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SOCIOLOGY

Determinants of adoption of sustainable agricultural practices among maize producers in Northern Uganda

ORCID Icon, ORCID Icon & ORCID Icon
Article: 2286034 | Received 08 Oct 2023, Accepted 16 Nov 2023, Published online: 13 Dec 2023

References

  • Abdallah, A.-H., & Abdul-Rahaman, A. (2019). Determinants of access to agricultural extension services: Evidence from smallholder rural women in Northern Ghana. Asian Journal of Agricultural Extension, Economics & Sociology, 9(3), 1–18. https://doi.org/10.9734/AJAEES/2016/23478
  • Acheampong, P. P., Addison, M., & Wongnaa, C. A. (2022). Assessment of impact of adoption of improved cassava varieties on yields in Ghana: An endogenous switching approach. Cogent Economics and Finance, 10(1). https://doi.org/10.1080/23322039.2021.2008587
  • Acheampong, E. O., Sayer, J., Macgregor, C. J., & Sloan, S. (2021). Factors influencing the adoption of agricultural practices in Ghana’s forest-fringe communities. Land, 10(3), 10–31. https://doi.org/10.3390/land10030266
  • AGRA. (2018). Assessment of fertilizer distribution systems and opportunities for developing fertilizer blends. US Aid, 3(1), 34–45. https://agra.org/wp-content/uploads/2020/08/Mozambique-Report_Assessment-of-Fertilizer-Distribution-Systems-and-Opportunities-for-Developing-Fertilizer-Blends.pdf
  • Ainembabazi, J. H., & Mugisha, J. (2014). The role of farming experience on the adoption of agricultural technologies: Evidence from smallholder farmers in Uganda. Journal of Development Studies, 50(5), 666–679. https://doi.org/10.1080/00220388.2013.874556
  • Akinwande, M. O., Dikko, H. G., & Samson, A. (2015). Variance inflation factor: As a condition for the inclusion of suppressor variable(s) in regression analysis. Open Journal of Statistics, 5(7), 754–767. https://doi.org/10.4236/ojs.2015.57075
  • Amankwah, A. (2023). Climate variability, agricultural technologies adoption, and productivity in rural Nigeria: A plot-level analysis. Agriculture and Food Security, 12(1), 1–16. https://doi.org/10.1186/s40066-023-00411-x
  • Anang, B. T. (2019, May). A probit analysis of the determinants of fertilizer adoption by cocoa farmers in a probit analysis of the determinants of fertilizer adoption by cocoa Farmers in Ghana. https://doi.org/10.9734/AJAEES/2016/21540
  • Arnab, R. (2017). Simple Random Sampling. Survey Sampling Theory and Applications, 51–88. https://doi.org/10.1016/b978-0-12-811848-1.00003-0
  • Arslan, A, McCarthy, N., Lipper, L., Asfaw, S., & Cattaneo, A. (2014). Adoption and intensity of adoption of conservation farming practices in Zambia. Agriculture, Ecosystems and Environment, 187, 72–86. https://doi.org/10.1016/j.agee.2013.08.017
  • Atube, F., Malinga, G. M., Nyeko, M., Okello, D. M., Alarakol, S. P., & Okello-Uma, I. (2021). Determinants of smallholder farmers’ adaptation strategies to the effects of climate change: Evidence from northern Uganda. Agriculture and Food Security, 10(1), 1–14. https://doi.org/10.1186/s40066-020-00279-1
  • Awuor, F. M., & Rambim, D. A. (2022). Adoption of ICT-in-agriculture innovations by smallholder farmers in Kenya. Technology and Investment, 13(3), 92–103. https://doi.org/10.4236/ti.2022.133007
  • Baglan, M., Zhou, X., Mwalupaso, G. E., & Xianhui, G. (2020). Adoption of certified seed and its effect on technical efficiency: Insights From Northern Kazakhstan. Journal of Agricultural Science, 12(3), 175. https://doi.org/10.5539/jas.v12n3p175
  • Basedau, M., Heyl, C., & Woertz, E. (2021). Population growth and security in Africa : Myth or underestimated risk ? January. https://pure.giga-hamburg.de/admin/files/23814628/GIGA_Population_Growth_Security_in_Africa_2021_02_16.pdf
  • Bayite-kasule, S. (2005). Inorganic fertilizer in Uganda—Knowledge gaps, profitability, subsidy, and implications of a national policy. IFPRI, 8, 8. https://www.academia.edu/76900597/Inorganic_fertilizer_in_Uganda_Knowledge_gaps_profitability_subsidy_and_implications_of_a_national_policy
  • Benitez-Altuna, F., Trienekens, J., Materia, V. C., & Bijman, J. (2021). Factors affecting the adoption of ecological intensification practices: A case study in vegetable production in Chile. Agricultural Systems, 194(September), 103283. https://doi.org/10.1016/j.agsy.2021.103283
  • Bilaliib Udimal, T., Jincai, Z., Mensah, O. S., & Caesar, A. E. (2017). Factors influencing the agricultural technology adoption: The case of improved rice varieties (Nerica) in the Northern Region, Ghana. Journal of Economics and Sustainable Development, 8(8), 2222. www.iiste.org
  • Chune, M. D., Takoy, M. M., & Peter, O. (2022). Analysis of technical efficiency and its determinants among Tobacco producers in Uganda : An application of data envelopment analysis. International Journal of Agricultural Research, Innovation and Technology, 12(1), 1–3. https://doi.org/10.3329/ijarit.v12i1.61027
  • Cochran, W. G. (1963). Sampling Techniques (2nd Ed) ed.), John Wiley and Sons, Inc.
  • Coulibaly, T. P., Du, J., & Diakité, D. (2021). Sustainable agricultural practices adoption. Agriculture (Pol’nohospodarstvo), 67(4), 166–176. https://doi.org/10.2478/agri-2021-0015
  • Danso-Abbeam, G., Bosiako, J. A., Ehiakpor, D. S., Mabe, F. N., & Aye, G. (2017). Adoption of improved maize variety among farm households in the northern region of Ghana. Cogent Economics and Finance, 5(1), 1416896. https://doi.org/10.1080/23322039.2017.1416896
  • David, I. I., & Abbyssinia, M. (2017). Factors affecting smallholder farmers’ perception regarding their use of soil conservation practices: Evidence from farming at Qamata irrigation scheme, South Africa. Journal of Human Ecology, 59(2–3), 82–91. https://doi.org/10.1080/09709274.2017.1353581
  • Dissanayake, C. A. K., Jayathilake, W., Wickramasuriya, H. V. A., Dissanayake, U., Kopiyawattage, K. P. P., Wasala, W. M. C. B., & Yan, Z. (2022). Theories and models of technology adoption in agricultural sector. Human Behavior and Emerging Technologies, 2022, 1–15. https://doi.org/10.1155/2022/9258317
  • Donkoh, S. A., & Awuni, J. A. (2015, November). Farmers ’ perceptions and adoption of improved farming techniques in low- land rice production in Northern Ghana. Assembly, 1–16. https://www.semanticscholar.org/paper/FARMERS%E2%80%99-PERCEPTIONS-AND-ADOPTION-OF-IMPROVED-IN-IN-Donkoh-Awuni/d0a6c3c7d0a520d7fc15a801f9a9dc21a52026b6
  • Ekanem, J. T., Umoh, I. M., & Bassey, E. M. (2020, November). Adoption of Improved Maize Production Technologies in Punjab Province, Pakistan. Journal of Agricultural Extension, 24 (4), 1–4. https://doi.org/10.4314/jae.v24i4.1
  • Ekepu, D., & Tirivanhu, P. (2016). Assessing socio-economic factors influencing adoption of legume-based multiple cropping systems among smallholder sorghum farmers in Soroti, Uganda. South African Journal of Agricultural Extension (SAJAE), 44(2). https://doi.org/10.17159/2413-3221/2016/v44n2a421
  • Epule, T. E., Dhiba, D., Etongo, D., Peng, C., & Lepage, L. (2021). Identifying maize yield and precipitation gaps in Uganda. SN Applied Sciences, 3(5), 1–12. https://doi.org/10.1007/s42452-021-04532-5
  • Feliciano, D. (2022). Factors influencing the adoption of sustainable agricultural practices: The case of seven horticultural farms in the United Kingdom. Scottish Geographical Journal, 138(3–4), 291–320. https://doi.org/10.1080/14702541.2022.2151041
  • Feyisa, B. W. (2020). Determinants of agricultural technology adoption in Ethiopia: A meta-analysis. Cogent Food and Agriculture, 6(1), 1855817. https://doi.org/10.1080/23311932.2020.1855817
  • Gebeyehu, M. G. (2016). The impact of technology adoption on agricultural productivity and production risk in Ethiopia: Evidence from Rural Amhara Household Survey. OALib, 3(2), 1–14. https://doi.org/10.4236/oalib.1102369
  • Gebeyehu, M. G. (2019). Effect of credit constraints on intensity of fertilzer adoption and agriclutural productivity In Amhara Region, Ethiopia: An endogenous switching regression analysis. Eastern Africa Social Science Research Review, 35(1–2), 65–100. https://doi.org/10.1353/eas.2019.0002
  • Gebre, G. G., Isoda, H., Rahut, D. B., Amekawa, Y., & Nomura, H. (2019). Gender differences in the adoption of agricultural technology: The case of improved maize varieties in southern Ethiopia. Women’s Studies International Forum, 76(March), 102264. https://doi.org/10.1016/j.wsif.2019.102264
  • Guddanti, N. (2015). Impact of Good Agricultural Practices (GAP) on Small Farm Development: Knowledge and Adoption levels of Farm Women of Rainfed Areas Development of Inventory of Technologies for Livestock Production for counteracting seasonal stress in rainfed areas View p. Article in Indian Research Journal of Extension Education, October. https://www.researchgate.net/publication/283298351
  • Hakim, R., Haryanto, T., & Sari, D. W. (2021). Technical efficiency among agricultural households and determinants of food security in East Java, Indonesia. Scientific Reports, 11(1), 1–9. https://doi.org/10.1038/s41598-021-83670-7
  • Heijnen, J. H., Jussi, H., Steiner, A., Abiko, T., Obara, M., Ushioda, A., Hayakawa, T., Hodges, M., Yamaya, T., Amin, S., & Snidal, D.; Dissertation, B. A., In, S., Of, F., Requirements, T. H. E., The, F. O. R., Of, A. A., Doctor, T. H. E., … Hinsley, F. (2013). Impact of earned and unearned off-farm income on adoption of new technologies. SSRN Electronic Journal, 1, 2, 99–117. شماره 8; ص: http://www.eldis.org/vfile/upload/1/document/0708/DOC23587.pdf%0Ahttp://socserv2.socsci.mcmaster.ca/~econ/ugcm/3ll3/michels/polipart.pdf%0Ahttps://www.theatlantic.com/magazine/archive/1994/02/the-coming-anarchy/304670/%0Ahttps://scholar.google.it/scholar?.
  • Hilton, C. E. (2017). The importance of pretesting questionnaires: A field research example of cognitive pretesting the Exercise referral Quality of Life Scale (ER-QLS). International Journal of Social Research Methodology, 20(1), 21–34. https://doi.org/10.1080/13645579.2015.1091640
  • Hu, Y., Li, B., Zhang, Z., & Wang, J. (2022). Farm size and agricultural technology progress: Evidence from China. Journal of Rural Studies, 93(2), 417–429. https://doi.org/10.1016/j.jrurstud.2019.01.009
  • Issa, F. O., Kagbu, J. H., & Abdulkadir, S. A. (2017). Analysis of socio-economic factors influencing farmers’ adoption of improved maize production practices in Ikara Local Government Area of Kaduna State, Nigeria. Agrosearch, 16(2), 15. https://doi.org/10.4314/agrosh.v16i2.3
  • Jaza, F. A. J., Tsafack, P. P., & Kamajou, F. (2018). Logit model of analysing the factors affecting the adoption of goat raising activity by farmers in the non-pastoral centre region of Cameroon. Tropicultura, 36(1), 54–62. https://doi.org/10.25518/2295-8010.976
  • Jimi, N. A., Nikolov, P. V., Malek, M. A., & Kumbhakar, S. (2019). The effects of access to credit on productivity: Separating technological changes from changes in technical efficiency. Journal of Productivity Analysis, 52(1–3), 37–55. https://doi.org/10.1007/s11123-019-00555-8
  • Jin, Y., Lin, Q., & Mao, S. (2022). Tanzanian Farmers’ Intention to Adopt Improved Maize Technology: Analyzing Influencing Factors Using SEM and fsQCA Methods. Agriculture (Switzerland), 12(12). https://doi.org/10.3390/agriculture12121991
  • Joseph, S. K. (2017). Adoption of integrated soil fertility management technologies and its effect on maize productivity: A case of the legume best bets project In Mkanakhoti extension planning area of Kasungu District in Central Malawi. IDEAS. https://doi.org/10.22004/ag.econ.265581
  • Kaliba, A. R., Gongwe, A. G., Mazvimavi, K., & Yigletu, A. (2021). Impact of adopting improved seeds on access to broader food groups among small-scale sorghum producers in Tanzania. SAGE Open, 11(1), 215824402097999. https://doi.org/10.1177/2158244020979992
  • Kalinda, T., Tembo, G., & Kuntashula, E. (2014). Adoption of Improved Maize Seed Varieties in Southern Zambia. Asian Journal of Agricultural Sciences, 6(1), 33–39. https://doi.org/10.19026/ajas.6.4851
  • Kenamu, E., & Maguza-tembo, F. (2016). Adoption drivers and its intensity on smallholder goat farming in Southern Malawi. 7(14), 54–62. https://doi.org/10.13140/RG.2.1.5050.3284
  • Ketema, M., & Kebede, D. (2017). Adoption intensity of inorganic fertilizers in maize production: Empirical evidence from smallholder Farmers in Eastern Ethiopia. Journal of Agricultural Science, 9(5), 124. https://doi.org/10.5539/jas.v9n5p124
  • Kwawu, J. D., Sarpong, D. B., & Agyire-Tettey, F. (2021). Technology adoption intensity and technical efficiency of maize farmers in the Techiman municipality of Ghana. African Journal of Science, Technology, Innovation and Development, 1–14. https://doi.org/10.1080/20421338.2020.1866145
  • Lemma, D. H., & Degefa, T. D. (2023). Factors affecting improved agricultural technologies adoption logistic model in study areas In East Shewa Zone, Ethiopia. Journal of Sustainable Development in Africa, 25(1), 31–41. https://www.jsd-africa.com/Jsda/2023V25NO1Spring/FactorsAffectingImproved-Agricultural_LemmaDugo.pdf
  • MAAIF. (2017). The Republic of Uganda Ministry of Agriculture, Animal Industries and Fisheries. Performance Review Report, 150. https://www.agriculture.go.ug/
  • MAAIF. (2020). The Republic of Uganda Ministry of Agriculture, Animal Industry and Fisheries, Draft Annual Report, 1–150 (October), 150. https://docs.wfp.org/api/documents/WFP-0000125436/download/
  • Makate, C., Makate, M., Mutenje, M., Mango, N., & Siziba, S. (2019). Synergistic impacts of agricultural credit and extension on adoption of climate-smart agricultural technologies in Southern Africa. Environmental Development, 32(September), 100458. https://doi.org/10.1016/j.envdev.2019.100458
  • Massresha, S. E., Lema, T. Z., Neway, M. M., Degu, W. A., & Shafiullah, M. (2021a). Perception and determinants of agricultural technology adoption in North Shoa Zone, Amhara Regional State, Ethiopia. Cogent Economics and Finance, 9(1). https://doi.org/10.1080/23322039.2021.1956774
  • Massresha, S. E., Lema, T. Z., Neway, M. M., Degu, W. A., & Shafiullah, M. (2021b). Perception and determinants of agricultural technology adoption in North Shoa Zone, Amhara Regional State, Ethiopia. Cogent Economics and Finance, 9(1). https://doi.org/10.1080/23322039.2021.1956774
  • Mastenbroek, A., Sirutyte, I., & Sparrow, R. (2021). Information barriers to adoption of agricultural technologies: Willingness to pay for certified seed of an open pollinated maize variety in Northern Uganda. Journal of Agricultural Economics, 72(1), 180–201. https://doi.org/10.1111/1477-9552.12395
  • Mekuria, W., & Mekonnen, K. (2018). Determinants of crop-livestock diversification in the mixed farming systems: Evidence from central highlands of Ethiopia. Agriculture and Food Security, 7(1), 1–15. https://doi.org/10.1186/s40066-018-0212-2
  • Mugisha, J., & Diiro, G. (2010). Explaining the adoption of improved maize varieties and its effects on yields among smallholder maize farmers in Eastern and Central Uganda. Middle-East Journal of Scientific Research, 5(1), 6–13. https://api.semanticscholar.org/CorpusID:154757660
  • Mulumba, L. N., & Lal, R. (2008). Mulching effects on selected soil physical properties. Soil and Tillage Research, 98(1), 106–111. https://doi.org/10.1016/j.still.2007.10.011
  • Muzari, W., Gatsi, W., & Muvhunzi, S. (2012). The impacts of technology adoption on smallholder agricultural productivity in Sub-Saharan Africa: A Review. Journal of Sustainable Development, 5(8), 69–77. https://doi.org/10.5539/jsd.v5n8p69
  • Mwangi, M., & Kariuki, S. (2015). Factors determining adoption of new agricultural technology by smallholder farmers in developing countries, 6(5), 2222. www.iiste.org
  • Mwaura, G. G., Kiboi, M. N., Bett, E. K., Mugwe, J. N., Muriuki, A., Nicolay, G., & Ngetich, F. K. (2021). Adoption intensity of selected organic-based soil fertility management technologies in the central highlands of Kenya. Frontiers in Sustainable Food Systems, 4(January), 1–17. https://doi.org/10.3389/fsufs.2020.570190
  • Nagar, A., Nauriyal, D. K., & Singh, S. (2021). Determinants of farmers’ access to extension services and adoption of technical inputs: Evidence from India. Universal Journal of Agricultural Research, 9(4), 127–137. https://doi.org/10.13189/ujar.2021.090404
  • Nagawa, V., Wasswa, F., & Bbaale, E. (2020). Determinants of gross domestic savings in Uganda: An autoregressive distributed lag (ARDL) approach to cointegration. Journal of Economic Structures, 9(1), 1–19. https://doi.org/10.1186/s40008-020-00209-1
  • Namome, C. (2018). The economics of tobacco production and feasible alternatives in Uganda. Agricultural and Food Economics, 2(1), 302. https://doi.org/10.1017/9781108656184.0037378478907
  • Neway, M. M., & Zegeye, M. B. (2022). Gender differences in the adoption of agricultural technology in North Shewa Zone, Amhara Regional State, Ethiopia. Cogent Social Sciences, 8(1). https://doi.org/10.1080/23311886.2022.2069209
  • Ngoma, H., Mulenga, B. P., & Jayne, T. S. (2016). Minimum tillage uptake and uptake intensity by smallholder farmers in Zambia. African Journal of Agricultural and Resource Economics, 11(4), 18. http://ageconsearch.umn.edu
  • Nzeyimana, I., Hartemink, A. E., Ritsema, C., Stroosnijder, L., Lwanga, E. H., & Geissen, V. (2017). Mulching as a strategy to improve soil properties and reduce soil erodibility in coffee farming systems of Rwanda. Catena, 149, 43–51. https://doi.org/10.1016/j.catena.2016.08.034
  • Obisesan, A. (2014). Gender differences in technology adoption and welfare impact among Nigerian Farming Households. IDEAS Working Paper Series from RePEc; St. Louis, 58920, 1–22. https://search-proquest-com.kuleuven.ezproxy.kuleuven.be/docview/1700391295?rfr_id=info%3Axri%2Fsid%3Aprimo
  • Ogada, M. J., Mwabu, G., & Muchai, D. (2014). Farm technology adoption in Kenya: A simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions. Agricultural and Food Economics, 2(1). https://doi.org/10.1186/s40100-014-0012-3
  • Okonji, C. J., & Awolu, O. T. (2020). Factors Influencing Adoption of Improved Technology Among Maize. Agrosearch, 20(2), 102–112. https://doi.org/10.4314/agrosh.v20i2.8
  • Olasunkanmi, N. O., Ogunwande, I. O., Thompson, O. A., Afolabi, J. A., & Sofoluwe, N. A. (2022). Determinants of adoption of integrated pest management practices among Maize Farmers in Southwest Nigeria. Contemporary Agriculture, 71(1–2), 73–80. https://doi.org/10.2478/contagri-2022-0011
  • Opolot, H. N., Isubikalu, P., Obaa, B. B., & Ebanyat, P. (2018). Influence of university entrepreneurship training on farmers’ competences for improved productivity and market access in Uganda. Cogent Food & Agriculture, 4(1), 1469211. https://doi.org/10.1080/23311932.2018.1469211
  • Ouko, K. O., Ogola, R. J. O., Oketch, M. O., Midamba, D. C., Ogweno, P. O., Nyangweso, G. N., Mutonyi, J., Ng’ong’a, C. A., & Muteti, F. N. (2022). Socio-economic Determinants of Sugarcane-Soybean Intercropping among Smallholder Farmers in Awendo Sub-County, Kenya. Asian Journal of Agricultural Extension, Economics & Sociology, 40(11), 373–388. https://doi.org/10.9734/AJAEES/2022/v40i111724
  • Oyetunde-Usman, Z., Olagunju, K. O., & Ogunpaimo, O. R. (2021). Determinants of adoption of multiple sustainable agricultural practices among smallholder farmers in Nigeria. International Soil and Water Conservation Research, 9(2), 241–248. https://doi.org/10.1016/j.iswcr.2020.10.007
  • Paltasingh, K. R. (2016). Role of Education in Technology Adoption:Evidence from Paddy Growers in Odisha. Artha Vijnana: Journal of the Gokhale Institute of Politics and Economics, 58(1), 1. https://doi.org/10.21648/arthavij/2016/v58/i1/121263
  • Paltasingh, K. R., & Goyari, P. (2018). Impact of farmer education on farm productivity under varying technologies: Case of paddy growers in India. Agricultural and Food Economics, 6(1). https://doi.org/10.1186/s40100-018-0101-9
  • Perosa, B., Newton, P., & Carrer, M. J. (2021). Access to information affects the adoption of integrated systems by farmers in Brazil. Land Use Policy, 106(June 2020), 105459. https://doi.org/10.1016/j.landusepol.2021.105459
  • Pham, H. G., Chuah, S. H., & Feeny, S. (2021). Factors affecting the adoption of sustainable agricultural practices: Findings from panel data for Vietnam. Ecological Economics, 184(February 2020), 107000. https://doi.org/10.1016/j.ecolecon.2021.107000
  • Place, F., Barrett, C. B., Freeman, H. A., Ramisch, J. J., & Vanlauwe, B. (2003). Prospects for integrated soil fertility management using organic and inorganic inputs: Evidence from smallholder African agricultural systems. Food Policy, 28(4), 365–378. https://doi.org/10.1016/j.foodpol.2003.08.009
  • Prokopy, L. S., Floress, K., Arbuckle, J. G., Church, S. P., Eanes, F. R., Gao, Y., Gramig, B. M., Ranjan, P., & Singh, A. S. (2019). Adoption of agricultural conservation practices in the United States: Evidence from 35 years of quantitative literature. Journal of Soil and Water Conservation, 74(5), 520–534. https://doi.org/10.2489/jswc.74.5.520
  • Rapsomanikis, G. (2015). The economic lives of smallholder farmers. FAO, Food and Agriculture Organization of the United Nations, 39. www.fao.org/publications
  • Ray, P. (2020). Socio-Economic Characteristics of Farmers on Access to Agricultural Credit in Tripura. International Journal of Inclusive Development, 6(1). https://doi.org/10.30954/2454-4132.1.2020.3
  • Regassa, M. D., Degnet, M. B., & Melesse, M. B. (2023). Access to credit and heterogeneous effects on agricultural technology adoption: Evidence from large rural surveys in Ethiopia. Canadian Journal of Agricultural Economics, 71(2), 231–253. https://doi.org/10.1111/cjag.12329
  • Roztocki, N., Soja, P., & Weistroffer, H. R. (2019). The role of information and communication technologies in socioeconomic development: Towards a multi-dimensional framework*. Information Technology for Development, 25(2), 171–183. https://doi.org/10.1080/02681102.2019.1596654
  • Scott, S. D., Plotnikoff, R. C., Karunamuni, N., Bize, R., & Rodgers, W. (2008). Factors influencing the adoption of an innovation: An examination of the uptake of the Canadian Heart Health Kit (HHK). Implementation Science, 3(1), 1–8. https://doi.org/10.1186/1748-5908-3-41
  • Sedgwick, P. (2015). Multistage sampling. BMJ (Online), 351(July). https://doi.org/10.1136/bmj.h4155
  • Shee, A., Mayanja, S., Simba, E., Stathers, T., Bechoff, A., & Bennett, B. (2019). Determinants of postharvest losses along smallholder producers maize and Sweetpotato value chains: An ordered Probit analysis. Food Security, 11(5), 1101–1120. https://doi.org/10.1007/s12571-019-00949-4
  • Sinyolo, S., & Mudhara, M. (2018). Farmer groups and inorganic fertiliser use among smallholders in rural South Africa. South African Journal of Science, 114(5–6. https://doi.org/10.17159/sajs.2018/20170083
  • Sugri, I., Abubakari, M., Owusu, R. K., & Bidzakin, J. K. (2021). Postharvest losses and mitigating technologies: Evidence from Upper East Region of Ghana. Sustainable Futures, 3(December 2020), 100048. https://doi.org/10.1016/j.sftr.2021.100048
  • Takahashi, K., Muraoka, R., & Otsuka, K. (2020). Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature. Agricultural Economics (United Kingdom), 51(1), 31–45. https://doi.org/10.1111/agec.12539
  • Temu, K. S. M., & E, A. (2008). Access to Credit and its Effect on the Adoption of Agricultural Technologies: The Case of Zanzibar. African Review of Money Finance and Banking, 45–89. http://www.jstor.org/stable/41410533
  • Thakur, N., Nigam, M., Mann, N. A., Gupta, S., Hussain, C. M., Shukla, S. K., Shah, A. A., Casini, R., Elansary, H. O., & Khan, S. A. (2023). Host-mediated gene engineering and microbiome-based technology optimization for sustainable agriculture and environment. Functional and Integrative Genomics, 23(1), 1–26. https://doi.org/10.1007/s10142-023-00982-9
  • Tipi, T., Yildiz, N., Nargeleçekenler, M., & Çetin, B. (2009). Measuring the technical efficiency and determinants of efficiency of rice (Oryza sativa) farms in Marmara region, Turkey. New Zealand Journal of Crop and Horticultural Science, 37(2), 121–129. https://doi.org/10.1080/01140670909510257
  • Tipi, T., Yildiz, N., Nargeleçekenler, M., & Çetin, B. (2010). Measuring the technical efficiency and determinants of efficiency of rice (Oryza sativa) farms in Marmara region, Turkey. New Zealand Journal of Crop and Horticultural Science , 0671. https://doi.org/10.1080/01140670909510257
  • Tobin, J. (1958). Estimation of Relationships for Limited Dependent Variables. Econometrica, 26(1), 24–36. https://doi.org/10.2307/1907382
  • Tubert-Brohman, Nursalam, I., Sherman, W., Repasky, M., & Beuming, T. (2013). Potential for organic and inorganic fertilization for sustainable coffee production in Uganda. Journal of Chemical Information and Modeling, 53(9), 1689–1699. https://doi.org/10.1017/CBO9781107415324.004
  • UBOS. (2017). Area specific profiles Kamuli District. The National Population and Housing Census 2014. April. https://www.ubos.org/wp-content/uploads/publications/2014CensusProfiles/KAMULI.pdf
  • UBOS. (2018a). Annual Agricultural Survey 2018 Statistical Release (pp. 4). https://www.ubos.org/wp-content/uploads/publications/Annual%20Agricultural%20Survey%202018%20Statistical%20Release%20May%202020.pdf
  • UBOS. (2018b). The 2018 Statistical report. 345. https://www.ubos.org/wp-content/uploads/publications/05_2019STATISTICAL_ABSTRACT_2018.pdf
  • UBOS. (2018c). Uganda National Household Survey Report 2016/2017. 2018 3. http://www.ubos.org
  • UBOS. (2020). Uganda bureau of statistics 2020 statistical abstract. Ubos. https://www.ubos.org/wp-content/uploads/publications/11_2020STATISTICAL__ABSTRACT_2020.pdf
  • Uganda Bureau of Statistics (UBOS). (2022). Statistical Abstract 2022. Uganda Bureau of Statistics Statistics, 1–336. http://www.ubos.org/onlinefiles/uploads/ubos/pdf documents/abstracts/Statistical Abstract 2013.pdf
  • UNDESA. (2015). Population 2030: Demographic challenges and opportunities for sustainable development planning (ST/ESA/SER.A/389). United Nations, 58. http://www.un.org/en/development/desa/population/publications/pdf/trends/Population2030.pdf
  • United Nations. (2021). Population, food security, nutrition and sustainable development. Fifty Fourth Session, February, 1–20. https://www.un.org/development/desa/dpad/wp-content/uploads/sites/45/publication/PB_102.pdf
  • Wordofa, M. G., Hassen, J. Y., Endris, G. S., Aweke, C. S., Moges, D. K., & Rorisa, D. T. (2021). Adoption of improved agricultural technology and its impact on household income: A propensity score matching estimation in eastern Ethiopia. Agriculture and Food Security, 10(1), 1–12. https://doi.org/10.1186/s40066-020-00278-2
  • Workineh, A., Tayech, L., & Ehite, H. K. (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
  • World Bank. (2023). Global Market Outlook: Trends in Global Agricultural Commodity Prices Food Price Inflation Dashboard (Update March 23, 2023). 2021(January 2021). 1–23. https://www.worldbank.org/
  • Xu, Z., Li, J., & Ma, J. (2022). Impacts of extension contact on the adoption of formulated fertilizers and farm performance among large-scale farms in Rural China. Land, 11(11), 1974. https://doi.org/10.3390/land11111974
  • Yarnell, A. (2008). Feeding Africa. Chemical and Engineering News, 86(4), 74. https://doi.org/10.1021/cen-v086n004.p074
  • Zegeye, M. B., Fikire, A. H., & Meshesha, G. B. (2022). Determinants of multiple agricultural technology adoption: Evidence from rural Amhara region, Ethiopia. Cogent Economics and Finance, 10(1). https://doi.org/10.1080/23322039.2022.2058189