The agricultural sector is increasingly becoming knowledge-intensive as farm automation is significantly improving the productivity of these farms. High-tech developments in agriculture offer vast possibilities for entrepreneurs, agriculturalists, and investors to ameliorate the productivity and efficiency of agriculture at a time when several issues, such as drought, emerging diseases, fertilizer dependency, and global warming, are threatening food security. While there have been significant innovations and increased adoption of ICTs in agriculture, it is arguable that this has not been reflected in agricultural productivity as much. In improving agricultural output, farmers need access to timely, accurate, relevant, and consumable information in relation to their farming activities. In this regard, this paper seeks to identify and demonstrate the role of digital applications in improving agricultural productivity and output, and to review the E-agriculture frameworks supporting the design and development of these digital solutions for improving agricultural productivity.
Adeyemo, T. A., & Okoruwa, V. O. (2018). Value Addition and Productivity Differentials in the Nigerian Cassava System. Sustainability, 10, Article 4770. https://doi.org/10.3390/su10124770
Ahmad, I., Singh, A., Fahad, M., & Waqas, M. M. (2020). Remote Sensing-Based Framework to Predict and Assess the Interannual Variability of Maize Yields in Pakistan Using Landsat Imagery. Computers and Electronics in Agriculture, 178, Article ID: 105732. https://doi.org/10.1016/j.compag.2020.105732
Aker, J. C., & Mbiti, I. M. (2010). Mobile Phones and Economic Development in Africa. Journal of Economic Perspectives, 24, 207-232. https://doi.org/10.1257/jep.24.3.207
Amadu, F. O., McNamara, P. E., Davis, K. E., & Rodriguez, L. (2015). Community Knowledge Workers for Rural Advisory Services. Good Practice Notes for Extension and Advisory Services. GFRAS Global Forum for Rural Advisory Services Working Paper No. 14, Lindau, Switzerland.
Anyan, F. Y., & Frempong, G. (2018). An Investigation into Barriers That Hinder the Effective Use of ICT in Farming by Small Scale Farmers in Asuogyaman District, Ghana. International Journal of Humanities, Social Sciences and Education, 5, 23-32.
Asenso-Okyere, K., & Mekonnen, D. A. (2012). The Importance of ICTs in the Provision of Information for Improving Agricultural Productivity and Rural Incomes in Africa. UNDP Working Paper No. 051, Addis Ababa, Ethiopia. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.953.139&rep=rep1&type=pdf
Awuor, F., Raburu, G., Onditi, A. A., & Rambim, D. (2016). Building E-Agriculture framework in Kenya. Journal of Agricultural Informatics, 7, 75-93. https://doi.org/10.17700/jai.2016.7.1.244
Baumüller, H. (2018). The Little We Know: An Exploratory Literature Review on the Utility of Mobile Phone-Enabled Services for Smallholder Farmers. Journal of International Development, 30, 134-154. https://doi.org/10.1002/jid.3314
Birthal, P. S. (2013). Application of Frontier Technologies for Agricultural Development. Indian Journal of Agricultural Economics, 68, 20-38.
Bruinsma, J. (2017). World Agriculture: Towards 2015/2030: An FAO Study. Routledge. https://doi.org/10.4324/9781315083858
Burgess, R., & Pande, R. (2005). Do Rural Banks Matter? Evidence from the Indian Social Banking Experiment. American Economic Review, 95, 780-795. https://doi.org/10.1257/0002828054201242
Chavula, H. K. (2014). The Role of ICTs in Agricultural Production in Africa. Journal of Development and Agricultural Economics, 6, 279-289. https://doi.org/10.5897/JDAE2013.0517
Conceição, P., Levine, S., Lipton, M., & Warren-Rodríguez, A. (2016). Toward a Food Secure Future: Ensuring Food Security for Sustainable Human Development in Sub-Saharan Africa. Food Policy, 60, 1-9.
Dlodlo, N., & Kalezhi, J. (2015). The Internet of Things in Agriculture for Sustainable Rural Development. In 2015 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) (pp. 13-18). IEEE. https://doi.org/10.1109/ETNCC.2015.7184801
Driouchi, A., & Zouag, N. (2010). Internal Mobility and Likelihood of Skill Losses in Localities of Emigration: Theory and Preliminary Empirical Application to Some Developing Economies.
Dubey, S., Pandey, R. K., & Gautam, S. S. (2013). Web Based Multimedia Bilingual Expert System for Chickpea Cultivation. International Journal of Innovative Technology and Exploring Engineering, 2, 45-47. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.673.9411&rep=rep1&type=pdf
Evenson, R. E., & McKinsey, J. W. (2019). Research, Extension, Infrastructure, and Productivity Change in Indian Agriculture. In Research and Productivity in Asian Agriculture (pp. 158-184). Cornell University Press. https://doi.org/10.7591/9781501734328-007
FAO (2009). Information and Communication Technology (ICT) in Agriculture: A Report to the G20 Agricultural Deputies.
FAO (2015). World Programme for the Census of Agriculture 2020. Volume 1: Programme, Concepts and Definitions. Rome.
Gandhi, N., & Armstrong, L. J. (2016). A Review of the Application of Data Mining Techniques for Decision Making in Agriculture. 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) (pp. 1-6). IEEE. https://doi.org/10.1109/IC3I.2016.7917925
Gangopadhyay, P. K., Khatri-Chhetri, A., Shirsath, P. B., & Aggarwal, P. K. (2019). Spatial Targeting of ICT-Based Weather and Agro-Advisory Services for Climate Risk Management in Agriculture. Climatic Change, 154, 241-256. https://doi.org/10.1007/s10584-019-02426-5
Halewood, N. J., & Surya, P. (2012). Mobilizing the Agricultural Value Chain. In Information and Communications for Development 2012: Maximizing Mobile (pp. 31-42). https://doi.org/10.1596/9780821389911_ch02
Huber, R., Bakker, M., Alfons, B., et al. (2018). Representation of Decision-Making in European Agricultural Agent-Based Models. Agricultural Systems, 167, 143-160. https://doi.org/10.1016/j.agsy.2018.09.007
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L. A., Wilkens, P.W., Singh, U., Gijsman, A.J., & Ritchie, J. T. (2003). The DSSAT Cropping System Model. European Journal of Agronomy, 18, 235-265. https://doi.org/10.1016/S1161-0301(02)00107-7
Kante, M., Oboko, R., & Chepken, C. (2019). An ICT Model for Increased Adoption of Farm Input Information in Developing Countries: A Case in Sikasso, Mali. Information Processing in Agriculture, 6, 26-46.
Kenya Agricultural & Livestock Research Organization (KARLO) (2017). http://www.kalro.org/
Lohento, K., & Ajilore, O. (2015). ICT and Youth in Agriculture. In Africa Agriculture Status Report (pp. 118-142). AGRA.
Lubua, E. W. (2022). The Impact of Technical Competency, Experience and Communication Skills on the Level of ICT Innovation in Tanzania. University of Dar es Salaam Library Journal, 17, 3-17. https://doi.org/10.4314/udslj.v17i1.2
Mahindarathne, M. G. P. P., & Min, Q. F. (2018). Developing a Model to Explore the Information Seeking Behaviour of Farmers. Journal of Documentation, 74, 781-803. https://doi.org/10.1108/JD-04-2017-0065
Masinde, M., Antoine, B., & Victor, M. (2010). MobiGrid: A Middleware for Integrating Mobile Phone and Grid Computing. In 2010 International Conference on Network and Service Management (pp. 523-526). IEEE. https://doi.org/10.1109/CNSM.2010.5691284
Mittal, S., Gandhi, S., & Tripathi, G. (2010). Socio-Economic Impact of Mobile Phones on Indian Agriculture (No. 246). Working Paper.
Msoffe, G. E. P., & Ngulube, P. (2016) Agricultural Information Dissemination in Rural Areas of Developing Countries: A Proposed Model for Tanzania. African Journal of Library, Archives & Information Science, 26, 167-187.
Muto, M., & Yamano, T. (2019). The Impact of Mobile Phone Coverage Expansion on Market Participation: Panel Data Evidence from Uganda. World Development, 37, 1887-1896. https://doi.org/10.1016/j.worlddev.2009.05.004
Nwafor, C. (2020). An Integrated Conceptual Framework for ICT-Based Market Information Source Adoption among Smallholder Farmers. Preprints, 2020, 2020030163. https://doi.org/10.20944/preprints202003.0163.v1
Ommani, A. R., & Chizari, M. (2008). Information Dissemination System (IDS) Based E-Learning in Agricultural of Iran (Perception of Iranian Extension Agents). International Journal of Human and Social Sciences, 2, 129-133.
Pivoto, D. (2018). Scientific Development of Smart Farming Technologies and Their Application in Brazil. Information Processing in Agriculture, 5, 21-32. https://doi.org/10.1016/j.inpa.2017.12.002
Sen, S., & Choudhary, V. (2011). Module 10: ICT Applications for Smallholder Inclusion in Agribusiness Supply Chains. In ICT in Agriculture (pp. 239-258).
Singh, A. K., & Sohane, R. K. (2016). Leveraging Mobile-Based Technologies for Sustainable Agricultural Development in India. Indian Journal of Fertilisers, 12, 164-169.
Singh, S., Ahlawat, S., & Sanwal, S. (2017). Role of ICT in Agriculture: Policy Implications. Oriental Journal of Computer Science and Technology, 10, 691-697. https://doi.org/10.13005/ojcst/10.03.20
Tantisantisom, K. (2011). Information Dissemination for Farming Communities in Thailand. Thesis, Edith Cowan University.
Thornton, P. K., & Herrero, M. (2001). Integrated Crop-Livestock Simulation Models for Scenario Analysis and Impact Assessment. Agricultural Systems, 70, 581-602. https://doi.org/10.1016/S0308-521X(01)00060-9
World Bank (2011). ICT in Agriculture: Connecting Smallholders to Knowledge, Networks, and Institutions.
World Bank (2016). World Development Indicators 2016. World Bank Publications.
Wyche, S., & Steinfield, C. (2015). Why Don’t Farmers Use Cell Phones to Access Market Prices? Technology Affordances and Barriers to Market Information Services Adoption in Rural Kenya. Journal of Information Technology for Development, 22, 320-333. https://doi.org/10.1080/02681102.2015.1048184