- AgriDirect Deutschland GmbH (2016). App-Nutzung unter den deutschen Landwirten liegt bei mehr als fünfzig Prozent. Online verfügbar unter https://www.agridirect.de/neu548 igkeiten/app-nutzung-unter-den-deutschen-landwirten-liegt-bei-mehr-als-funfzig549 prozent, last checked on 20.03.2020.
Paper not yet in RePEc: Add citation now
Aker, J. C., Ghosh, I. & Burrell, J. (2016). The promise (and pitfalls) of ICT for agriculture initiatives. Agricultural Economics, 47 (S1), 35–48.
- Batte, M. T. (2005). Changing computer use in agriculture: evidence from Ohio. Computers and Electronics in Agriculture, 47 (1), 1–13.
Paper not yet in RePEc: Add citation now
- Baumgart-Getz, A., Prokopy, L. S. & Floress, K. (2012). Why farmers adopt best manage555 ment practice in the United States: A meta-analysis of the adoption literature. Jour556 nal of Environmental Management, 96 (1), 17–25.
Paper not yet in RePEc: Add citation now
- Bonke, V., Fecke, W., Michels, M. & Musshoff, O. (2018). Willingness to pay for smartphone apps facilitating sustainable crop protection. Agronomy for Sustainable Development, 38 (5), Article 51.
Paper not yet in RePEc: Add citation now
- Carrer, M. J., de Souza Filho, H. M. & Batalha, M. O. (2017). Factors influencing the adop565 tion of Farm Management Information Systems (FMIS) by Brazilian citrus farmers. Computers and Electronics in Agriculture, 138, 11–19.
Paper not yet in RePEc: Add citation now
- Corsi, A., Novelli, S. & Pettenati, G. (2018). Producer and farm characteristics, type of prod568 uct, location: Determinants of on-farm and off-farm direct sales by farmers. Agri569 business – An international Journal, 34 (3), 631–649.
Paper not yet in RePEc: Add citation now
- Curto, J. D. & Pinto, J. C. (2011). The corrected vif (cvif). Journal of Applied Statistics, 38 (7), 1499–1507.
Paper not yet in RePEc: Add citation now
D’Antoni, J. M., Mishra, A. K. & Joo, H. (2012). Farmers’ perception of precision technol573 ogy: The case of autosteer adoption by cotton farmers. Computers and Electronics in Agriculture, 87, 121–128.
- Daberkow, S. G. & McBride, W. D. (2003). Farm and operator characteristics affecting the awareness and adoption of precision agriculture technologies in the US. Precision Agriculture, 4 (2), 163–177.
Paper not yet in RePEc: Add citation now
Dohmen, T., Falk, A., Huffman, D., Sunde, U., Schupp, J. & Wagner, G. G. (2011). Individ579 ual risk attitudes: Measurement, determinants, and behavioral consequences. Journal of the European Economic Association, 9 (3), 522–550.
- Doss, C. R. & Morris, M. L. (2000). How does gender affect the adoption of agricultural in582 novations? The case of improved maize technology in Ghana. Agricultural Econom583 ics, 25 (1), 27–39.
Paper not yet in RePEc: Add citation now
- Fecke, W., Michels, M., von Hobe, C.-F. & Musshoff, O. (2018). Wie kommunizieren Land585 wirte in Zeiten der Digitalisierung? Berichte über Landwirtschaft - Zeitschrift für Agrarpolitik und Landwirtschaft, 96 (2).
Paper not yet in RePEc: Add citation now
Feder, G. (1980). Farm size, risk aversion and the adoption of new technology under uncer588 tainty. Oxford Economic Papers, 32 (2), 263–283.
Fuglie, K. O. & Kascak, C. A. (2001). Adoption and diffusion of natural-resource-conserving agricultural technology. Applied Economic Perspectives and Policy, 23 (2), 386– 403.
- Fulton, J. P. & Port, K. (2018). Precision Agriculture Data Management. In: Shannon D. K., Clay, D. und Kitchen, N. R. (eds): Precision Agriculture Basics, pp. 169–188. Madi594 son, WI: ACSESS Publications.
Paper not yet in RePEc: Add citation now
- German Farmers Federation (2020): Situationsbericht 2019/2020. Hg. v. Deutscher Bauern596 verband - German Farmers Federation. Online available at: https://www.bauernver597 band.de/situationsbericht, last checked on 20.03.2020.
Paper not yet in RePEc: Add citation now
- Gerpott, T. J., Thomas, S. & Weichert, M. (2013). Personal characteristics and mobile Inter599 net use intensity of consumers with computer-centric communication devices: An exploratory empirical study of iPad and laptop users in Germany. Telematics and In601 formatics 30 (2), 87–99.
Paper not yet in RePEc: Add citation now
- Greene, William H. (2018). Econometric Analysis. 8th Edition. Harlow: Pearson Education Limited.
Paper not yet in RePEc: Add citation now
- Hennessy, T., Läpple, D. & Moran, B. (2016). The digital divide in farming: a problem of ac605 cess or engagement? Applied Economic Perspectives and Policy, 38 (3), 474–491.
Paper not yet in RePEc: Add citation now
- Hoffmann, C., Grethler, D. & Doluschitz, R. (2013). Mobile Business: Good preconditions on farms. Agricultural Engineering, 68 (1), 18–21.
Paper not yet in RePEc: Add citation now
Hübler, M. & Hartje, R. (2016). Are smartphones smart for economic development? In: Eco609 nomics Letters, 141, 130–133.
Jaffe, A. B., Newell, R. G. & Stavins, R. N. (2002). Environmental policy and technological change. Environmental and Resource Economics, 22 (1-2), 41–70.
Jeffcoat, C., Alison F. D. & Wuyang, H. (2012). Willingness to pay for broadband access by Kentucky farmers. Journal of Agricultural and Applied Economics, 44, 323–334.
- Jianjun, J., Yiwei, G., Xiaomin, W. & Nam, P. K. (2015). Farmers’ risk preferences and their climate change adaptation strategies in the Yongqiao District, China. Land Use Pol616 icy, 47, 365–372.
Paper not yet in RePEc: Add citation now
- Landmann, D., Lagerkvist, C.-J. & Otter, V. (2020). Determinants of Small-Scale Farmers’ Intention to Use Smartphones for Generating Agricultural Knowledge in Developing Countries: Evidence from Rural India. The European Journal of Development Re620 search, 1–20.
Paper not yet in RePEc: Add citation now
- Luboslav, S., Anita, R., Vladimir, B. & Michal, Z. (2017). Intensity of ICT use by managers of agricultural enterprises. Agricultural Economics, (CZ) 63 (11), 485–492.
Paper not yet in RePEc: Add citation now
Ma, W., Grafton, R. Q. & Renwick, A. (2020). Smartphone use and income growth in rural China: Empirical results and policy implications. Electronic Commerce Research, 20, 713–736.
- Mansfield, E. R. & Helms, B. P. (1982). Detecting multicollinearity. The American Statisti627 cian, 36 (3a), 158–160.
Paper not yet in RePEc: Add citation now
- Mendes, J., Pinho, T. M., Neves dos Santos, F., Sousa, J. J., Peres, E., Boaventura-Cunha, J., ... Morais, J. (2020). Smartphone Applications Targeting Precision Agriculture Prac630 tices – A Systematic Review. Agronomy, 10 (6), 855.
Paper not yet in RePEc: Add citation now
- Michels, M. & Musshoff, O. (2020.: An empirical study of smartphone use intensity in Ger642 man agriculture. German Journal of Agricultural Economics, 69 (2), 127–142.
Paper not yet in RePEc: Add citation now
- Michels, M., Bonke, V. & Musshoff, O. (2019a). Understanding the adoption of smartphone apps in dairy herd management. Journal of Dairy Science, 102 (10), 9422–9434.
Paper not yet in RePEc: Add citation now
- Michels, M., Bonke, V. & Musshoff, O. (2020a). Understanding the adoption of smartphone apps in crop protection. Precision Agriculture 21 (6), 1209–1226.
Paper not yet in RePEc: Add citation now
- Michels, M., Fecke, W., Feil, J.-H., Musshoff, O., Pigisch, J., Krone, S. (2020b). Smartphone adoption and use in agriculture: empirical evidence from Germany. Precision Agri637 culture 21, (2), 403–425.
Paper not yet in RePEc: Add citation now
Michels, M., Fecke, W., Feil, J.‐H., Musshoff, O., Lülfs‐Baden, F. & Krone, S. (2020c). “An639 ytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in German agriculture. Agribusiness – An international Journal, 36 (2), 192-207.
- Michels, M., Weller Von Ahlefeld, P. J. & Musshoff, O. (2019b). Acceptance and usage of navigation software by agricultural contractors – an application of the technology acceptance model. Agricultural Engineering, 74 (4), 81–97.
Paper not yet in RePEc: Add citation now
Nakasone, E. & Torero, M. (2016). A text message away: ICTs as a tool to improve food se647 curity. Agricultural Economics 47 (S1), 49–59.
Oyinbo, O., Chamberlin, J. & Maertens, M. (2020). Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria. Journal of Agricultural Eco650 nomics, 71 (3). 798–815.
Parlasca, M. C., Mußhoff, O. & Qaim, M. (2020). Can mobile phones improve nutrition among pastoral communities? Panel data evidence from Northern Kenya. Agricul653 tural Economics, 51 (3), 475–488.
- Paustian, M. & Theuvsen, L. (2017). Adoption of precision agriculture technologies by Ger655 man crop farmers. Precision Agriculture, 18 (5), 701–716.
Paper not yet in RePEc: Add citation now
Paxton, K. W., Mishra, A. K., Chintawar, S., Roberts, R. K., Larson, J. A., English, B. C., … Martin, S. W. (2011). Intensity of precision agriculture technology adoption by cot658 ton producers. Agricultural and Resource Economics Review, 40 (1), 133–144.
- Pew Research Center (2019). Smartphone Ownership Is Growing Rapidly Around the World, but Not Always Equally. Online available at https://www.pewre661 search.org/global/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the662 world-but-not-always-equally/, last checked on 07.11.2020.
Paper not yet in RePEc: Add citation now
- Pierpaoli, E., Carli, G., Pignatti, E. & Canavari, M. (2013). Drivers of Precision Agriculture Technologies Adoption: A Literature Review. Procedia Technology, 8, 61–69.
Paper not yet in RePEc: Add citation now
- Pongnumkul, S., Chaovalit, P. & Surasvadi, N. (2015). Applications of smartphone-based sensors in agriculture: a systematic review of research. Journal of Sensors, Article ID 195308.
Paper not yet in RePEc: Add citation now
- Puri, V., Nayyar, A. & Raja, L. (2017). Agriculture drones: A modern breakthrough in preci669 sion agriculture. Journal of Statistics and Management Systems, 20 (4), 507–518.
Paper not yet in RePEc: Add citation now
- Ramirez, A. (2013). The influence of social networks on agricultural technology adoption. In: Procedia-Social and Behavioral Sciences, 79 (6), 101–116.
Paper not yet in RePEc: Add citation now
- Reichardt, M. & Jürgens, C. (2009): Adoption and future perspective of precision farming in Germany: results of several surveys among different agricultural target groups. In: Precision Agriculture, 10 (1), 73–94.
Paper not yet in RePEc: Add citation now
- Rogers, E. M. (2010): Diffusion Of Innovations, 4th Edition. London: Free Press.
Paper not yet in RePEc: Add citation now
Rose, D. C., Sutherland, W. J., Parker, C., Lobley, M., Winter, M., Morris, C., … Dicks, L. V. (2016). Decision support tools for agriculture: Towards effective design and de678 livery. Agricultural Systems, 149, 165–174.
- Salemink, K., Strijker, D. & Bosworth, G. (2017). Rural development in the digital age: A systematic literature review on unequal ICT availability, adoption, and use in rural areas. Journal of Rural Studies, 54, 360–371.
Paper not yet in RePEc: Add citation now
- Spiller, A. (2006). Zielgruppen im Markt für Bio-Lebensmittel: Ein Forschungsüberblick. Target groups for organic food: an overview. Working Paper Nr. 0608: Department of Agricultural Economics and Rural Development, Georg-August-University Goettingen, Germany.
Paper not yet in RePEc: Add citation now
- Sylvester, G. (2018). E-agriculture in action: Drones for agriculture. Bangkok: Food and Ag687 riculture Organization of the United Nations and International Telecommunication Union.
Paper not yet in RePEc: Add citation now
- Tamirat, T. W., Pedersen, S. M. & Lind, K. M. (2018). Farm and operator characteristics af690 fecting adoption of precision agriculture in Denmark and Germany. Acta Agricul691 turae Scandinavica, Section B—Soil & Plant Science, 68 (4), 349–357.
Paper not yet in RePEc: Add citation now
- Teacher, A. G. F., Griffiths, D. J., Hodgson, D. J. & Inger, R. (2013). Smartphones in ecol693 ogy and evolution: a guide for the app‐rehensive. Ecology and Evolution, 3 (16), 5268–5278.
Paper not yet in RePEc: Add citation now
- Tey, Y. S. & Brindal, M. (2012). Factors influencing the adoption of precision agricultural technologies: a review for policy implications. Precision Agriculture, 13 (6), 713– 730.
Paper not yet in RePEc: Add citation now
- Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica: Journal of the Econometric Society, 26 (1), 24–36.
Paper not yet in RePEc: Add citation now
- Vellidis, G., Liakos, V., Andreis, J. H., Perry, C. D., Porter, W. M., Barnes, E. M., … Migliaccio, K. W. (2016). Development and assessment of a smartphone application for irrigation scheduling in cotton. Computers and Electronics in Agriculture, 127, 249–259.
Paper not yet in RePEc: Add citation now
- Watcharaanantapong, P., Roberts, R. K., Lambert, D. M., Larson, J. A., Velandia, M., Eng705 lish, B. C., … Wang, C. (2014). Timing of precision agriculture technology adoption in US cotton production. Precision Agriculture, 15 (4), 427–446.
Paper not yet in RePEc: Add citation now
- Wooldridge, J. M. (2013). Introductory Econometrics. A Modern Approach. 5th Edition Bos708 ton, Massachusetts: Cengage Learning.
Paper not yet in RePEc: Add citation now
- Xin, J., Zazueta, F. S., Vergot III, P., Mao, X., Navya, K. & Yang, Y. (2015). Delivering knowledge and solutions at your fingertips: strategy for mobile app development in agriculture. Agricultural Engineering International: CIGR Journal, Special Issue 2015, pp. 317–325.
Paper not yet in RePEc: Add citation now