Factors Affecting Precision Agriculture Adoption: A Systematic Litterature Review
References
- Adnan, N., Nordin, S.M., bin Abu Bakar, Z., 2017. Understanding and facilitating sustainable agricultural practice: A comprehensive analysis of adoption behaviour among Malaysian paddy farmers. Land Use Policy 68, 372–382. https://doi.org/10.1016/j.landusepol.2017.07.04610.1016/j.landusepol.2017.07.046
- Asare, E., Segarra, E., 2018. Adoption and extent of adoption of georeferenced grid soil sampling technology by cotton producers in the southern US. Precis. Agric. 19, 992–1010. https://doi.org/10.1007/s11119-018-9568-310.1007/s11119-018-9568-3
- Aubert, B.A., 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.2012.07.00210.1016/j.dss.2012.07.002
- Bagheri, N., Bordbar, M., 2014. Solutions for fast development of precision agriculture in Iran. Agric. Eng. Int. CIGR J. 16, 119–123.
- Barnes, A.P., Soto, I., Eory, V., Beck, B., Balafoutis, A., Sánchez, B., Vangeyte, J., Fountas, S., van der Wal, T., Gómez-Barbero, M., 2019. Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers. Land Use Policy 80, 163–174. https://doi.org/10.1016/j.landusepol.2018.10.00410.1016/j.landusepol.2018.10.004
- Bora, G.C., Nowatzki, J.F., Roberts, D.C., 2012. Energy savings by adopting precision agriculture in rural USA. Energy Sustain. Soc. 2, 1–5. https://doi.org/10.1186/2192-0567-2-2210.1186/2192-0567-2-22
- Bramley, R.G.V., Ouzman, J., 2019. Farmer attitudes to the use of sensors and automation in fertilizer decision-making: nitrogen fertilization in the Australian grains sector. Precis. Agric. 20, 157–175. https://doi.org/10.1007/s11119-018-9589-y10.1007/s11119-018-9589-y
- Brown, P., Daigneault, A., Dawson, J., 2019. Age, values, farming objectives, past management decisions, and future intentions in New Zealand agriculture. J. Environ. Manage. 231, 110–120. https://doi.org/10.1016/j.jenvman.2018.10.01810.1016/j.jenvman.2018.10.018
- Brown, P., Hart, G., Small, B., de Oca Munguia, O.M., 2016. Agents for diffusion of agricultural innovations for environmental outcomes. Land Use Policy 55, 318–326. https://doi.org/10.1016/j.landusepol.2016.04.01710.1016/j.landusepol.2016.04.017
- Brown, P., Roper, S., 2017. Innovation and networks in New Zealand farming. Aust. J. Agric. Resour. Econ. 61, 422–442. https://doi.org/10.1111/1467-8489.1221110.1111/1467-8489.12211
- Bucci, G., Bentivoglio, D., Finco, A., 2019. Factors affecting ict adoption in agriculture: A case study in italy. Qual. - Access Success 20, 122–129.
- Carrer, M.J., de Souza Filho, H.M., Batalha, M.O., 2017. Factors influencing the adoption of Farm Management Information Systems (FMIS) by Brazilian citrus farmers. Comput. Electron. Agric. 138, 11–19. https://doi.org/10.1016/j.compag.2017.04.00410.1016/j.compag.2017.04.004
- Chang, S.C., Tsai, C.-H., 2015. The adoption of new technology by the farmers in Taiwan. Appl. Econ. 47, 3817–3824. https://doi.org/10.1080/00036846.2015.101903510.1080/00036846.2015.1019035
- Danso-Abbeam, G., Dagunga, G., Ehiakpor, D.S., 2019. Adoption of Zai technology for soil fertility management: evidence from Upper East region, Ghana. J. Econ. Struct. 8. https://doi.org/10.1186/s40008-019-0163-110.1186/s40008-019-0163-1
- D’Antoni, J.M., Mishra, A.K., Joo, H., 2012. Farmers’ perception of precision technology: The case of autosteer adoption by cotton farmers. Comput. Electron. Agric. 87, 121–128. https://doi.org/10.1016/j.compag.2012.05.01710.1016/j.compag.2012.05.017
- D’Antoni, Jeremy M., Mishra, A.K., Joo, H., 2012. Farmers’ perception of precision technology: The case of autosteer adoption by cotton farmers. Comput. Electron. Agric. 87, 121–128. https://doi.org/10.1016/j.compag.2012.05.01710.1016/j.compag.2012.05.017
- Dela Rue, B.T., Eastwood, C.R., 2017. Individualised feeding of concentrate supplement in pasture-based dairy systems: Practices and perceptions of New Zealand dairy farmers and their advisors. Anim. Prod. Sci. 57, 1543–1549. https://doi.org/10.1071/AN1647110.1071/AN16471
- Ferrari, E., Cavallo, E., 2011. Issues in new technology adoption in agriculture: A survey among italian tractor’s users. Presented at the CEUR Workshop Proceedings, pp. 121–128.
- Frankelius, P., Norrman, C., Johansen, K., 2019. Agricultural Innovation and the Role of Institutions: Lessons from the Game of Drones. J. Agric. Environ. Ethics 32, 681–707. https://doi.org/10.1007/s10806-017-9703-610.1007/s10806-017-9703-6
- Griffin, T.W., Miller, N.J., Bergtold, J., Shanoyan, A., Sharda, A., Ciampitti, I.A., 2017. Farm’s sequence of adoption of information-intensive precision agricultural technology. Appl. Eng. Agric. 33, 521–527. https://doi.org/10.13031/aea.1222810.13031/aea.12228
- Gyata, B.A., 2019. Comparative assessment of adoption determinants of electronic wallet system by rice farmers in Benue and Taraba states, Nigeria. Food Res. 3, 117–122. https://doi.org/10.26656/fr.2017.3(2).13210.26656/fr.2017.3(2).132
- Hay, R., Pearce, P., 2014. Technology adoption by rural women in Queensland, Australia: Women driving technology from the homestead for the paddock. J. Rural Stud. 36, 318–327. https://doi.org/10.1016/j.jrurstud.2014.10.00210.1016/j.jrurstud.2014.10.002
- Higgins, V., Bryant, M., Howell, A., Battersby, J., 2017. Ordering adoption: Materiality, knowledge and farmer engagement with precision agriculture technologies. J. Rural Stud. 55, 193–202. https://doi.org/10.1016/j.jrurstud.2017.08.01110.1016/j.jrurstud.2017.08.011
- Jensen, H.G., Jacobsen, L.-B., Pedersen, S.M., Tavella, E., 2012. Socioeconomic impact of widespread adoption of precision farming and controlled traffic systems in Denmark. Precis. Agric. 13, 661–677. https://doi.org/10.1007/s11119-012-9276-310.1007/s11119-012-9276-3
- Kaarthikeyan, G.M., Suresh, A., 2019. A study on understanding the adoption of water saving technology: A case study of drip irrigation. Int. J. Recent Technol. Eng. 7, 1123–1130.
- Kaler, J., Ruston, A., 2019. Technology adoption on farms: Using Normalisation Process Theory to understand sheep farmers’ attitudes and behaviours in relation to using precision technology in flock management. Prev. Vet. Med. 170. https://doi.org/10.1016/j.prevetmed.2019.10471510.1016/j.prevetmed.2019.104715
- Kaliba, A.R., Mushi, R.J., Gongwe, A.G., Mazvimavi, K., 2020. A typology of adopters and nonadopters of improved sorghum seeds in Tanzania: A deep learning neural network approach. World Dev. 127. https://doi.org/10.1016/j.worlddev.2019.10483910.1016/j.worlddev.2019.104839
- Kawarazuka, N., Prain, G., 2019. Gendered processes of agricultural innovation in the Northern uplands of Vietnam. Int. J. Gend. Entrep. 11, 210–226. https://doi.org/10.1108/IJGE-04-2019-008710.1108/IJGE-04-2019-0087
- Keskin, M., Sekerli, Y.E., 2016. Awareness and adoption of precision agriculture in the Cukurova region of Turkey. Agron. Res. 14, 1307–1320.
- Khanal, A.R., Mishra, A.K., Lambert, D.M., Paudel, K.K., 2019. Modeling post adoption decision in precision agriculture: A Bayesian approach. Comput. Electron. Agric. 162, 466–474. https://doi.org/10.1016/j.compag.2019.04.02510.1016/j.compag.2019.04.025
- Knierim, A., Kernecker, M., Erdle, K., Kraus, T., Borges, F., Wurbs, A., 2019. Smart farming technology innovations – Insights and reflections from the German Smart-AKIS hub. NJAS -Wagening. J. Life Sci. 90–91. https://doi.org/10.1016/j.njas.2019.10031410.1016/j.njas.2019.100314
- Koutsos, T., Menexes, G., 2019. Economic, agronomic, and environmental benefits from the adoption of precision agriculture technologies: A systematic review. Int. J. Agric. Environ. Inf. Syst. 10, 40–56. https://doi.org/10.4018/IJAEIS.201901010310.4018/IJAEIS.2019010103
- Lambert, D.M., Paudel, K.P., Larson, J.A., 2015. Bundled adoption of precision agriculture technologies by cotton producers. J. Agric. Resour. Econ. 40, 325–345.
- McCarthy, B., Liu, H.-B., Chen, T., 2016. Innovations in the agro-food system: Adoption of certified organic food and green food by Chinese consumers. Br. Food J. 118, 1334–1349. https://doi.org/10.1108/BFJ-10-2015-037510.1108/BFJ-10-2015-0375
- Mengistu, F., Assefa, E., 2019. Farmers’ decision to adopt watershed management practices in Gibe basin, southwest Ethiopia. Int. Soil Water Conserv. Res. 7, 376–387. https://doi.org/10.1016/j.iswcr.2019.08.00610.1016/j.iswcr.2019.08.006
- Miller, N.J., Griffin, T.W., Ciampitti, I.A., Sharda, A., 2019. Farm adoption of embodied knowledge and information intensive precision agriculture technology bundles. Precis. Agric. 20, 348–361.10.1007/s11119-018-9611-4
- Ng’ang’a, S.K., Jalang’o, D.A., Girvetz, E.H., 2019. Adoption of technologies that enhance soil carbon sequestration in East Africa. What influence farmers’ decision? Int. Soil Water Conserv. Res. https://doi.org/10.1016/j.iswcr.2019.11.00110.1016/j.iswcr.2019.11.001
- Nordin, S.M., Noor, S.M., Saad, M.S. bin M., 2014. Innovation Diffusion of New Technologies in the Malaysian Paddy Fertilizer Industry. 2nd World Conf. Bus. Econ. Manag. 109, 768–778.10.1016/j.sbspro.2013.12.542
- Paustian, M., Theuvsen, L., 2017. Adoption of precision agriculture technologies by German crop farmers. Precis. Agric. 18, 701–716. https://doi.org/10.1007/s11119-016-9482-510.1007/s11119-016-9482-5
- Pierpaoli, E., Carli, G., Pignatti, E., Canavari, M., 2013. Drivers of Precision Agriculture Technologies Adoption: A Literature Review. 6th Int. Conf. Inf. Commun. Technol. Agric. Food Environ. HAICTA 2013 8, 61–69. https://doi.org/10.1016/j.protcy.2013.11.01010.1016/j.protcy.2013.11.010
- Reichardt, M., Jürgens, C., 2009. Adoption and future perspective of precision farming in Germany: Results of several surveys among different agricultural target groups. Precis. Agric. 10, 73–94. https://doi.org/10.1007/s11119-008-9101-110.1007/s11119-008-9101-1
- Robertson, M.J., Llewellyn, R.S., Mandel, R., Lawes, R., Bramley, R.G.V., Swift, L., Metz, N., O’Callaghan, C., 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/s11119-011-9236-310.1007/s11119-011-9236-3
- Séogo, W., Zahonogo, P., 2019. Land tenure system innovation and agricultural technology adoption in Burkina Faso: Comparing empirical evidence to the worsening situation of both rural people vulnerability and vulnerable groups’ access to land. Afr. J. Sci. Technol. Innov. Dev. 11, 833–842. https://doi.org/10.1080/20421338.2019.158725710.1080/20421338.2019.1587257
- Walton, J.C., Roberts, R.K., Lambert, D.M., Larson, J.A., English, B.C., Larkin, S.L., Martin, S.W., Marra, M.C., Paxton, K.W., Reeves, J.M., 2010. Grid soil sampling adoption and abandonment in cotton production. Precis. Agric. 11, 135–147. https://doi.org/10.1007/s11119-009-9144-y10.1007/s11119-009-9144-y
- Watcharaanantapong, P., Roberts, R.K., Lambert, D.M., Larson, J.A., Velandia, M., English, B.C., Rejesus, R.M., Wang, C., 2014. Timing of precision agriculture technology adoption in US cotton production. Precis. Agric. 15, 427–446. https://doi.org/10.1007/s11119-013-9338-110.1007/s11119-013-9338-1
- Welsh, R., Grimberg, S., Gillespie, G.W., Swindal, M., 2010. Technoscience, anaerobic digester technology and the dairy industry: Factors influencing north country new york dairy farmer views on alternative energy technology. Renew. Agric. Food Syst. 25, 170–180. https://doi.org/10.1017/S174217051000013X10.1017/S174217051000013X
- Zhang, T., Yang, Y., Ni, J., Xie, D., 2019. Adoption behavior of cleaner production techniques to control agricultural non-point source pollution: A case study in the Three Gorges Reservoir Area. J. Clean. Prod. 223, 897–906. https://doi.org/10.1016/j.jclepro.2019.03.194 INTRODUCTION10.1016/j.jclepro.2019.03.194
Language: English
Page range: 103 - 121
Submitted on: Aug 17, 2020
Accepted on: Sep 9, 2020
Published on: Dec 31, 2020
Published by: Oikos Institut d.o.o.
In partnership with: Paradigm Publishing Services
Publication frequency: 3 times per year
Related subjects:
© 2020 Taoufik Yatribi, published by Oikos Institut d.o.o.
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.