |
| Widening global variability in grassland biomass since the 1980s AS MacDougall, E Esch, Q Chen, O Carroll, C Bonner, T Ohlert, M Siewert, ... Nature ecology & evolution 8 (10), 1877-1888, 2024 | 4 | 2024 |
| Comparing Random Forest to Bayesian Networks as nitrogen management decision support systems J Sulik, K Banger, K Janovicek, J Nasielski, B Deen Agronomy Journal 115 (3), 1431-1446, 2023 | 3 | 2023 |
| Hyperspectral time series datasets of maize during the grain filling period V Craig, H Earl, J Sulik, EA Lee BMC Research Notes 15 (1), 152, 2022 | 3 | 2022 |
| Sub-national analysis of Darfur: Examining the role of landscape on conflict incidence J Sulik The Florida State University, 2011 | 2 | 2011 |
| Effect of soil sample handling and storage on inorganic nitrogen determination: Implications for the presidedress nitrate test K Janovicek, H Wang, I McDonald, B Rosser, J Lauzon, J Sulik, E Susko, ... Soil Science Society of America Journal, 2024 | 1 | 2024 |
| Estimating Fusarium head blight severity in winter wheat using deep learning and a spectral index R McConachie, C Belot, M Serajazari, H Booker, J Sulik The Plant Phenome Journal 7 (1), e20103, 2024 | | 2024 |
