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Subject: Precision Agriculture in agricultural equipment

Research Unit: Agricultural Engineering of Athens

e-mail: g.peteinatos@swri.gr
Telephone: +30 210 2611011
External:  

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Όλα Από το 2017  
 Παραθέσεις 923 744
h-index 17 16
 i10-index 27 24

Dr. Gerasimos Peteinatos
Senior Research Scientist

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Metrics overview

 Documents by author    Citations by  310 documents    h-index
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CV

Dr. Gerassimos Peteinatos is working into the research, development and implementation of sensors, sensor systems and actuators in Precision Agriculture. In his first Diploma, he has finished the Agricultural University of Athens (undergraduate and MSc) working mainly on agricultural entomology. He has taken a second undergraduate course in computer sciences at the National Technical University of Athens. He has finished his diploma thesis at the Computing Systems Lab. His pursue to combine agriculture with modern technologies and computer science continued with the PhD titled “Sensor based identification of stress in crops and weeds and utilization of sensors for precision pest management”, which was a cumulative thesis leading to 5 peer-reviewed publications. It was performed at the University of Hohenheim, Faculty of Agricultural Sciences, and specifically in the Herbology group of the Department of Phytomedicine, under the supervision of Prof. Roland Gerhards. He has continued his career as a post Doc at the research group of Weed Science at the University of Hohenheim. In 2021 he worked as a post-Doc resercher at the Center of Automation and Robotics of the Spanish National Research Council under a Juan de la Cierva stipendium. In 2022 he started in his current position working for ELGO in the topic of precision farming and its implementations on agricultural machinery. He has participated in various European research projects as a researcher, principal investigation, and coordinator / activity leader. He has been invited as a chairman, and as invited speaker / keynote speaker in various conferences. He was an associate editor of the Spanish Journal of Agricultural Research and a guest editor at special issues of various journals. He has received various prices during his degree and research career.

Scopus Indexed
  1. Allmendinger A., Spaeth M., Saile M., Peteinatos G.G., Gerhards R. Precision Chemical Weed Management Strategies: A Review and a Design of a New CNN-Based Modular Spot Sprayer 2022 Agronomy 12 7 1620 10.3390/agronomy12071620 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133867618&doi=10.3390%2fagronomy12071620&partnerID=40&md5=186ae281ced11083b17af55ef55e15fb 2-s2.0-85133867618
  2. Gerhards R., Andújar Sanchez D., Hamouz P., Peteinatos G.G., Christensen S., Fernandez-Quintanilla C. Advances in site-specific weed management in agriculture—A review 2022 Weed Research 62 2 123 133 10.1111/wre.12526 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126048516&doi=10.1111%2fwre.12526&partnerID=40&md5=74160e2a689b77890fd30260f5cf98d0 2-s2.0-85126048516
  3. Jackenkroll M., Peteinatos G., Kollenda B., Mink R., Gerhards R. Optimizing precision agricultural operations by standardized cloud-based functions 2021 Spanish Journal of Agricultural Research 19 4 e0212 10.5424/sjar/2021194-17774 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121536865&doi=10.5424%2fsjar%2f2021194-17774&partnerID=40&md5=dd08a52809f477602952413bce77d2c6 2-s2.0-85121536865
  4. Naruhn G.-P., Peteinatos G.G., Butz A.F., Möller K., Gerhards R. Efficacy of various mechanical weeding methods—single and in combination—in terms of different field conditions and weed densities 2021 Agronomy 11 10 2084 10.3390/agronomy11102084 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117750781&doi=10.3390%2fagronomy11102084&partnerID=40&md5=ece836e9cb3944726dc69daa380ab5d4 2-s2.0-85117750781
  5. Machleb J., Peteinatos G.G., Sökefeld M., Gerhards R. Sensor-based intrarow mechanical weed control in sugar beets with motorized finger weeders 2021 Agronomy 11 8 1517 10.3390/agronomy11081517 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111989197&doi=10.3390%2fagronomy11081517&partnerID=40&md5=91811eb0e8869ef87b145380918e0e18 2-s2.0-85111989197
  6. Gerhards R., Späth M., Sökefeld M., Peteinatos G.G., Nabout A., Rueda Ayala V. Automatic adjustment of harrowing intensity in cereals using digital image analysis 2021 Weed Research 61 1 68 77 10.1111/wre.12458 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096708168&doi=10.1111%2fwre.12458&partnerID=40&md5=73cf002d463f110f468299c2e158a84a 2-s2.0-85096708168
  7. Peteinatos G.G., Reichel P., Karouta J., Andújar D., Gerhards R. Weed identification in Maize, sunflower, and potatoes with the aid of convolutional neural networks 2020 Remote Sensing 12 24 4185 1 22 10.3390/rs12244185 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098528059&doi=10.3390%2frs12244185&partnerID=40&md5=e356ff4bf1c62a470b28c0f2e54c394e 2-s2.0-85098528059
  8. Spaeth M., Machleb J., Peteinatos G.G., Saile M., Gerhards R. Smart harrowing-adjusting the treatment intensity based on machine vision to achieve a uniform weed control selectivity under heterogeneous field conditions 2020 Agronomy 10 12 1925 10.3390/agronomy10121925 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100499519&doi=10.3390%2fagronomy10121925&partnerID=40&md5=7563195b5966e07fa70c5c46fcaada2e 2-s2.0-85100499519
  9. Moreno H., Rueda-Ayala V., Ribeiro A., Bengochea-Guevara J., Lopez J., Peteinatos G., Valero C., Andújar D. Evaluation of vineyard cropping systems using on-board rgb-depth perception 2020 Sensors (Switzerland) 20 23 6912 1 14 10.3390/s20236912 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097091794&doi=10.3390%2fs20236912&partnerID=40&md5=48d6130a260d4371f01321837f7ae584 2-s2.0-85097091794
  10. Machleb J., Peteinatos G.G., Kollenda B.L., Andújar D., Gerhards R. Sensor-based mechanical weed control: Present state and prospects 2020 Computers and Electronics in Agriculture 176 105638 10.1016/j.compag.2020.105638 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088630530&doi=10.1016%2fj.compag.2020.105638&partnerID=40&md5=698d95480c22e2da1eff7ea81e4a227d 2-s2.0-85088630530
  11. Travlos I.S., Montull J.M., Kukorelli G., Malidza G., Dogan M.N., Cheimona N., Antonopoulos N., Kanatas P.J., Zannopoulos S., Peteinatos G. Key Aspects on the Biology, Ecology and Impacts of Johnsongrass [Sorghum halepense (L.) Pers] and the Role of Glyphosate and Non-Chemical Alternative Practices for the Management of This Weed in Europe 2019 Agronomy 9 11 717 10.3390/agronomy9110717 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075040155&doi=10.3390%2fagronomy9110717&partnerID=40&md5=27bd2245e57fa7ef6db45952d2a06ede 2-s2.0-85075040155
  12. Linn A.I., Mink R., Peteinatos G.G., Gerhards R. In-field classification of herbicide-resistant Papaver rhoeas and Stellaria media using an imaging sensor of the maximum quantum efficiency of photosystem II 2019 Weed Research 59 5 357 366 10.1111/wre.12374 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069803795&doi=10.1111%2fwre.12374&partnerID=40&md5=0346b8bb9eb756f5146c42066ad84286 2-s2.0-85069803795
  13. Martinez-Guanter J., Ribeiro Á., Peteinatos G.G., Pérez-Ruiz M., Gerhards R., Bengochea-Guevara J.M., Machleb J., Andújar D. Low-cost three-dimensional modeling of crop plants 2019 Sensors (Switzerland) 19 13 2883 10.3390/s19132883 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069267831&doi=10.3390%2fs19132883&partnerID=40&md5=64a468084c6df8cb5c311cd9086d5cfe 2-s2.0-85069267831
  14. Peteinatos G.G., Kollenda B., Wang P., Gerhards R. A new logarithmic sprayer for dose-response studies in the field 2019 Computers and Electronics in Agriculture 157 166 172 10.1016/j.compag.2018.12.017 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059143953&doi=10.1016%2fj.compag.2018.12.017&partnerID=40&md5=22b03cf29ee313b6529a0e8878be0e84 2-s2.0-85059143953
  15. Peteinatos G.G., Sökefeld M., Machleb J., Cambel K., Gerhards R. Identifying the Fusarium spp. Infestation in winter wheat based on RGB imaginary 2019 Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 225 230 10.3920/978-90-8686-888-9_27 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073709223&doi=10.3920%2f978-90-8686-888-9_27&partnerID=40&md5=80dbe9c0c3d3184c7fd0f2d11f40acf5 2-s2.0-85073709223
  16. Sturm D.J., Peteinatos G., Gerhards R. Contribution of allelopathic effects to the overall weed suppression by different cover crops 2018 Weed Research 58 5 331 337 10.1111/wre.12316 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053054094&doi=10.1111%2fwre.12316&partnerID=40&md5=46197b5a60578f8ad7ff828b13590f6b 2-s2.0-85053054094
  17. Schappert A., Messelhäuser M.H., Saile M., Peteinatos G.G., Gerhards R. Weed suppressive ability of cover crop mixtures compared to repeated stubble tillage and glyphosate treatments 2018 Agriculture (Switzerland) 8 9 144; 10.3390/agriculture8090144 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055052393&doi=10.3390%2fagriculture8090144&partnerID=40&md5=fbbb94ee7f7bcbb5e125e237bed36b5b 2-s2.0-85055052393
  18. Kunz C., Weber J.F., Peteinatos G.G., Sökefeld M., Gerhards R. Camera steered mechanical weed control in sugar beet, maize and soybean 2018 Precision Agriculture 19 4 708 720 10.1007/s11119-017-9551-4 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034567720&doi=10.1007%2fs11119-017-9551-4&partnerID=40&md5=9da5bf7416387859a6f83fafb99bbd7b 2-s2.0-85034567720
  19. Zecha C.W., Peteinatos G.G., Link J., Claupein W. Utilisation of ground and airborne optical sensors for nitrogen level identification and yield prediction in wheat 2018 Agriculture (Switzerland) 8 6 79 10.3390/agriculture8060079 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049527289&doi=10.3390%2fagriculture8060079&partnerID=40&md5=61891502654a388531fcb298c7b4c7e8 2-s2.0-85049527289
  20. Mink R., Dutta A., Peteinatos G.G., Sökefeld M., Engels J.J., Hahn M., Gerhards R. Multi-temporal site-specific weed control of Cirsium arvense (L.) scop. and Rumex crispus L. in maize and sugar beet using unmanned aerial vehicle based mapping 2018 Agriculture (Switzerland) 8 5 65 10.3390/agriculture8050065 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048299496&doi=10.3390%2fagriculture8050065&partnerID=40&md5=1903eaa086d9b7f43d0ebd0c4579fe95 2-s2.0-85048299496
  21. Machleb J., Kollenda B.L., Peteinatos G.G., Gerhards R. Adjustment of weed hoeing to narrowly spaced cereals 2018 Agriculture (Switzerland) 8 4 54 10.3390/agriculture8040054 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046403299&doi=10.3390%2fagriculture8040054&partnerID=40&md5=987a31a320dc16e294c49421c32d310b 2-s2.0-85046403299
  22. Wang P., Peteinatos G., Li H., Brändle F., Pfündel E., Drobny H.G., Gerhards R. Rapid monitoring of herbicide-resistant Alopecurus myosuroides Huds. using chlorophyll fluorescence imaging technology 2018 Journal of Plant Diseases and Protection 125 2 187 195 10.1007/s41348-017-0131-7 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044530400&doi=10.1007%2fs41348-017-0131-7&partnerID=40&md5=24b250fd19917c809785fa10587967f4 2-s2.0-85044530400
  23. Kavallieratos N.G., Athanassiou C.G., Peteinatos G.G., Boukouvala M.C., Benelli G. Insecticidal effect and impact of fitness of three diatomaceous earths on different maize hybrids for the eco-friendly control of the invasive stored-product pest Prostephanus truncatus (Horn) 2018 Environmental Science and Pollution Research 25 11 10407 10417 10.1007/s11356-017-9565-5 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85023763386&doi=10.1007%2fs11356-017-9565-5&partnerID=40&md5=42a1da23feba9d65eecadc52b5ebab82 2-s2.0-85023763386
  24. Weber J.F., Kunz C., Peteinatos G.G., Santel H.-J., Gerhards R. Utilization of Chlorophyll Fluorescence Imaging Technology to Detect Plant Injury by Herbicides in Sugar Beet and Soybean 2017 Weed Technology 31 4 523 535 10.1017/wet.2017.22 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029223153&doi=10.1017%2fwet.2017.22&partnerID=40&md5=2c5fc6fe82748952d85f063548893456 2-s2.0-85029223153
  25. Weber J.F., Kunz C., Peteinatos G.G., Zikeli S., Gerhards R. Weed control using conventional tillage, reduced tillage, no-tillage, and cover crops in organic soybean 2017 Agriculture (Switzerland) 7 5 43 10.3390/agriculture7050043 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019155584&doi=10.3390%2fagriculture7050043&partnerID=40&md5=c1fdfb3c64b43e64225c870964356c6d 2-s2.0-85019155584
  26. Sturm D.J., Kunz C., Peteinatos G., Gerhards R. Do cover crop sowing date and fertilization affect field weed suppression? 2017 Plant, Soil and Environment 63 2 82 88 10.17221/1/2017-PSE https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016105713&doi=10.17221%2f1%2f2017-PSE&partnerID=40&md5=db3e53d47bfc8f7734a06c29e11addc8 2-s2.0-85016105713
  27. Wang P., Peteinatos G., Li H., Gerhards R. Rapid in-season detection of herbicide resistant Alopecurus myosuroides using a mobile fluorescence imaging sensor 2016 Crop Protection 89 170 177 10.1016/j.cropro.2016.07.022 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979609897&doi=10.1016%2fj.cropro.2016.07.022&partnerID=40&md5=f19f389998e903e9340125bbf5db3c0b 2-s2.0-84979609897
  28. Kunz C., Sturm D.J., Peteinatos G.G., Gerhards R. Weed Suppression of Living Mulch in Sugar Beets [Unkrautunterdrückung durch Untersaaten in Zuckerrüben] 2016 Gesunde Pflanzen 68 3 145 154 10.1007/s10343-016-0370-8 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976517860&doi=10.1007%2fs10343-016-0370-8&partnerID=40&md5=2059218c47c15f2a084367127e08c6ad 2-s2.0-84976517860
  29. Peteinatos G.G., Korsaeth A., Berge T.W., Gerhards R. Using optical sensors to identify water deprivation, nitrogen shortage, weed presence and fungal infection in wheat 2016 Agriculture (Switzerland) 6 2 24 10.3390/agriculture6020024 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84990878586&doi=10.3390%2fagriculture6020024&partnerID=40&md5=0da6d49f903a5217b9e6ceb8051c8bc9 2-s2.0-84990878586
  30. Rueda-Ayala V., Peteinatos G., Gerhards R., Andújar D. A non-chemical system for onlineweed control 2015 Sensors (Switzerland) 15 4 7691 7707 10.3390/s150407691 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84926378436&doi=10.3390%2fs150407691&partnerID=40&md5=e3523c71c4632316e47fc59d912b7b28 2-s2.0-84926378436
  31. Roeb J., Peteinatos G.G., Gerhards R. Using sensors to assess herbicide stress in sugar beet 2015 Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015 563 570 10.3920/978-90-8686-814-8_70 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947266527&doi=10.3920%2f978-90-8686-814-8_70&partnerID=40&md5=4a4f6b1eca0302672950063622992eec 2-s2.0-84947266527
  32. Peteinatos G.G., Rueda-Ayala V., Gerhards R., Andujar D. Precision harrowing with a flexible tine harrow and an ultrasonic Sensor 2015 Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015 579 586 10.3920/978-90-8686-814-8_72 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947235155&doi=10.3920%2f978-90-8686-814-8_72&partnerID=40&md5=9cf3c52da4b40e0011b354067fef654c 2-s2.0-84947235155
  33. Peteinatos G.G., Weis M., Andújar D., Rueda Ayala V., Gerhards R. Potential use of ground-based sensor technologies for weed detection 2014 Pest Management Science 70 2 190 199 10.1002/ps.3677 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84892476719&doi=10.1002%2fps.3677&partnerID=40&md5=15ff4daa18dd21d73a1f85d296bedc52 2-s2.0-84892476719
  34. Streibig J.C., Rasmussen J., Andújar D., Andreasen C., Berge T.W., Chachalis D., Dittmann T., Gerhards R., Giselsson T.M., Hamouz P., Jaeger-Hansen C., Jensen K., Jørgensen R.N., Keller M., Laursen M., Midtiby H.S., Nielsen J., Müller S., Nordmeyer H., Peteinatos G., Papadopoulos A., Svensgaard J., Weis M., Christensen S. Sensor-based assessment of herbicide effects 2014 Weed Research 54 3 223 233 10.1111/wre.12079 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898778040&doi=10.1111%2fwre.12079&partnerID=40&md5=08d2d51dc2d797bdc19ec28bafd356c9 2-s2.0-84898778040
  35. Geipel J., Peteinatos G.G., Claupein W., Gerhards R. Enhancement of micro Unmanned Aerial Vehicles for agricultural aerial sensor systems 2013 Precision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013 161 167 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893393196&partnerID=40&md5=ff1cc9d58038848c32b4b8590f2a215a 2-s2.0-84893393196
  36. Weis M., Andújar D., Peteinatos G.G., Gerhards R. Improving the determination of plant characteristics by fusion of four different sensors 2013 Precision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013 63 69 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893370636&partnerID=40&md5=66fc62eb1cd9fea6c40ac0633888d5c1 2-s2.0-84893370636
  37. Rokos G., Peteinatos G., Kouveli G., Goumas G., Kourtis K., Koziris N. Solving the advection PDE on the cell broadband engine 2010 Proceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing, Workshops and Phd Forum, IPDPSW 2010 5470761 10.1109/IPDPSW.2010.5470761 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954039033&doi=10.1109%2fIPDPSW.2010.5470761&partnerID=40&md5=adbb7c1fcd2a70bef1b6b26009ac294f 2-s2.0-77954039033
  38. Athanassiou C.G., Kavallieratos N.G., Chintzoglou G.J., Peteinatos G.G., Boukouvala M.C., Petrou S.S., Panoussakis E.C. Effect of temperature and commodity on insecticidal efficacy of spinosad dust against Sitophilus oryzae (Coleoptera: Curculionidae) and Rhyzopertha dominica (Coleoptera: Bostrychidae) 2008 Journal of Economic Entomology 101 3 976 981 10.1603/0022-0493(2008)101[976:EOTACO]2.0.CO;2 https://www.scopus.com/inward/record.uri?eid=2-s2.0-46849083064&doi=10.1603%2f0022-0493%282008%29101%5b976%3aEOTACO%5d2.0.CO%3b2&partnerID=40&md5=befa7f5e9905578954757f0d1c3f0e7c 2-s2.0-46849083064
  39. Athanassiou C.G., Kavallieratos N.G., Peteinatos G.G., Petrou S.E., Boukouvala M.C., Tomanović Ž. Influence of temperature and humidity on insecticidal effect of three diatomaceous earth formulations against larger grain borer (Coleoptera: Bostrychidae) 2007 Journal of Economic Entomology 100 2 599 603 10.1603/0022-0493(2007)100[599:IOTAHO]2.0.CO;2 https://www.scopus.com/inward/record.uri?eid=2-s2.0-34248582389&doi=10.1603%2f0022-0493%282007%29100%5b599%3aIOTAHO%5d2.0.CO%3b2&partnerID=40&md5=f446f5ca35a2768f2b1344a68516dc9b 2-s2.0-34248582389

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