Determinants of the Adoption of Digital Technologies in Pineapple Production in Southern Benin
Abstract
Although digital technologies simplify many operations, such as planning, financing, reporting, and activity monitoring, and improve agricultural performance, few studies have examined the determinants of the adoption of digital agricultural practices in Benin. This study fills this gap by using representative data from quantitative surveys of 400 randomly selected pineapple producers to analyze the simultaneous adoption of various digital technologies and the factors determining this adoption in a developing country such as Benin. Using a bivariate probit model, the study shows that the adoption of digital agriculture is significantly influenced not only by sociodemographic and economic variables (producer's education level, access to credit, household size) and access to agricultural advice, but also and above all by producers' perceptions (perception of high usage or purchase costs). The main policy implications include facilitating producers' access to credit and agricultural advisory services through continuing training to improve producers' technical skills in the use and management of digital technologies.
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Abiri, R., Rizan, N., Balasundram, S. K., Shahbazi, A. B., & Abdul-Hamid, H. (2023). Application of digital technologies for ensuring agricultural productivity. Heliyon, 9(12). https://doi.org/10.1016/j.heliyon.2023.e22601
Addorisio, R., Casolani, N., Maesano, G., Coderoni, S., Perito, M. A., Mattetti, M., & Canavari, M. (2025). Barriers and drivers of digital agriculture adoption: Insights from Italian farming stakeholders. International Journal on Food System Dynamics, 16(1), 1-12.
Adekambi, S. A., Codjovi, J. E. A., & Yabi, J. A. (2021). Determinants of the Adoption of Integrated Soil Fertility Management (ISFM) Practices in Northern Benin: A Multivariate Probit Model Application to Maize Farmers. International Journal of Biological and Chemical Sciences, 15(2), 664-678. https://doi.org/10.4314/ijbcs.v15i2.22
Ahoya, D. K. D., Sawadogo-Compaore, E. M. F. W., Yabi, J. A., Zandjanakou-Tachin, M., Houngue, J. A., Houedjissin, S. S., Pita, J. S. et Ahanhanzo, C. (2024). Factors influencing adoption of the PlantVillage Nuru application for cassava mosaic disease diagnosis among farmers in Benin. Agriculture, 14(11), 2001. https://doi.org/10.3390/agriculture14112001
Aker, J. C., Ghosh, I., & Burrell, J. (2016). The promise (and pitfalls) of ICT for agriculture initiatives. Agricultural Economics, 47(S1), 35-48.https://doi.org/10.1111/agec.12301
Amare, A., & Simane, B. (2018). Does adaptation to climate change and variability provide household food security? Evidence from Muger sub-basin of the upper Blue-Nile, Ethiopia. Ecological Processes, 7, 1-12. https://doi.org/10.1186/s13717-018-0124-x
Amessinou K. (2018). Mobile Technologies in the Agricultural Sector in Southern Benin: The Case of Pineapple Producers. Information and Communication Sciences. Michel de Montaigne University – Bordeaux III, 2018. (In French). ffNNT : 2018BOR30031ff. fftel-01963829f
Amoussohoui, R., Arouna, A., Bavorova, M., Verner, V., Yergo, W., & Banout, J. (2024). Analysis of the factors influencing the adoption of digital extension services: evidence from the RiceAdvice application in Nigeria. The Journal of Agricultural Education and Extension, 30(3), 387-416. https://doi.org/10.1080/1389224X.2023.2222109
Anand, M. S. (2021). Role of WhatsApp in transfer of agricultural technology. Master of science (agriculture) in agricultural extension and communication. M. Sc.(Ag.) Thesis. Post Graduate Institute Mahatma Phule Krishi Vidyapeeth Rahuri, Ahmednagar, Maharashtra, India.
Andati, P., Majiwa, E., Ngigi, M., Mbeche, R., & Ateka, J. (2022). Determinants of adoption of climate smart agricultural technologies among potato farmers in Kenya: does entrepreneurial orientation play a role?. Sustainable Technology and Entrepreneurship, 1(2), 100017. https://doi.org/10.1016/j.stae.2022.100017
Atarodi, S., Berardi, A. M., & Toniolo, A. M. (2019). The Technology Acceptance Model Since 1986: Thirty Years of Development. Work and Organizational Psychology, 25(3), 191-207. https://doi.org/10.1016/j.pto.2018.08.001
Ayalew, A., & Girma, Y. (2025). The Effect of Age on Agricultural Technology Adoption by Smallholder Farmers in Ethiopia: A Systematic Review and Meta‐Analysis. Advances in Agriculture, 2025(1), 8881484. https://doi.org/10.1155/aia/8881484
Ayenew, W., Lakew, T., & Kristos, E. H. (2020). Agricultural technology adoption and its impact on smallholder farmers welfare in Ethiopia. African Journal of Agricultural Research, 15(3), 431-445. https://doi.org/10.5897/AJAR2019.14302
Ayisi, D. N., Kozári, J., & Krisztina, T. (2022). Do smallholder farmers belong to the same adopter category? An assessment of smallholder farmers innovation adopter categories in Ghana. Heliyon, 8(8). https://doi.org/10.1016/j.heliyon.2022.e10421
Bahadori, F., Abolfathi Momtaz, Y., Mohammadi Shahboulaghi, F. et Zandieh, Z. (2025). Evaluating the barriers to information and communication technology adoption among older adults in Iran. Educational Gerontology, 51(4), 438‑454. https://doi.org/10.1080/03601277.2024.2397575
Bai, H., Zhou, G., Hu, Y., Sun, A., Xu, X., Liu, X., Lu, C. (2017). Traceability technologies for farm animals and their products in China. Food Control 79, 35–43. https://doi.org/10.1016/j.foodcont.2017.02.040
Balafoutis, A., Beck, B., Fountas, S., Vangeyte, J., Wal, V.D., Soto, I., Gómez-Barbero, M., Barnes, A., Eory, V. (2017). Precision agriculture technologies positively contributing to ghg emissions mitigation, farm productivity and economics. https://doi.org/10.3390/su9081339
Baumüller, H. (2012). Facilitating agricultural technology adoption among the poor: The role of service delivery through mobile phones. ZEF Working Paper Series, ISSN 1864-6638. Center for Development Research, University of Bonn
Bellon-Maurel, V., Huyghe, C. (2016). Technological Innovation in Agriculture. Géoéconomie. 159– 180. https://doi.org/10.3917/geoec.080.0159
Benbasat et Barki (2007). Quo vadis TAM? Journal of the Association for Information Systems: Vol. 8: Iss. 4, Article 7. Available at: http://aisel.aisnet.org/jais/vol8/iss4/7
Berenstein, R., & Edan, Y. (2017). Automatic adjustable spraying device for site-specific agricultural application. IEEE Transactions on Automation Science and Engineering, 15(2), 641-650. https://doi.org/10.1109/TASE.2017.2656143
Bonnet, D. (2014). Stakeholders’ Perceptions and Strategic Analysis: The Case of an Agricultural Cooperative Consortium, Questioning Objectivity. (No. hal-01009232). Handle: RePEc:hal:journl:hal-01009232
Caffaro, F., Cremasco, M. M., Roccato, M., & Cavallo, E. (2020). Drivers of farmers’ intention to adopt technological innovations in Italy: The role of information sources, perceived usefulness, and perceived ease of use. Journal of Rural Studies, 76, 264-271. https://doi.org/10.1016/j.jrurstud.2020.04.028
Caneva C., 2019. Factors Influencing the Adoption or Rejection of Technologies among Teacher Educators: The Case of a Costa Rican University. https://doi.org/10.18162/ritpu-2019-v16n1-02
Cheikho A., 2015. The Adoption of Technological Innovations by Customers and Its Impact on Customer Relationships: The Case of Mobile Banking. Management and Business Administration. University of Nice Sophia Antipolis, 2015. French. ⟨NNT : 2015NICE0036⟩. ⟨tel-01231801⟩. https://doi.org/10.70675/b55303efz782cz4791zb7ffz71de98f65621
Cirera, X., Comin, D., & Cruz, M. (2022). Bridging the technological divide: Technology adoption by firms in developing countries. World Bank Publications.
Dehnen-Schmutz, K., Foster, G. L., Owen, L., & Persello, S. (2016). Exploring the role of smartphone technology for citizen science in agriculture. Agronomy for Sustainable Development,36(2), 1–8. https://doi.org/10.1007/s13593-016-0359-9
Agricultural Statistics Directorate (DSA) (2019). Crop Production Index from 2019 to 2021 in Benin. Agricultural Statistics Directorate (DSA), Ministry of Agriculture, Livestock and Fisheries (MAEP). Statistical Information Sheet on Pineapple. iNOQnBGuxhnNWnqiNwlF9YQX3eXLQXIjtqzoM0Vf.pdf (gouv.bj)
Agricultural Statistics Directorate (DSA), March 2024. Pineapple Producers in Benin. MAEP. Cotonou, Benin. April 2024. Cotonou, Benin. https://dsa.agriculture.gouv.bj
Dubois M., Bobillier-Chaumon M-E. (2009). Technology Acceptability: Reviews and New Perspectives, pages 305–310. https://doi.org/10.3917/th. 724.0305
FAO (2023). Crops and Livestock Products, Updated Online Database. https://www.fao.org/faostat/fr/#data/QCL.
Feng, J., Fu, Z., Wang, Z., Xu, M., Zhang, X. (2013). Development and evaluation on a RFID-based traceability system for cattle/beef quality safety in China. Food Control 31, 314–325. https://doi.org/10.1016/j.foodcont.2012.10.016
Gabriel, A., & Gandorfer, M. (2023). Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region. Precision Agriculture, 24(1), 68-91. https://doi.org/10.1007/s11119-022-09931-1
Gbedomon, R. C., Houngbo, S., & Thoto, S. F. (2023). Digital Agriculture and Climate Change Adaptation Profile: The Case of Benin. Research Report, African Centre for Equitable Development, Abomey-Calavi. 108p. https://doi.org/10.61647/aa84576
Hailemariam, A., Kalsi, J., & Mavisakalyan, A. (2024). Gender gaps in the adoption of climate‐smart agricultural practices: Evidence from sub‐S aharan A frica. Journal of Agricultural Economics, 75(2), 764-793. https://doi.org/10.1111/1477-9552.12583
Hailu, Berihun Kassa, Bihon Kassa Abrha, and Kibrom Aregawi Weldegiorgis. "Adoption and impact of agricultural technologies on farm income: Evidence from Southern Tigray, Northern Ethiopia." International Journal of Food and Agricultural Economics (IJFAEC) 2.4 (2014): 91-106. https://doi.org/10.22004/ag.econ.190816
Hanitravelo Justinia G.L. (2020). The Impact of Digital Technologies on Farms in France. Doctoral dissertation at the National Institute of Agricultural, Agri-Food, Horticultural, and Landscape Sciences (AGROCAMPUS OUEST).
Hsiao, C. H., & Yang, C. (2011). The intellectual development of the technology acceptance model : a co-citation analysis. International Journal of Information Management, 31, 128-136. https://doi.org/10.1016/j.ijinfomgt.2010.07.003
Hu, D., Jiao, J., Tang, Y., Xu, Y., & Zha, J. (2022). How global value chain participation affects green technology innovation processes: A moderated mediation model. Technology in Society, 68, 101916.
Hu, Y., Li, B., Zhang, Z., & Wang, J. (2022). Farm size and agricultural technology progress: Evidence from China. Journal of Rural Studies, 93, 417-429. https://doi.org/10.1016/j.jrurstud.2019.01.009
Hussain, A., Zhiqiang, M., Li, M., Jameel, A., Kanwel, S., Ahmad, S. et Ge, B. (2025). The mediating effects of perceived usefulness and perceived ease of use on nurses’ intentions to adopt advanced technology. BMC Nursing, 24(1), 33. https://doi.org/10.1186/s12912-024-02648-8
Issoufou, O. H., Boubacar, S., Adam, T., & Yamba, B. (2017). Determinants de l’adoption et impact des varietes ameliorees sur la p roductivite du mil au Niger. African Crop Science Journal, 25(2), 207-220. https://doi.org/10.4314/acsj.v25i2.6
Kabbiri, R., Dora, M., Kumar, V., Elepu, G., & Gellynck, X. (2018). Mobile phone adoption in agri-food sector: Are farmers in Sub-Saharan Africa connected?. Technological Forecasting and Social Change, 131, 253-261. https://doi.org/10.1016/j.techfore.2017.12.010
Kashina, E., Yanovskaya, G., Fedotkina, E., Tesalovsky, A., Vetrova, E., Shaimerdenova, A., & Aitkazina, M. (2022). Impact of Digital Farming on Sustainable Development and Planning in Agriculture and Increasing the Competitiveness of the Agricultural Business. International Journal of Sustainable Development & Planning, 17(8). https://doi.org/10.18280/ijsdp.170808
Kolady, D. E., Van der Sluis, E., Uddin, M. M., & Deutz, A. P. (2021). Determinants of adoption and adoption intensity of precision agriculture technologies: evidence from South Dakota. Precision Agriculture, 22(3), 689-710. https://doi.org/10.1007/s11119-020-09750-2
Kpènavoun, C. S., Dohou, S., Faladé, H., Soulé, A. H., & Ichola, J. (2014). Survey of Pineapple Producers and Processing Facilities in Benin. Rapport définitif. Cotonou: PADA.
Kuivanen, K. S., Alvarez, S., Michalscheck, M., Adjei-Nsiah, S., Descheemaeker, K., Mellon-Bedi, S., & Groot, J. C. J. (2016). Characterising the diversity of smallholder farming systems and their constraints and opportunities for innovation: A case study from the Northern Region, Ghana. NJAS- Wageningen Journal of Life Sciences, 78, 153–166. doi:10.1016/j.njas.2016.04.003.
Kuldybayev, N., Dutbayev, Y., Lozowicka, B., Slyamova, A., Tsygankov, V. (2021). Effects of root rot in soybean cultivars with diverse susceptibility to the disease on plant physiology, yield, amino acids and mycotoxins profile in climatic conditions of Kazakhstan. OnLine Journal of Biological Sciences, 21(4): 312-321. https://doi.org/10.3844/ojbsci.2021.312.321
Kurgat, B. K., Lamanna, C., Kimaro, A., Namoi, N., Manda, L., & Rosenstock, T. S. (2020). Adoption of Climate-Smart Agriculture Technologies in Tanzania. Frontiers in Sus tainable Food Systems, 4. doi:10.3389/fsufs.2020.00055.
Lajoie-O'Malley, A., Bronson, K., van der Burg, S., & Klerkx, L. (2020). The future (s) of digital agriculture and sustainable food systems: An analysis of high-level policy documents. Ecosystem Services, 45, 101183. https://doi.org/10.1016/j.ecoser.2020.101183
Lameski, P., Zdravevski, E., & Kulakov, A. (2018). Review of automated weed control approaches: An environmental impact perspective. In ICT Innovations 2018. Engineering and Life Sciences: 10th International Conference, ICT Innovations 2018, Ohrid, Macedonia, September 17–19, 2018, Proceedings 10 (pp. 132-147). Springer International Publishing.
Le Hoang Nguyen, L., Halibas, A., & Quang Nguyen, T. (2023). Determinants of precision agriculture technology adoption in developing countries: a review. Journal of Crop Improvement, 37(1), 1-24. https://doi.org/10.1080/15427528.2022.2080784
Li, B., Zhuo, N., Ji, C., & Zhu, Q. (2022). Influence of smartphone-based digital extension service on farmers’ sustainable agricultural technology adoption in China. International Journal of Environmental Research and Public Health, 19(15), 9639. https://doi.org/10.3390/ijerph19159639
Mango N., Makate C., Tamene L., Mponela P., Ndengu G. (2018). Adoption of Small-Scale Irrigation Farming as a Climate-Smart Practice and Its Influence on Household Income in the Chinyanja Triangle, Southern Africa, Land 2018,7,49. https://doi.org/10.3390/land7020049
Maula, I. M. (2025). Evaluation of the Effectiveness of Digital Training Program for Farmers in Increasing the Adoption of Modern Agricultural. Journal of Agricultural Economy and Technology Development, 2(1), 12-21. https://doi.org/10.59261/jaetd.v2i1.11
Melesse, B. (2018). A Review on Factors Affecting Adoption of Agricultural New Technologies in Ethiopia. J Agri Sci Food Res 2018, 9:3, 1-4.
Mhlanga, D., & Ndhlovu, E. (2023). Digital technology adoption in the agriculture sector: Challenges and complexities in Africa. Human Behavior and Emerging Technologies, 2023(1), 6951879. https://doi.org/10.1155/2023/6951879
Michels, M., Fecke, W., Feil, J. H., Musshoff, O., Pigisch, J., & Krone, S. (2020). Smartphone adoption and use in agriculture: empirical evidence from Germany. Precision Agriculture, 21, 403-425. https://doi.org/10.1007/s11119-019-09675-5
Ministry of Agriculture, Livestock, and Fisheries (MAEP) (2021). Trends in Pineapple Production. Database of the Agricultural Statistics Division (DSA) https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fapidsa.agriculture.gouv.bj%2Fpublic%2Fstorage%2Fuploads%2FJdHbfipqCoOYoOLFm1KIA2F0iIaqXOSWLuGyywQN.xlsx&wdOrigin=BROWSELINK
Muluki, K. M., Rasugu, M. H., Njeri, M. J., & Nyarindo, I. H. (2022). Factors influencing adoption of irrigation technologies among smallholder farmers in Machakos County, Kenya. Journal of Agricultural Extension, 26(3), 44-59. https://doi.org/10.4314/jae.v26i3.5
Mwangi, M., & Kariuki, S. (2015). Factors determining adoption of new agricultural technology by smallholder farmers in developing countries. Journal of Economics and sustainable development, 6(5). ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online)
National Institute of Statistics and Economic Analysis (INSAE) (2020). Benin’s National Accounts for the Fourth Quarter. INSAE, Benin. https://www.insae-bj.org/actualites/161- les-comptes-nationaux-du-4eme trimestre 2019.
National Institute of Statistics and Economic Analysis (INSAE) (2020). Benin’s National Accounts for the Fourth Quarter. INSAE, Benin. https://www.insae-bj.org/actualites/161- les-comptes-nationaux-du-4eme trimestre 2019.
Noble, R. W., Kwiatkowski, L. D., De Young, A., Davis, B. J., Haedrich, R. L., Tam, L. T., & Riggs, A. F. (1986). Functional properties of hemoglobins from deep-sea fish: correlations with depth distribution and presence of a swimbladder. Biochimica et Biophysica Acta (BBA)-Protein Structure and Molecular Enzymology, 870(3), 552-563. https://doi.org/10.1016/0167-4838(86)90265-7
Nugmanov, A.B., Mamikhin, S.V., Valiev, K.K., Bugubaeva, A.U., Tokusheva, A.S., Tulkubaeva, S.A., Bulaev, A.G. (2022). Poly-species phytocenoses for ecosystem restoration of degraded soil covers. OnLine Journal of Biological Sciences, 22(3): 268-278. https://doi.org/10.3844/ojbsci.2022.268.278
Nyagadza, B., Mazuruse, G., Rukasha, T., Mukarumbwa, P., Muswaka, C., & Shumbanhete, B. (2022). Rural small scale farmers’ smart mobile phone usage acceptance prognosticators for agricultural marketing information access. SN Social Sciences, 2(12), 256. https://doi.org/10.1007/s43545-022-00562-x
Ogutu, S. O., Okello, J. J., & Otieno, D. J. (2014). Impact of information and communication technology-based market information services on smallholder farm input use and productivity: The case of Kenya. World development, 64, 311-321. https://doi.org/10.1016/j.worlddev.2014.06.011
Osumanu, I. K., Aniah, P., & Yelfaanibe, A. (2017). Determinants of adaptive capacity to climate change among smallholder rural households in the Bongo district, Ghana. Ghana Journal of Development Studies, 14(2), 142-162. https://doi.org/10.4314/gjds.v14i2.8
Pongnumkul S., Chaovalit P., Surasvadi N. (2015) Applications of smartphone-based sensors in agriculture: a systematic review of research. J Sensors 2015:18. https://doi.org/10.1155/2015/195308
Poulton, C., Kydd, J. & Dorward, A. (2006). Overcoming Market Constraints on Pro-Poor Agricultural Growth in Sub-Saharan Africa. Development Policy Review, 24(3), pp.243–277. https://doi.org/10.1111/j.1467-7679.2006.00324.x
Pronti, A., Auci, S., & Mazzanti, M. (2020). What are the factors driving the adoption and intensity of sustainable irrigation technologies in Italy. CERCIS Work. Pap. Ser, 1-44. http://eco.unife.it/it/ricerca-imprese-territorio/centri-di-ricerca/cercis/papers
Rayhan, S. J., Rahman, M. S., & Lyu, K. (2023). The role of rural credit in agricultural technology adoption: The case of Boro rice farming in Bangladesh. Agriculture, 13(12), 2179. https://doi.org/10.3390/agriculture13122179
Riddell, W.C., Song, X. (2017). The role of education in technology use and adoption: evidence from the Canadian workplace and employee survey. ILR Review 70 (5), 1219–1253. https://nbn-resolving.de/urn:nbn:de:101:1-201206146529
Riddlesden D., Singleton A.D. (2014). Broadband speed equity: a new digital divide? Appl Geogr 52:25–33. https://doi.org/10.1016/j.apgeog.2014. 04.008
Rogers E. M., 1962. Diffusion of innovations (5e éd.). New York, NY : The Free Press.
Roussy, C., Ridier, A. et Chaib, K. 2015. Adoption d’innovations par les agriculteurs : rôle des perceptions et des préférences. Working Paper SMARTLERECO N°15-03. https://www6.rennes. inra.fr/smart/content/download/
Ruzzante, S., Labarta, R., Bilton, A. (2021). Adoption of agricultural technology in the developing world: a meta-analysis of the empirical literature. World Dev. 146, 105599. https://doi.org/10.1016/j.worlddev.2021.105599
Salazar, C., & Rand, J. (2016). Production risk and adoption of irrigation technology: evidence from small-scale farmers in Chile. Latin American Economic Review, 25(1), 2. https://doi.org/10.1007/s40503-016-0032-3
Schimmelpfennig, D. (2016). Farm profits and adoption of precision agriculture. United States Department of Agriculture, Economic Research Service, 1-47. https://doi.org/10.22004/ag.econ.249773
Sennuga, S. O., Ujoyi, S. A., Bamidele, J., Onjewu, S. S., Lai-Solarin, W. I., & Omole, A. A. (2023). Exploring the role of smart-phone apps for livestock farmers data management extension and informed decisionmaking in Nigeria. Int J Probiotics and Dietetics, 3(2), 46-53.
Serote, B., Mokgehle, S., Du Plooy, C., Mpandeli, S., Nhamo, L., & Senyolo, G. (2021). Factors influencing the adoption of climate-smart irrigation technologies for sustainable crop productivity by smallholder farmers in arid areas of South Africa. Agriculture, 11(12), 1222. https://doi.org/10.3390/agriculture11121222
Shchemeleva, G.V., Tsyndra, L.V., Yakovlev, M.A., Gavrilik, V.E., Karkhardin, I.V., Galeev, R.R., Petrov, A.F., Dobryanskaya, S.L. (2021). Effect of irrigation on maize (Zea mays) productivity and agrochemical indicators of leached chernozem in the forest-steppe in the Novosibirsk region. Research on Crops, 22: 759-763. https://doi.org/10.31830/2348-7542.2021.127
Sileshi, M., Kadigi, R., Mutabazi, K., & Sieber, S. (2019). Determinants for adoption of physical soil and water conservation measures by smallholder farmers in Ethiopia. International soil and water conservation research, 7(4), 354-361. https://doi.org/10.1016/j.iswcr.2019.08.002
Singh P.K., Patel S.K., Trivedi M.M., Patel G.R. (2015). Assessing the relative impacts of the factors affecting MIS adoption process, International Journal of Sustainable Development & World Ecology,22(3):213-218. https://doi.org/10.1080/13504509.2015.1025887
Sossa, E. L., Amadji, G. L., Vissoh, P. V., Hounsou, B. M., Agbossou, K. E., & Hounhouigan, D. J. (2014). Characterization of pineapple (Ananas comosus (L.) Merrill) cultivation systems on the Allada Plateau in southern Benin. International Journal of Biological and Chemical Sciences, 8(3), 1030-1038. http://dx.doi.org/10.4314/ijbcs.v8i3.17
Sossou, C. H. (2015). Agricultural Financing in Benin: Management and Adaptation Strategies for Farms. https://hdl.handle.net/2268/188999
Subaeva, A. K., Nizamutdinov, M. M., & Mavlieva, L. M. (2020). Changes of the agricultural staff potential in the transition to digital agriculture. In BIO Web of Conferences (Vol. 17, p. 00178). EDP Sciences. https://doi.org/10.1051/bioconf/20201700178
Tadesse, G., & Bahiigwa, G. (2015). Mobile phones and farmers’ marketing decisions in Ethiopia. World development, 68, 296-307. https://doi.org/10.1016/j.worlddev.2014.12.010
Tadesse, G., & Bahiigwa, G. (2015). Mobile phones and farmers’ marketing decisions in Ethiopia. World Development, 68, 296–307. https://doi.org/10.1016/j.worlddev.2014.12.010
Tanos, M., Man, N., & Nawi, N. (2024). Perceived ease of use, perceived usefulness, and intention to use e-commerce platforms by agribusiness owners in Malaysia: A review. International Journal of Academic Research in Business and Social Sciences, 14(2), 666-678. http://dx.doi.org/10.6007/IJARBSS/v14-i2/20488
Teklewold, H., Kassie, M. and Shiferaw, B. (2013) Adoption of multiple sustainable agricultural practices in rural Ethiopia. Journal of Agricultural Economics 64: 597-623. https://doi.org/10.1111/1477-9552.12011
Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the association for Information Systems, 17(5), 328-376.
Wheeler S., Bjornlund H., Olsen T., Klein K.K., Nicol L. (2010). Modelling the adoption of different types of irrigation water technology in Alberta, Canada, Sustainable Irrigation Management, Technologies and Policies, 3: 189-201.
Worl Bank (2020). World Development Report 2020 : Trading for Development in the Age of Global Value Chains. Washington, DC : World Bank.
Xie, L., Luo, B., & Zhong, W. (2021). How are smallholder farmers involved in digital agriculture in developing countries: a case study from China. Land, 10(3), 245. https://doi.org/10.3390/land10030245
Yabi, J. A., Bachabi, F. X., Labiyi, I. A., Ode, C. A., & Ayena, R. L. (2016). Socioeconomic Determinants of the Adoption of Soil Fertility Management Practices in the Municipality of Ouaké in Northwestern Benin. International Journal of Biological and Chemical Sciences, 10(2), 779-792. https://doi.org/10.4314/ijbcs.v10i2.27
Zhou, X., Chen, T., & Zhang, B. (2023). Research on the impact of digital agriculture development on agricultural green total factor productivity. Land, 12(1), 195. https://doi.org/10.3390/land12010195
Zodome, G., Salifou, A. et Yabi, I. (2020). Participatory Assessment of the Quality of Pineapples Grown with Various Types of Fertilizers in the Municipalities of Allada and Tori-Bossito. International Journals of Sciences and High Technologies, 23(1), 79‑87. http://ijpsat.ijsht-journals.org
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