| Deep learning for image-based weed detection in turfgrass J Yu, SM Sharpe, AW Schumann, NS Boyd European journal of agronomy 104, 78-84, 2019 | 283 | 2019 |
| Weed detection in perennial ryegrass with deep learning convolutional neural network J Yu, AW Schumann, Z Cao, SM Sharpe, NS Boyd Frontiers in plant science 10, 1422, 2019 | 183 | 2019 |
| The effects of depth and fluctuating soil moisture on the emergence of eight annual and six perennial plant species NS Boyd, RC Van Acker Weed Science 51 (5), 725-730, 2003 | 158 | 2003 |
| Effect of seeding rate and planting arrangement on rye cover crop and weed growth NS Boyd, EB Brennan, RF Smith, R Yokota Agronomy Journal 101 (1), 47-51, 2009 | 123 | 2009 |
| Winter cover crop seeding rate and variety affects during eight years of organic vegetables: I. Cover crop biomass production EB Brennan, NS Boyd Agronomy Journal 104 (3), 684-698, 2012 | 114 | 2012 |
| Stale seedbed techniques for organic vegetable production NS Boyd, EB Brennan, SA Fennimore Weed Technology 20 (4), 1052-1057, 2006 | 114 | 2006 |
| Seed germination of common weed species as affected by oxygen concentration, light, and osmotic potential N Boyd, R Van Acker Weed Science 52 (4), 589-596, 2004 | 105 | 2004 |
| Relationship between leaf area index and ground cover in potato under different management conditions NS Boyd, R Gordon, RC Martin Potato research 45 (2), 117-129, 2002 | 90 | 2002 |
| Detection of broadleaf weeds growing in turfgrass with convolutional neural networks J Yu, SM Sharpe, AW Schumann, NS Boyd Pest Management Science 75 (8), 2211-2218, 2019 | 89 | 2019 |
| Seeding rate and planting arrangement effects on growth and weed suppression of a legume‐oat cover crop for organic vegetable systems EB Brennan, NS Boyd, RF Smith, P Foster Agronomy journal 101 (4), 979-988, 2009 | 84 | 2009 |
| Goosegrass detection in strawberry and tomato using a convolutional neural network SM Sharpe, AW Schumann, NS Boyd Scientific Reports 10 (1), 9548, 2020 | 83 | 2020 |
| Burning nettle, common purslane, and rye response to a clove oil herbicide NS Boyd, EB Brennan Weed Technology 20 (3), 646-650, 2006 | 76 | 2006 |
| Impact of fumigants on non-target soil microorganisms: a review A Castellano-Hinojosa, NS Boyd, SL Strauss Journal of hazardous materials 427, 128149, 2022 | 72 | 2022 |
| Winter cover crop seeding rate and variety effects during eight years of organic vegetables: III. Cover crop residue quality and nitrogen mineralization EB Brennan, NS Boyd, RF Smith Agronomy Journal 105 (1), 171-182, 2013 | 63 | 2013 |
| Vegetation detection and discrimination within vegetable plasticulture row-middles using a convolutional neural network SM Sharpe, AW Schumann, J Yu, NS Boyd Precision Agriculture 21 (2), 264-277, 2020 | 62 | 2020 |
| Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems GRY Coleman, A Bender, K Hu, SM Sharpe, AW Schumann, Z Wang, ... Weed Technology 36 (6), 741-757, 2022 | 59 | 2022 |
| Comparison of rye and legume–rye cover crop mixtures for vegetable production in California EB Brennan, NS Boyd, RF Smith, P Foster Agronomy Journal 103 (2), 449-463, 2011 | 59 | 2011 |
| Growing degree-day models for predicting lowbush blueberry (Vaccinium angustifolium Ait.) ramet emergence, tip dieback, and flowering in Nova Scotia, Canada SN White, NS Boyd, RC Van Acker HortScience 47 (8), 1014-1021, 2012 | 55 | 2012 |
| Detection of Carolina geranium (Geranium carolinianum) growing in competition with strawberry using convolutional neural networks SM Sharpe, AW Schumann, NS Boyd Weed Science 67 (2), 239-245, 2019 | 51 | 2019 |
| Detection of grassy weeds in bermudagrass with deep convolutional neural networks J Yu, AW Schumann, SM Sharpe, X Li, NS Boyd Weed Science 68 (5), 545-552, 2020 | 50 | 2020 |
