| Machine learning in agriculture: A review KG Liakos, P Busato, D Moshou, S Pearson, D Bochtis Sensors 18 (8), 2674, 2018 | 2331 | 2018 |
| Agricultural robotics: the future of robotic agriculture T Duckett, S Pearson, S Blackmore, B Grieve, WH Chen, G Cielniak, ... arXiv preprint arXiv:1806.06762, 2018 | 324 | 2018 |
| Robotics and labour in agriculture. A context consideration V Marinoudi, CG Sørensen, S Pearson, D Bochtis Biosystems Engineering 184, 111-121, 2019 | 235 | 2019 |
| Are distributed ledger technologies the panacea for food traceability? S Pearson, D May, G Leontidis, M Swainson, S Brewer, L Bidaut, JG Frey, ... Global food security 20, 145-149, 2019 | 208 | 2019 |
| Substantial UV-B-mediated induction of essential oils in sweet basil (Ocimum basilicum L.) CB Johnson, J Kirby, G Naxakis, S Pearson Phytochemistry 51 (4), 507-510, 1999 | 207 | 1999 |
| Development of real-time PCR (TaqMan®) assays for the detection and quantification of Botrytis cinerea in planta MB Suarez, K Walsh, N Boonham, T O’Neill, S Pearson, I Barker Plant Physiology and Biochemistry 43 (9), 890-899, 2005 | 160 | 2005 |
| Agricultural workforce crisis in light of the COVID-19 pandemic D Bochtis, L Benos, M Lampridi, V Marinoudi, S Pearson, CG Sørensen Sustainability 12 (19), 8212, 2020 | 122 | 2020 |
| Radiation transmission and fluorescence of nine greenhouse cladding materials S Pearson, AE Wheldon, P Hadley Journal of Agricultural Engineering Research 62 (1), 61-69, 1995 | 117 | 1995 |
| Mobile robotics in agricultural operations: A narrative review on planning aspects V Moysiadis, N Tsolakis, D Katikaridis, CG Sørensen, S Pearson, ... Applied Sciences 10 (10), 3453, 2020 | 96 | 2020 |
| A reanalysis of the effects of temperature and irradiance on time to flowering in chrysanthemum (Dendranthema grandiflora) S Pearson, P Hadley, AE Wheldon Journal of horticultural science 68 (1), 89-97, 1993 | 96 | 1993 |
| The Effects of Temperature and Light Integral on the Phases of Photoperiod Sensitivity inPetunia× hybrida SR Adams, S Pearson, P Hadley, WM Patefield Annals of Botany 83 (3), 263-269, 1999 | 94 | 1999 |
| The challenges posed by global broadacre crops in delivering smart agri-robotic solutions: A fundamental rethink is required BD Grieve, T Duckett, M Collison, L Boyd, J West, H Yin, F Arvin, ... Global Food Security 23, 116-124, 2019 | 87 | 2019 |
| Responsible development of autonomous robotics in agriculture DC Rose, J Lyon, A de Boon, M Hanheide, S Pearson Nature Food 2 (5), 306-309, 2021 | 84 | 2021 |
| 3D‐vision based detection, localization, and sizing of broccoli heads in the field K Kusumam, T Krajník, S Pearson, T Duckett, G Cielniak Journal of Field Robotics 34 (8), 1505-1518, 2017 | 84 | 2017 |
| Using deep learning to predict plant growth and yield in greenhouse environments B Alhnaity, S Pearson, G Leontidis, S Kollias International Symposium on Advanced Technologies and Management for …, 2019 | 83 | 2019 |
| The development of solid spectral filters for the regulation of plant growth CJ Van Haeringen, JS West, FJ Davis, A Gilbert, P Hadley, S Pearson, ... Photochemistry and photobiology 67 (4), 407-413, 1998 | 80 | 1998 |
| Height control of poinsettia using photoselective filters SC Clifford, ES Runkle, FA Langton, A Mead, SA Foster, S Pearson, ... HortScience 39 (2), 383-387, 2004 | 79 | 2004 |
| The Effects of Temperature, Photoperiod and Light Integral on the Time to Flowering of Pansy cv. Universal Violet (Viola× wittrockianaGams.) SR Adams, S Pearson, P Hadley Annals of Botany 80 (1), 107-112, 1997 | 73 | 1997 |
| Deep learning based prediction on greenhouse crop yield combined TCN and RNN L Gong, M Yu, S Jiang, V Cutsuridis, S Pearson Sensors 21 (13), 4537, 2021 | 72 | 2021 |
| A model of the effects of temperature on the growth and development of cauliflower (Brassica oleracea L. botrytis) S Pearson, P Hadley, AE Wheldon Scientia Horticulturae 59 (2), 91-106, 1994 | 65 | 1994 |
