Adesina AA, Zinnah MM (1993) Technology characteristics, farmers’ perceptions and adoption decisions: a Tobit model application in Sierra Leone. Agric Econ 9(4):297–311
Article
Google Scholar
Adrian AM, Norwood SH, Mask PL (2005) Producers’ perceptions and attitudes toward precision agriculture technologies. Comput Electron Agric 48(3):256–271. https://doi.org/10.1016/j.compag.2005.04.004
Article
Google Scholar
Ajewole OC (2010) Farmers response to adoption of commercially available organic fertilizers in Oyo state, Nigeria. Afr J Agric Res 5(18):2497–2503 (ISSN 1991-637X)
Google Scholar
Anselmi AA, Bredemeier C, Federizzi LC, Molin JP (2014) Factors related to adoption of precision agriculture technologies in southern Brazil. Retrieved 12 Mar 2018
Aubert BA, Schroeder A, Grimaudo J (2012) IT as enabler of sustainable farming: an empirical analysis of farmers’ adoption decision of precision agriculture technology. Decis Support Syst 54:510–520. https://doi.org/10.1016/j.dss.2012.07.002
Article
Google Scholar
Barnes AP, Soto I, Eory V, Beck B, Balafoutis A, Sánchez B et al (2019) Exploring the adoption of precision agricultural technologies: a cross regional study of EU farmers. Land Use Policy 80:163–174. https://doi.org/10.1080/21606544.2018.1561329
Article
Google Scholar
Bessant J, Oberg C, Trifilova A (2014) Framing problems in radical innovation. Ind Mark Manag 43(8):1284–1292. https://doi.org/10.1016/j.indmarman.2014.09.003
Article
Google Scholar
Bewsell D, Kaine G (2005) Adoption of environmental best practice amongst dairy farmers. In: 11th Annual conference of the New Zealand agricultural and resource economics society Inc. Nelson
Birner R, Anderson JR (2009) How to make agricultural extension demand-driven? The case of India’s agricultural extension policy. In: Singh S, Reddy VR (eds) Changing contours of Asian agriculture policies, performance and challenges. Academic Foundation, New Delhi, pp 139–180
Google Scholar
Ceschin F (2013) Critical factors for implementing and diffusing sustainable product-service systems: insights from innovation studies and companies’ experiences. J Clean Prod 45:74–88
Article
Google Scholar
Christensen RŽ (1990) Log-linear models. Springer, New York
Book
Google Scholar
Crevoisier O (2004) The innovative milieus approach: toward a territorialized understanding of the economy? Econ Geogr 80(4):367–379
Article
Google Scholar
Cullen R, Forbes SL, Grout R (2013) Non-adoption of environmental innovations in wine growing. N Z J Crop Hortic Sci 41:41–48. https://doi.org/10.1080/01140671.2012.744760
Article
Google Scholar
D’Antoni JM, Mishra AK, Joo H (2012) Farmers’ perception of precision technology: the case of autosteer adoption by cotton farmers. Comput Electron Agric 87:121–128
Article
Google Scholar
Danrhofer I (2015) Socio-technical transitions in farming. Key concepts. In: Sutherland LA, Darnhofer I, Wilson G, Zagata L (eds) Transition pathways towards sustainability in European agriculture. CABI Publisher, Wallingford
Google Scholar
Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13:319–340. https://doi.org/10.2307/249008
Article
Google Scholar
De Baerdemaeker J (2013) Precision agriculture technology and robotics for good agricultural practices. IFAC Proc Vol 46(4):1–4
Article
Google Scholar
De Lillo A, Argentin G, Lucchini M, Sarti S, Terraneo M (2007) Analisi multivariata per le scienze sociali. Pearson Education, London, pp 197–245 (ISBN 978-88-7192-376-5)
Google Scholar
del Río Gonzalez P (2005) Analysing the factors influencing clean technology adoption: a study of the Spanish pulp and paper industry. Bus Strategy Environ 14:20–37. https://doi.org/10.1002/bse.426
Article
Google Scholar
Diederen P, van Meijl H, Wolters A, Bijak K (2003) Innovation adoption in agriculture: innovators, early adopters and laggards. Cahiers D’écon Sociol Rural 67:29–50
Article
Google Scholar
Doloreux D, Isaksen A, Aslene A, Melancon Y (2009) A comparative study of the aquaculture innovation systems in Quebec’s coastal region and Norway. Eur Plan Stud 17(7):963–981
Article
Google Scholar
Edwards-Jones G (2006) Modelling farmer decision-making: concepts, progress and challenges. Anim Sci 82(6):783–790. https://doi.org/10.1017/ASC2006112
Article
Google Scholar
Etikan I, Musa S, Alkassim R (2016) Comparison convenience sampling and purposive sampling. Am J Theor Appl Stat 5(1):1–4
Article
Google Scholar
European Commission (2017) The future of food and farming. COM (2017) 713 Final
Faber A, Hoppe T (2013) Co-constructing a sustainable built environment in the Netherlands dynamics and opportunities in an environmental sectoral innovation system. Energy Policy 52:628–638. https://doi.org/10.1016/j.enpol.2012.10.022
Article
Google Scholar
Far ST, Rezaei-Moghaddam K (2017) Determinants of Iranian agricultural consultants’ intentions toward precision agriculture: integrating innovativeness to the technology acceptance model. J Saudi Soc Agric Sci 16(3):280–286. https://doi.org/10.1016/j.jssas.2015.09.003
Article
Google Scholar
Faure G, Chiffoleau Y, Goulet F, Temple L, Touzard JM (eds) (2018) Innovation and development in agricultural and food systems. Éditions Quæ, Versailles Cedex
Google Scholar
Feder G, Just RJ, Zilberman D (1985) Adoption of agricultural innovations in developing countries: a survey. Econ Dev Cult Change 33(2):255–298. https://doi.org/10.1086/451461
Article
Google Scholar
Fernandez-Cornejo J, Daberkow SG, McBride WD (2001) Decomposing the size effect on the adoption of innovations: agrobiotechnology and precision farming (No. 374-2016-19657)
Fiske A, Kitayama S, Markus HR, Nisbett RE (1998) The cultural matrix of social psychology. In: Gilbert D, Fiske S, Lindzey G (eds) The handbook of social psychology, vol 2, 4th edn. McGraw-Hill, San Francisco, pp 915–981
Google Scholar
Folorunso O, Ogunseye SO (2008) Applying an enhanced technology acceptance model to knowledge management in agricultural extension services. Data Sci J 7:31–45
Article
Google Scholar
Fountas S, Blackmore S, Ess D, Hawkins S, Blumhoff G, Lowenberg-Deboer J, Sorensen CG (2005) Farmer experience with precision agriculture in Denmark and the US Eastern Corn Belt. Precis Agric 6(2):121–141
Article
Google Scholar
Geels FW, Schot J (2007) Typology of sociotechnical transition pathways. Res Policy 36(3):399–417
Article
Google Scholar
Ghadim AKA, Pannell DJ (1999) A conceptual framework of adoption of an agricultural innovation. Agric Econ 21(2):145–154. https://doi.org/10.1016/S0169-5150(99)00023-7
Article
Google Scholar
Griffin TW, Lowenberg-DeBoer J, Lambert DM, Peone J, Payne T, Daberkow SG (2004) Adoption, profitability, and making better use of precision farming data. Staff Paper #04–06 Department of Agricultural Economics, Purdue University, USA
Hamilton WH (1932) Institutions. In: Seligman E, Johnson A (eds) Encyclopedia of social sciences. pp 560–595, Macmillan puplishers, London
Hodgson GM (2003) The hidden persuaders: institutions and individuals in economic theory. Camb J Econ 27:159–175
Article
Google Scholar
Hoff K, Stiglitz JE (2016) Striving for balance in economics: towards a theory of the social determination of behavior. J Econ Behav Organ 126:25–57
Article
Google Scholar
Hoffman AJ, Henn R (2008) Overcoming the social and psychological barriers to green building. Organ Environ 21(4):390–419. https://doi.org/10.1177/1086026608326129
Article
Google Scholar
Hudson D, Hite D (2003) Producer willingness to pay for precision application technology: implications for government and the technology industry. Can J Agric Econ Can Agroeco 51:39–53
Article
Google Scholar
Isgin T, Bilgic A, Forster DL, Batte M (2008) Using count data models to determine the factors affecting farmers’ quantity decisions of precision farming technology adoption. Comput Electron Agric 62:231–242. https://doi.org/10.1016/j.compag.2008.01.004
Article
Google Scholar
Joffre OM, Klerkx L, Khoa TN (2018) Aquaculture innovation system analysis of transition to sustainable intensification in shrimp farming. Agron Sustain Dev 38(3):1–11
Article
Google Scholar
Kabunga NS, Dubois T, Qaim M (2012) Heterogeneous information exposure and technology adoption: the case of tissue culture bananas in Kenya. Agric Econ 43(5):473–486
Article
Google Scholar
Kelley K, Clark B, Brown V, Sitzia J (2003) Good practice in the conduct and reporting of survey research. Int J Quality Health Care 15:261–266. https://doi.org/10.1093/intqhc/mzg031
Article
Google Scholar
Khanna M (2001) Sequential adoption of site-specific technologies and its implications for nitrogen productivity: a double selectivity model. Am J Agric Econ 83:35–51
Article
Google Scholar
Kitchen NR, Snyder CJ, Franzen DW, Wiebold WJ (2002) Educational needs of precision agriculture. Precis Agric 3(4):341–351
Article
Google Scholar
Kutter T, Tiemann S, Siebert R, Fountas S (2011) The role of communication and co-operation in the adoption of precision farming. Precis Agric 2011(12):2–17
Article
Google Scholar
Lambert DM, Paudel KP, Larson JA (2015) Bundled adoption of precision agriculture technologies by cotton producers. J Agric Resour Econ 40(2):325–345
Google Scholar
Läpple D, Renwick A, Thorne F (2015) Measuring and understanding the drivers of agricultural innovation: evidence from Ireland. Food Policy 51:1–8. https://doi.org/10.1016/j.foodpol.2014.11.003
Article
Google Scholar
Larson JA, Roberts RK, English BC, Larkin SL, Marra MC, Martin SW, Paxton KW, Reeves JM (2008) Factors affecting farmer adoption of remotely sensed imagery for precision management in cotton production. Precis Agric 9:195–208. https://doi.org/10.1007/s11119-008-9065-1
Article
Google Scholar
Leeuwis C, Van den Ban A (2004) Communication for innovation: rethinking agricultural extension, 3rd edn. Blackwell Publishing, Oxford
Book
Google Scholar
Lencsés E, Takács I, Takács-György K (2014) Farmers’ perception of precision farming technology among Hungarian farmers. Sustainability 6(12):8452–8465
Article
Google Scholar
Lima E, Hopkins T, Gurney E, Shortall O, Lovatt F, Davies P, Shortall O, Lovatt F, Davies P, Williamson G, Kaler J (2018) Drivers for precision livestock technology adoption: a study of factors associated with adoption of electronic identification technology by commercial sheep farmers in England and Wales. PLoS ONE 13(1):e0190489
Article
Google Scholar
Long TB, Blok V, Coninx I (2016) Barriers to the adoption and diffusion of technological innovations for climate-smart agriculture in Europe: evidence from the Netherlands, France, Switzerland and Italy. J Clean Prod 112:9–21. https://doi.org/10.1016/j.jclepro.2015.06.044
Article
Google Scholar
Lugandu S (2013) Factors influencing the adoption of conservation agriculture by smallholder farmers in Karatu and Kongwa districts of Tanzania. In: REPOA’s18thannual research workshop held at the Kunduchi Beach Hotel, Dar es Salaam, Tanzania
Markus HR, Kitayama S (2010) Cultures and selves: a cycle of mutual constitution. Perspect Psychol Sci 5(4):420–430
Article
Google Scholar
McBride WD, Daberkow SG (2003a) Information and the adoption of precision farming technologies. J Agribus 21(1):21–38
Google Scholar
McBride WD, Daberkow SG (2003b) Farm and operator characteristics affecting the awareness and adoption of precision agriculture technologies in the US. Precis Agric 4:163–177. https://doi.org/10.1023/A:1024557205871
Article
Google Scholar
McCarthy N, Lipper L, Branca G (2011) Climate-smart agriculture: smallholder adoption and implications for climate change adaptation and mitigation. Mitigation of climate change in agriculture series. FAO, Rome
Google Scholar
Miller NJ, Griffin TW, Bergtold J, Ciampitti IA, Sharda A (2017) Farmers’ adoption path of precision agriculture technology. Eur Conf Precis Agric 2017(8):708–712
Google Scholar
Moore GC, Benbasat I (1991) Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf Syst Res 2:192–222. https://doi.org/10.1287/isre.2.3.192
Article
Google Scholar
Ntshangase N, Muroyiwa B, Sibanda M (2018) Farmers’ perceptions and factors influencing the adoption of no-till conservation agriculture by small-scale farmers in Zashuke, KwaZulu-Natal Province. Sustainability 10(2):555
Article
Google Scholar
Ogle SM, Olander L, Wollenberg L, Rosenstock T, Tubiello F, Paustian K, Buendia L, Nihart A, Smith P (2014) Reducing greenhouse gas emissions and adapting agricultural management for climate change in developing countries: providing the basis for action. Glob Change Biol 20(1):1–6
Article
Google Scholar
Pannell DJ, Marshall GR, Barr N, Curtis A, Vanclay F, Wilkinson R (2006) Understanding and promoting adoption of conservation practices by rural landholders. Aust J Exp Agric 46(11):1407–1424. https://doi.org/10.1071/EA05037
Article
Google Scholar
Pathak HS, Brown P, Best T (2019) A systematic literature review of the factors affecting the precision agriculture adoption process. Precis Agric 20(6):1292–1316
Article
Google Scholar
Paustian M, Theuvsen L (2016) Adoption of precision agriculture technologies by German crop farmers. Precis Agric 18:1–16
Google Scholar
Paxton K, Mishra A, Chintawar S, Roberts R, Larson JA, English B, Lambert DM, Marra MC, Larkin SL, Reeves JM, Martin SW (2011) Intensity of precision agriculture technology adoption by cotton producers. Agric Resour Econ Rev 40(1):133–144. https://doi.org/10.1017/S1068280500004561
Article
Google Scholar
Pierpaoli E, Carli G, Pignatti E, Canavari M (2013) Drivers of precision agriculture technologies adoption: a literature review. Procedia Technol 8:61–69. https://doi.org/10.1016/j.protcy.2013.11.010
Article
Google Scholar
Pretty J (2001) Farmer-based agroecological technology. International Food Policy Research Institute, Washington, DC. Available at Web site www.ifpri.org/2020/focus/focus07/focus07_02.htm. Verified 26 April 2005.
Rallet A, Torre A (2004) Proximité et localisation. Econ Rural 284:25–41
Article
Google Scholar
Reimer AP, Weinkauf DK, Prokopy LS (2012) The influence of perceptions of practice characteristics: an examination of agricultural best management practice adoption in two Indiana watersheds. J Rural Stud 28(1):118–128
Article
Google Scholar
Rezaei-Moghaddam K, Salehi S (2010) Agricultural specialists’ intention toward precision agriculture technologies: integrating innovation characteristics to technology acceptance model. Afr J Agric Res 5:1191–1199
Google Scholar
Roberts RK, English BC, Larson JA, Cochran RL, Goodman WR, Larkin SL et al (2004) Adoption of site-specific information and variable-rate technologies in cotton precision farming. J Agric Appl Econ 36:143–158
Article
Google Scholar
Robertson MJ, Llewellyn RS, Mandel R, Lawes R, Bramley RGV, Swift L et al (2012) Adoption of variable rate fertiliser application in the Australian grains industry: status, issues and prospects. Precis Agric 13:181–199. https://doi.org/10.1007/s11119-011-9236-3
Article
Google Scholar
Rogers EM (2003) Diffusion of innovations, 5th edn. Free Press, New York
Google Scholar
Sassenrath GF, Heilman P, Luschei E, Bennett GL, Fitzgerald G, Klesius P, Tracy W, Williford JR, Zimba PV (2008) Technology, complexity and change in agricultural production systems. Renew Agric Food Syst 23(4):285–295. https://doi.org/10.1017/S174217050700213X
Article
Google Scholar
Say SM, Keskin M, Sehri M, Sekerli YE (2018) Adoption of precision agriculture technologies in developed and developing countries. Online J Sci Technol 8(1):7–15
Google Scholar
Schirmer J, Bull L (2014) Assessing the likelihood of widespread landholder adoption of afforestation and reforestation projects. Glob Environ Change 24:306–320
Article
Google Scholar
Schwab JA (2002) Multinomial logistic regression: basic relationships and complete problems. Retrieved from http://www.utexas.edu/courses/schwab/sw388r7/SolvingProblems
Sneddon J, Soutar G, Mazzarol T (2011) Modelling the faddish, fashionable and efficient diffusion of agricultural technologies: a case study of the diffusion of wool testing technology in Australia. Technol Forecast Soc Change 78:468–480. https://doi.org/10.1016/j.techfore.2010.06.005
Article
Google Scholar
Storper M (2001) The poverty of radical theory today: from the false promises of Marxism to the mirage of the cultural turn. Int J Urban Reg Res 25(1):155–179. https://doi.org/10.1111/1468-2427.00303·
Article
Google Scholar
Struik PC, Klerkx L, Hounkonnou D (2014) Unravelling institutional determinants affecting change in agriculture in West Africa. Int J Agr Sustain 12(3):370–382. https://doi.org/10.1080/14735903.2014.909642
Article
Google Scholar
Taherdoost H (2016) Sampling methods in research methodology; how to choose a sampling technique for research. Int J Adv Res Manag 5(2):18–27
Google Scholar
Tey YS, Brindal M (2012) Factors influencing the adoption of precision agricultural technologies: a review for policy implications. Precis Agric 13:713–730. https://doi.org/10.1007/s11119-012-9273-6
Article
Google Scholar
Van der Weerdt C, de Boer J (2016) Focusing on behaviour to ensure adoption of big data information services in precision livestock farming. In: Proceedings of the 7th European conference on precision livestock farming. pp 721–729
Vecchio Y, Agnusdei GP, Miglietta PP, Capitanio F (2020a) Adoption of precision farming tools: the case of Italian farmers. Int J Environ Res Public Health 17:869
Article
Google Scholar
Vecchio Y, De Rosa M, Adinolfi F, Bartoli L, Masi M (2020b) Adoption of precision farming tools: a context-related analysis. Land Use Policy 94:104. https://doi.org/10.1016/j.landusepol.2020.104481 (ISSN 0264-8377)
Article
Google Scholar
Venkatesh V, Davis FD (1996) A model of the antecedents of perceived ease of use: development and test. Decis Sci 27(3):451–481
Article
Google Scholar
Walton JC, Larson JA, Roberts RK, Lambert DM, English BC, Larkin SL, Marra MC, Martin SW, Paxton KW, Reeves JM (2010) Factors influencing farmer adoption of portable computers for site-specific management: a case study for cotton production. J Agric Appl Econ 42(2):193–209. https://doi.org/10.1017/S1074070800003400
Article
Google Scholar
Welter F (2011) Contextualizing entrepreneurship—conceptual challenges and ways forward, entrepreneurship. Theory Pract 35(1):165–184. https://doi.org/10.1111/j.1540-6520.2010.00427.x
Article
Google Scholar
Wheeler SA (2008) The barriers to further adoption of organic farming and genetic engineering in Australia: views of agricultural professionals and their information sources. Renew Agric Food Syst 23:161–170. https://doi.org/10.1017/S1742170507002128
Article
Google Scholar
Zarco-Tejada PJ, Hubbard N, Loudjani P (2014) Precision agriculture: an opportunity for EU farmers—potential support with the CAP 2014–2020. Document prepared for the European Parliament's Committee on Agriculture and Rural Development