| Precision agriculture technologies positively contributing to GHG emissions mitigation, farm productivity and economics A Balafoutis, B Beck, S Fountas, J Vangeyte, T Van der Wal, I Soto, ... Sustainability 9 (8), 1339, 2017 | 578 | 2017 |
| Conceptual model of a future farm management information system CG Sørensen, S Fountas, E Nash, L Pesonen, D Bochtis, SM Pedersen, ... Computers and electronics in agriculture 72 (1), 37-47, 2010 | 457 | 2010 |
| Farm management information systems: Current situation and future perspectives S Fountas, G Carli, CG Sørensen, Z Tsiropoulos, C Cavalaris, ... Computers and electronics in Agriculture 115, 40-50, 2015 | 430 | 2015 |
| Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers AP Barnes, I Soto, V Eory, B Beck, A Balafoutis, B Sánchez, J Vangeyte, ... Land use policy 80, 163-174, 2019 | 406 | 2019 |
| The analysis of spatial and temporal trends in yield map data over six years S Blackmore, RJ Godwin, S Fountas Biosystems engineering 84 (4), 455-466, 2003 | 354 | 2003 |
| Agricultural robots—system analysis and economic feasibility SM Pedersen, S Fountas, H Have, BS Blackmore Precision agriculture 7, 295-308, 2006 | 314 | 2006 |
| The role of communication and co-operation in the adoption of precision farming T Kutter, S Tiemann, R Siebert, S Fountas Precision Agriculture 12, 2-17, 2011 | 308 | 2011 |
| A model of decision-making and information flows for information-intensive agriculture S Fountas, D Wulfsohn, BS Blackmore, HL Jacobsen, SM Pedersen Agricultural Systems 87 (2), 192-210, 2006 | 293 | 2006 |
| Agricultural robotics for field operations S Fountas, N Mylonas, I Malounas, E Rodias, C Hellmann Santos, ... Sensors 20 (9), 2672, 2020 | 277 | 2020 |
| Towards weeds identification assistance through transfer learning B Espejo-Garcia, N Mylonas, L Athanasakos, S Fountas, I Vasilakoglou Computers and Electronics in Agriculture 171, 105306, 2020 | 220 | 2020 |
| Farmer experience with precision agriculture in Denmark and the US Eastern Corn Belt S Fountas, S Blackmore, D Ess, S Hawkins, G Blumhoff, ... Precision Agriculture 6, 121-141, 2005 | 212 | 2005 |
| Yield prediction in apple orchards based on image processing AD Aggelopoulou, D Bochtis, S Fountas, KC Swain, TA Gemtos, ... Precision Agriculture 12, 448-456, 2011 | 208 | 2011 |
| Farm machinery management information system S Fountas, CG Sorensen, Z Tsiropoulos, C Cavalaris, V Liakos, T Gemtos Computers and electronics in agriculture 110, 131-138, 2015 | 161 | 2015 |
| Management zones delineation using fuzzy clustering techniques in grapevines A Tagarakis, V Liakos, S Fountas, S Koundouras, TA Gemtos Precision Agriculture 14, 18-39, 2013 | 152 | 2013 |
| Smart farming technologies–description, taxonomy and economic impact AT Balafoutis, B Beck, S Fountas, Z Tsiropoulos, J Vangeyte, ... Precision agriculture: Technology and economic perspectives, 21-77, 2017 | 142 | 2017 |
| Influencing incentives for precision agricultural technologies within European arable farming systems AP Barnes, I Soto, V Eory, B Beck, AT Balafoutis, B Sánchez, J Vangeyte, ... Environmental science & policy 93, 66-74, 2019 | 132 | 2019 |
| The future of digital agriculture: technologies and opportunities S Fountas, B Espejo-García, A Kasimati, N Mylonas, N Darra IT professional 22 (1), 24-28, 2020 | 126 | 2020 |
| Big data for weed control and crop protection FK Van Evert, S Fountas, D Jakovetic, V Crnojevic, I Travlos, ... Weed Research 57 (4), 218-233, 2017 | 124 | 2017 |
| Spatial variation in yield and quality in a small apple orchard KD Aggelopoulou, D Wulfsohn, S Fountas, TA Gemtos, GD Nanos, ... Precision agriculture 11, 538-556, 2010 | 124 | 2010 |
| Smart farming technology trends: economic and environmental effects, labor impact, and adoption readiness AT Balafoutis, FKV Evert, S Fountas Agronomy 10 (5), 743, 2020 | 122 | 2020 |
B. Simon BlackmoreProfessor在 harper-adams.ac.uk 的电子邮件经过验证
