Spyros Fountas
Cited by
Cited by
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
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
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
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
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
Agricultural robots—system analysis and economic feasibility
SM Pedersen, S Fountas, H Have, BS Blackmore
Precision agriculture 7, 295-308, 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
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
Agricultural robotics for field operations
S Fountas, N Mylonas, I Malounas, E Rodias, C Hellmann Santos, ...
Sensors 20 (9), 2672, 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
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
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
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
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
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
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
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
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
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
Adoption and perspectives of precision farming in Denmark
SM Pedersen, S Fountas, BS Blackmore, M Gylling, JL Pedersen
Acta Agriculturae Scandinavica, Section B-Soil & Plant Science 54 (1), 2-8, 2004
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