Yeboah, Samuel (2023): "Unlocking the Potential of Technological Innovations for Sustainable Agriculture in Developing Countries: Enhancing Resource Efficiency and Environmental Sustainability".
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Abstract
This paper examines the potential of technological innovations in promoting sustainable agriculture in developing countries. With challenges like population growth, climate change, and limited resources, there is a critical need for efficient and environmentally sustainable farming practices. Technological innovations offer promising solutions to address these challenges and enhance resource efficiency while minimizing negative environmental impacts. The paper emphasizes the urgency of leveraging technology to overcome barriers faced by developing countries in agriculture. It discusses various technological innovations that can improve resource efficiency, including precision farming techniques, advanced irrigation systems, remote sensing, and data analytics. These innovations enable farmers to optimize resource utilization, reduce waste, and improve crop yields. Environmental sustainability in agriculture is also highlighted, with a focus on technological solutions to minimize soil degradation, water pollution, and greenhouse gas emissions. The paper explores eco-friendly practices such as organic farming, agroforestry, and biopesticides that can be implemented using technology to promote sustainability. Challenges to adopting technological innovations in developing countries are discussed, such as limited access to technology, lack of infrastructure, and financial constraints. The paper emphasizes the need for supportive policies, capacity building, and partnerships to facilitate technology transfer and widespread adoption. Overall, the paper advocates for harnessing the power of technological innovations to enhance resource efficiency and environmental sustainability in agriculture. It calls for tailored approaches, farmer empowerment, and knowledge sharing. Collaboration among governments, research institutions, private sectors, and civil society is essential to create an enabling environment for technology-driven sustainable agriculture. The findings underscore the potential of technological innovations to contribute to food security, poverty alleviation, and resilient livelihoods in developing countries. By embracing these innovations and addressing associated challenges, developing countries can unlock their agricultural potential and create a sustainable future.
Item Type: | MPRA Paper |
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Original Title: | "Unlocking the Potential of Technological Innovations for Sustainable Agriculture in Developing Countries: Enhancing Resource Efficiency and Environmental Sustainability" |
English Title: | "Unlocking the Potential of Technological Innovations for Sustainable Agriculture in Developing Countries: Enhancing Resource Efficiency and Environmental Sustainability" |
Language: | English |
Keywords: | technological innovations, sustainable agriculture, developing countries, resource efficiency, environmental sustainability |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O13 - Agriculture ; Natural Resources ; Energy ; Environment ; Other Primary Products Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q0 - General > Q01 - Sustainable Development Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q16 - R&D ; Agricultural Technology ; Biofuels ; Agricultural Extension Services Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q55 - Technological Innovation |
Item ID: | 118215 |
Depositing User: | DR SAMUEL ASUAMAH YEBOAH |
Date Deposited: | 31 Aug 2023 13:22 |
Last Modified: | 31 Aug 2023 13:22 |
References: | Abate, G. T., Abay, K. A., Chamberlin, J., Kassim, Y., Spielman, D. J., & Tabe-Ojong, M. P. J. (2023). Digital tools and agricultural market transformation in Africa: Why are they not at scale yet, and what will it take to get there? Food Policy, 116, 102439. https://doi.org/10.1016/j.foodpol.2023.102439. Abdul-Rahaman, A., & Abdulai, A. (2018). Do farmer groups impact on farm yield and efficiency of smallholder farmers? Evidence from rice farmers in northern Ghana, Food Policy, 81, 95-105. https://doi.org/10.1016/j.foodpol.2018.10.007 Abdul-Razak, M., & Kruse, S. (2017). The adaptive capacity of smallholder farmers to climate change in the Northern Region of Ghana, Climate Risk Management, 17, 104-122. https://doi.org/10.1016/j.crm.2017.06.001. Addison, M., Ohene-Yankyera, K., Acheampong, P. P., & Wongnaa, C. A. (2022). The impact of uptake of selected agricultural technologies on rice farmers’ income distribution in Ghana. Agric & Food Secur 11(2). https://doi.org/10.1186/s40066-021-00339-0 Adhikari, B. (2013). Poverty Reduction Through Promoting Alternative Livelihoods: Implications for Marginal Drylands. International Development, 25(7), 947-967. https://doi.org/10.1002/jid.1820 Ahmed, O., & Sallam, W. (2020). Sustainability, 12, 1-23. 6307; doi:10.3390/su12166307 Akpan, A. I., & Zikos, D. (2023). Rural Agriculture and Poverty Trap: Can Climate-Smart Innovations Provide Breakeven Solutions to Smallholder Farmers? Environments, 10, 57. https://doi.org/10.3390/ environments10040057 Ali, E. B., Agyekum, E. B., & Adadi, P. (2021). Agriculture for Sustainable Development: A SWOT-AHP Assessment of Ghana’s Planting for Food and Jobs Initiative. Sustainability, 13, 628. https://doi.org/ 10.3390/su13020628 Ali, E. B., Anufriev, V.P., & Amfo, B. (2021). Green economy implementation in Ghana as a road map for a sustainable development drive: A review. Scientific African, 12, e00756. https://doi.org/10.1016/j.sciaf.2021.e00756. Amarasingam, N., Salgadoe, A. S. A., Powell, K., Gonzalez, L. F., Natarajan, S. (2022). A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops. Remote Sensing Applications: Society and Environment, 26, 100712. https://doi.org/10.1016/j.rsase.2022.100712. Amponsah-Doku, B., Daymond, A., Robinson, S., Atuah, L., Sizmur, T. (2022). Improving soil health and closing the yield gap of cocoa production in Ghana-A review. Scientific African,15, e01075. https://doi.org/10.1016/j.sciaf.2021.e01075. Anastasiadis, F., Tsolakis, N., & Srai, J. S. (2018). Digital Technologies Towards Resource Efficiency in the Agrifood Sector: Key Challenges in Developing Countries. Sustainability, 10, 4850; doi:10.3390/su10124850 pages 1-15 Anastasiadis, F., Tsolakis, N., Srai, J. S. (2018). Sustainability, 10, 1-15. 4850. doi:10.3390/su10124850 Anjum, M. N., Cheema, M. J. M., Hussain, F., Wu, R. -S. (2023). Chapter 6 - Precision irrigation: challenges and opportunities. Precision Agriculture, 85-101. https://doi.org/10.1016/B978-0-443-18953-1.00007-6. Antwi-Agyei, P., & Stringer, L. C. (2021). Improving the effectiveness of agricultural extension services in supporting farmers to adapt to climate change: Insights from northeastern Ghana. Climate Risk Management, 32, 100304. https://doi.org/10.1016/j.crm.2021.100304. Asuming-Brempong, S., Owusu, A. B., Frimpong, S., & Annor-Frempong, I. (2016). Technological Innovations for Smallholder Farmers in Ghana. In: Gatzweiler, F., von Braun, J. (eds) Technological and Institutional Innovations for Marginalized Smallholders in Agricultural Development. Springer, Cham. https://doi.org/10.1007/978-3-319-25718-1_19 Ayim, C., Kassahun, A., Addison, C., & Tekinerdogan, B. (2022). Adoption of ICT innovations in the agriculture sector in Africa: a review of the literature. Agric & Food Secur, 11, 22. https://doi.org/10.1186/s40066-022-00364-7 Bae, J. M. (2016). A suggestion for quality assessment in systematic reviews of observational studies in nutritional epidemiology. Epidemiol Health., 26(38), e2016014. doi: 10.4178/epih.e2016014. PMID: 27156344; PMCID: PMC4877518. Baffoe, G., Zhou, X., Moinuddin, M., Somanje, A. N., Kuriyama, A., Mohan, G., Saito, O., & Takeuchi, K. (2021). Urban-rural linkages: effective solutions for achieving sustainable development in Ghana from an SDG interlinkage perspective. Sustain Sci, 16, 1341-1362. https://doi.org/10.1007/s11625-021-00929-8 Balafoutis, A., Beck, B., Fountas, S., Vangeyte, J., Van der Wal, T., Soto, I., Gómez-Barbero, M., Barnes, A., & Eory, V. (2017). Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics. Sustainability, 9(8), 1339. https://doi.org/10.3390/su9081339 Baumhardt, R. L., & Blanco-Canqui, H. (2014). Soil: Conservation Practices. Encyclopedia of Agriculture and Food Systems, 153-165. https://doi.org/10.1016/B978-0-444-52512-3.00091-7. Bayih, A. Z., Morales, J., Assabie, Y., & de By, R. A. (2022). Utilization of Internet of Things and Wireless Sensor Networks for Sustainable Smallholder Agriculture. Sensors (Basel), 22(9), 3273. doi: 10.3390/s22093273 Benfica, R., Chambers, J., Koo, J., Nin-Pratt, A., Falck-Zepeda, J., Stads, G., & Channing Arndt, C. (2023). Food System Innovations and Digital Technologies to Foster Productivity Growth and Rural Transformation. In: von Braun, J., Afsana, K., Fresco, L.O., Hassan, M.H.A. (eds) Science and Innovations for Food Systems Transformation. Springer, Cham. https://doi.org/10.1007/978-3-031-15703-5_22 Blakeney, M. (2022). Agricultural Innovation and Sustainable Development. Sustainability, 14, 2698. https://doi.org/10.3390/ su14052698 Bwambale, E., Abagale, F. K., & Anornu, G. K. (2022). Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review. Agricultural Water Management, 260, 107324. https://doi.org/10.1016/j.agwat.2021.107324 Cao, J., & Solangi, Y. A. (2023). Analyzing and Prioritizing the Barriers and Solutions of Sustainable Agriculture for Promoting Sustainable Development Goals in China. Sustainability, 15, 8317. https://doi.org/10.3390/su15108317 Chen, L., Chen, Z., Zhang, Y., Liu, Y., Osman, A. I., Farghali, M., Hua, J., Al-Fatesh, A., Ihara, I., Rooney, D. W., & Yap, P. (2023). Artificial intelligence-based solutions for climate change: a review. Environ Chem Lett. https://doi.org/10.1007/s10311-023-01617-y Colaço, A. F., & Bramley, R. G. V. (2018). Do crop sensors promote improved nitrogen management in grain crops? Field Crops Research, 218, 126-140. https://doi.org/10.1016/j.fcr.2018.01.007. Danso-Abbeam, G., Dagunga, G., & Ehiakpor, D. S. (2020). Rural non-farm income diversification: implications on smallholder farmers' welfare and agricultural technology adoption in Ghana. Heliyon, 6(11), e05393. doi: 10.1016/j.heliyon.2020.e05393 Dhanaraju, M., Chenniappan, P., Ramalingam, K., Pazhanivelan, S., & Kaliaperumal, R. (2022). Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture. Agriculture, 12, 1745. https://doi.org/10.3390/ agriculture12101745 Diaz, A. C., Sasaki, N., Tsusaka, T. W., & Szabo, S. (2021). Factors affecting farmers’ willingness to adopt a mobile app in the marketing of bamboo products. Resources, Conservation & Recycling Advances, 11, 200056. https://doi.org/10.1016/j.rcradv.2021.200056. Fan, S., & Rue, C. (2020). The Role of Smallholder Farms in a Changing World. In: Gomez y Paloma, S., Riesgo, L., Louhichi, K. (eds) The Role of Smallholder Farms in Food and Nutrition Security. Springer, Cham. https://doi.org/10.1007/978-3-030-42148-9_2 Finch, H. J. S., Samuel, A. M., & Lane, G. P. F. (2014). 10 - Precision farming, in Woodhead Publishing Series in Food Science, Technology and Nutrition, Lockhart & Wiseman’s Crop Husbandry Including Grassland (Ninth Edition), 235-244. https://doi.org/10.1533/9781782423928.2.235. Finger, R. (2023). Digital innovations for sustainable and resilient agricultural systems. European Review of Agricultural Economics, 00(00), 1-33. Doi:https://doi.org/10.1093/erae/jbad021 Friedl, M. A. (2018). 6.06-Remote Sensing of Croplands. Comprehensive Remote Sensing, 78-95. https://doi.org/10.1016/B978-0-12-409548-9.10379-3 Fu L, Mao. X, Mao, X., & Wang, J. (2022). Evaluation of Agricultural Sustainable Development Based on Resource Use Efficiency: Empirical Evidence from Zhejiang Province, China. Front. Environ. Sci., 10, 860481. doi: 10.3389/fenvs.2022.860481 Fuchs, L. E., Orero, L., Namoi, N., & Neufeldt, H. (2019). How to Effectively Enhance Sustainable Livelihoods in Smallholder Systems: A Comparative Study from Western Kenya. Sustainability, 11(6), 1564. https://doi.org/10.3390/su11061564 Gargiulo, J. I., Lyons, N. A., Masia, F., Beale, P., Insua, J. R., Correa-Luna, M., & Garcia, S. C. (2023). Comparison of Ground-Based, Unmanned Aerial Vehicles and Satellite Remote Sensing Technologies for Monitoring Pasture Biomass on Dairy Farms. Remote Sens., 15, 2752. https://doi.org/ 10.3390/rs15112752 Gassner, A., Harris, D., Mausch, K., Terheggen, A., Lope s, C., Finlayson, R., & Dobie, P. (2019). Poverty eradication and food security through agriculture in Africa: Rethinking objectives and entry points. Outlook on Agriculture, 48(4), 309–315. https://doi.org/10.1177/0030727019888513 Gassner, A., Harris, D., Mausch, K., Terheggen, A., Lopes, C., Finlayson, R., & Dobie, P. (2019). Poverty eradication and food security through agriculture in Africa: Rethinking objectives and entry points. Outlook on Agriculture, 48(4), 309-315. https://doi.org/10.1177/0030727019888513 Gaznayee, H. A. A., Zaki, S. H., Al-Quraishi, A. M. F., Aliehsan, P. H., Hakzi, K. K., Razvanchy, H. A. S., Riksen, M., & Mahdi, K. (2023). Integrating Remote Sensing Techniques and Meteorological Data to Assess the Ideal Irrigation System Performance Scenarios for Improving Crop Productivity. Water, 15, 1605. https://doi.org/10.3390/w15081605 Giamouri, E., Zisis, F., Mitsiopoulou, C., Christodoulou, C., Pappas, A. C., Simitzis, P. E., Kamilaris, C., Galliou, F., Manios, T., Mavrommatis, A., & Tsiplakou, E. (2023). Sustainable Strategies for Greenhouse Gas Emission Reduction in Small Ruminants Farming. Sustainability, 15, 4118. https://doi.org/ 10.3390/su15054118 Gusenbauer, M., & Haddaway, N. R. (2020). Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Res Synth Methods., 11(2), 181-217. doi: 10.1002/jrsm.1378. Harris, D., Oduol, J., & Hughes, K. (2021). Poverty Alleviation Through Technology-Driven Increases in Crop Production by Smallholder Farmers in Dryland Areas of Sub-Saharan Africa: How Plausible Is This Theory of Change? Front. Sustain. Food Syst. 5, 723301. doi: 10.3389/fsufs.2021.723301 Heliyon, 7(3). e06403. https://doi.org/10.1016/j.heliyon.2021.e06403. Higgins, S., Schellberg, J., & Bailey, J. S. (2019). Improving productivity and increasing the efficiency of soil nutrient management on grassland farms in the UK and Ireland using precision agriculture technology. European Journal of Agronomy, 106, 67-74. https://doi.org/10.1016/j.eja.2019.04.001. Horsley, T., Dingwall, O., & Sampson, M. (2011). Checking reference lists to find additional studies for systematic reviews. Cochrane Database Syst Rev., 8: MR000026. doi: 10.1002/14651858 https://doi.org/10.1016/j.ijin.2022.09.004. Indre, S. B., Streimikiene, D., Balezentis, T., & Skulskis, V. (2021). A Systematic Literature Review of Multi-Criteria Decision-Making Methods for Sustainable Selection of Insulation Materials in Buildings. Sustainability, 13, 737. Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Enhancing smart farming through the applications of Agriculture 4.0 technologies, International Journal of Intelligent Networks, 3, 150-164, Javaid, M., Haleem, A., Singh, R.P., & Suman, R. (2022). Enhancing smart farming through the applications of Agriculture 4.0 technologies. International Journal of Intelligent Networks, 3, 150-164. https://doi.org/10.1016/j.ijin.2022.09.004. Jellason, N. P., Robinson, E. J. Z., Chapman, A. S. A., Neina, D., Devenish, A. J. M., Po, J. Y. T., & Adolph, B. A. (2021). Systematic Review of Drivers and Constraints on Agricultural Expansion in Sub-Saharan Africa. Land, 10, 332. https://doi.org/ 10.3390/land10030332 Khan, N., Ray, R. L., Kassem, H. S., Hussain, S., Zhang, S., Khayyam, M., Ihtisham, M., & Asongu, S. A. (2021). Potential Role of Technology Innovation in Transformation of Sustainable Food Systems: A Review. Agriculture, 11, 984. https://doi.org/10.3390/agriculture11100984 Khan, N., Ray, R. L., Kassem, H. S., Hussain, S., Zhang, S., Khayyam, M., Ihtisham, M., & Asongu, S. A. (2021). Potential Role of Technology Innovation in Transformation of Sustainable Food Systems: A Review. Agriculture, 11, 984. https:// doi.org/10.3390/agriculture11100984 Khan, N., Ray, R. L., Sargani, G. R., Ihtisham, M., Khayyam, M., & Ismail, S. (2021). Current Progress and Future Prospects of Agriculture Technology: Gateway to Sustainable Agriculture. Sustainability, 13, 4883. https://doi.org/10.3390/ su13094883 Khan, N.; Ray, R. L.; Kassem, H. S.; Hussain, S.; Zhang, S.; Khayyam, M.; Ihtisham, M.; Asongu, S. A. (2021). Potential Role of Technology Innovation in Transformation of Sustainable Food Systems: A Review. Agriculture,11, 984. https:// doi.org/10.3390/agriculture11100984 Khangura, R., Ferris, D., Wagg, C., Bowyer, J. (2023). Regenerative Agriculture-A Literature Review on the Practices and Mechanisms Used to Improve Soil Health. Sustainability, 15, 2338. https://doi.org/ 10.3390/su15032338 Khatiwada, S. P., Wei Deng, W., Paudel, B., Khatiwada, J. R., Jifei Zhang, J., & Su, Y. (2017). Household Livelihood Strategies and Implication for Poverty Reduction in Rural Areas of Central Nepal. Sustainability, 9(4), 612. https://doi.org/10.3390/su9040612 Kumar, R. G., Chandra Shekhar, Y., Shweta, V., & Ritesh, R. (2021). Smart agriculture-Urgent need of the day in developing countries. Sustain. Comput. Inform. Syst., 30, 100512. Kwon, H., Liu, X., Xu, H., & Wang, M. (2021). Greenhouse gas mitigation strategies and opportunities for agriculture. Agronomy Journal, 113(6), 4639-4647. https://doi.org/10.1002/agj2.20844 Leonard, E. C. (2016). Precision Agriculture, Encyclopedia of Food Grains (Second Edition), 162-167. https://doi.org/10.1016/B978-0-12-394437-5.00203-5. Liakos, K. G., Busato, P., Moshou, D., Pearson, S., & Bochtis, D. (2018). Machine learning in agriculture: A review. Sensors, 18(8), 2674. doi: 10.3390/s18082674. Lloret J, Sendra S, Garcia L, Jimenez JM. A Wireless Sensor Network Deployment for Soil Moisture Monitoring in Precision Agriculture. Sensors (Basel). 2021 Oct 30;21(21):7243. doi: 10.3390/s21217243. Ma, L. -L., Wang, Y. -Y., Yang, Z. -H., Huang, D., Weng, H., Zeng, X. -T. (2020). Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better? Military Med Res, 7, 7 (2020). https://doi.org/10.1186/s40779-020-00238-8 Maimaitijiang, M., Sagan, V., Sidike, P., Daloye, A. M., Erkbol, H., & Fritschi, F. (2020). Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning. Remote Sens., 12, 1-23, 1357. doi:10.3390/rs12091357 pages 1-23 Malhi, G. S., Kaur, M., & Kaushik, P. (2021). Impact of Climate Change on Agriculture and Its Mitigation Strategies: A Review. Sustainability, 13, 1318. https://doi.org/ 10.3390/su13031318 Mallareddy, M., Thirumalaikumar, R., Balasubramanian, P., Naseeruddin, R., Nithya, N., Mariadoss, A., Eazhilkrishna, N., Choudhary, A. K., Deiveegan, M., Subramanian, E., Vijayakumar, S., & Padmaja, B. (2023). Maximizing Water Use Efficiency in Rice Farming: A Comprehensive Review of Innovative Irrigation Management Technologies. Water, 15, 1802. https://doi.org/ 10.3390/w15101802 Margulis, A. V., Pladevall, M., Riera-Guardia, N., Varas-Lorenzo, C., Hazell, L., Berkman, N. D., Viswanathan, M., Perez-Gutthann, S. (2014). Quality assessment of observational studies in a drug-safety systematic review, comparison of two tools: the Newcastle-Ottawa Scale and the RTI item bank. Clin Epidemiol, 6, 359-68. doi: 10.2147/CLEP.S66677 Misbah, K., Laamrani, A., Khechba, K., Dhiba, D., & Chehbouni, A. (2022). Multi-Sensors Remote Sensing Applications for Assessing, Monitoring, and Mapping NPK Content in Soil and Crops in African Agricultural Land. Remote Sens., 14(81). https://doi.org/10.3390/ rs14010081 Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ 2009, 339, b2535. Mondejar, M. E., Avtar, R., Diaz, H. L. B., Dubey, R. K., Esteban, J., Gómez-Morales, A., Hallam, B., Mbungu, N. T., Okolo, C. C., Prasad, K. A., She, Q., & Garcia-Segura, S. (2021). Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet, Science of The Total Environment,794, 148539. https://doi.org/10.1016/j.scitotenv.2021.148539. Monteiro, A., Santos, S., & Gonçalves, P. (2021). Precision Agriculture for Crop and Livestock Farming-Brief Review. Animals (Basel), 11(8), 2345. doi: 10.3390/ani11082345. PMID: 34438802; PMCID: PMC8388655. Mouratiadou, I., Lemke, N., Chen, C., Wartenberg, A., Bloch, R., Donat, M., Gaiser, T., Basavegowda, D. H., Helming, K., Yekani H. S. A., Krull M., Lingemann K, Macpherson, J., Melzer, M., Nendel, C., Piorr A., Shaaban, M., Zander, P., Weltzien, C., & Bellingrath-Kimura, S. D. (2023). The Digital Agricultural Knowledge and Information System (DAKIS): Employing digitalisation to encourage diversified and multifunctional agricultural systems. Environ Sci Ecotechnol., 14(16), 100274. doi: 10.1016/j.ese.2023.100274 Muhammad, S. F., Shamyla, R., Adnan, A., Tariq, U., & Yousaf, B. Z. (2020). Role of IoT Technology in Agriculture: A Systematic Literature Review. Electronics, 9, 319. Muhie, S. H. (2022). Novel approaches and practices to sustainable agriculture, Journal of Agriculture and Food Research,10, 100446. https://doi.org/10.1016/j.jafr.2022.100446. Musah, A. (2023). Exploring industrialization and environmental sustainability dynamics in Ghana: a fully modified least squares approach Technological Sustainability, 2(2), 142-155. DOI 10.1108/TECHS-06-2022-0028 Mushi, G. E., Serugendo, D. M. G., & Burgi, P.-Y. (2022). Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review. Sustainability, 14, 2415. https://doi.org/ 10.3390/su14042415 Neza, K., Nyarko, Y., & Orozco, A. (2023). Digital Trading and Market Platforms: Ghana Case Study. In: Madon, T., Gadgil, A.J., Anderson, R., Casaburi, L., Lee, K., Rezaee, A. (eds) Introduction to Development Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-86065-3_9 Ning, X., Lu, Y., Yim, D., & Khuntia, J. (2023). Factors Affecting the Usage Intention of Environmental Sustainability Management Tools: Empirical Analysis of Adoption of Greenhouse Gas Protocol Tools by Firms in Two Countries. Sustainability, 15, 2703. https://doi.org/ 10.3390/su15032703 O’Grady, M. J., & O’Hare, G. M. P. (2017). Modelling the smart farm. Inf. Process. Agric. 2017, 4, 179-187. Peng, Y., Xiao, Y., Fu, Z., Dong, Y., Zheng, Y., Yan, H., Li, X. (2019). Precision irrigation perspectives on the sustainable water-saving of field crop production in China: Water demand prediction and irrigation scheme optimization. Journal of Cleaner Production, 230, 365-377. https://doi.org/10.1016/j.jclepro.2019.04.347. Phillips, A. J., Newlands, N. K., Liang, S. H. L., & Ellert, B. H. (2014). Integrated sensing of soil moisture at the field-scale: Measuring, modelling and sharing for improved agricultural decision support. Computers and Electronics in Agriculture, 107, 73-88. https://doi.org/10.1016/j.compag.2014.02.011. Qin, T., Wang, L., Zhou, Y., Guo, L., Jiang, G., & Zhang, L. (2022). Digital Technology-and-Services-Driven Sustainable Transformation of Agriculture: Cases of China and the EU. Agriculture, 12, 297. https://doi.org/10.3390/ agriculture12020297 Quy, V. K., Hau, N. V., Anh, D. V., Quy, N. M., Ban, N. T., Lanza, S., Randazzo, G., Muzirafuti, A. (2022). IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges. Appl. Sci., 12, 3396. Rajendra P., S., Ray, R. L., Singh. S. K. (2020). "Applications of Remote Sensing in Precision Agriculture: A Review". Remote Sensing, 12(19), 3136. https://doi.org/10.3390/rs12193136 Rosário, J., Madureira, L., Marques, C., & Silva, R. (2022). Understanding Farmers’ Adoption of Sustainable Agriculture Innovations: A Systematic Literature Review. Agronomy, 12, 2879. https://doi.org/10.3390/agronomy12112879 Ruzzante, S., Labarta, R., & Bilton, A. (2021). Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature. World Development, 146, 105599. https://doi.org/10.1016/j.worlddev.2021.105599. Salvador-Oliván J. A., Marco-Cuenca, G., & Arquero-Avilés, R. (2019) Errors in search strategies used in systematic reviews and their effects on information retrieval. J Med Libr Assoc., 107(2), 210-221. doi: 10.5195/jmla.2019.567 Schmidt, L., Olorisade, B. K., McGuinness, L. A., Thomas, J., & Higgins, J. P. T. (2021). Data extraction methods for systematic review (semi)automation: A living systematic review. F1000Res., 19(10), 401. doi: 10.12688/f1000research.51117.1 Shayan, F. N., Mohabbati-Kalejahi, N., Alavi, S., & Zahed, M. A. Sustainable Development Goals (SDGs) as a Framework for Corporate Social Responsibility (CSR). Sustainability, 14, 1222. https://doi.org/ Singh, P., Pandey, P. C., Petropoulos, G. P., Pavlides, A., Srivastava, P. K., Koutsias, N., Deng, K. A. K., & Bao, Y. (2020). 8 - Hyperspectral remote sensing in precision agriculture: present status, challenges, and future trends, In Earth Observation. Hyperspectral Remote Sensing, 121-146. https://doi.org/10.1016/B978-0-08-102894-0.00009-7. Soma, T., & Nuckchady, B. (2021). Communicating the Benefits and Risks of Digital Agriculture Technologies: Perspectives on the Future of Digital Agricultural Education and Training. Front. Commun. 6, 762201. doi: 10.3389/fcomm.2021.762201 Srivastava, N., Chopra, G., Jain, P., & Khatter, B. (2013). Pest Monitor and Control System Using Wireless Sensor Network (With Special Reference to Acoustic Device Wireless Sensor). In Proceedings of the International Conference on Electrical and Electronics Engineering, Khartoum, Sudan Goa, 26-28. Steensland, A., & Zeigler, M. (2021). Productivity in Agriculture for a Sustainable Future. In: Campos, H. (eds) The Innovation Revolution in Agriculture. Springer, Cham. https://doi.org/10.1007/978-3-030-50991-0_2 Tahat, M. M., Alananbeh, K. M., Othman, Y. A, Leskovar, D. I. (2020). Soil Health and Sustainable Agriculture. Sustainability, 12, 4859; doi:10.3390/su12124859 pages 1-26 Tawfik, G. M., Dila, K. A. S., Mohamed, M. Y. F. Tam, D. N. H., Kien, N. D., Ahmed, A. M., & Huy, N. T. (2019). A step by step guide for conducting a systematic review and meta-analysis with simulation data. Trop Med Health, 47(46). https://doi.org/10.1186/s41182-019-0165-6 Thomas, R. J., O'Hare, G., & Coyle, D. (2023). Understanding technology acceptance in smart agriculture: A systematic review of empirical research in crop production. Technological Forecasting and Social Change, 189, 122374. https://doi.org/10.1016/j.techfore.2023.122374. Triantafyllou, A., Sarigiannidis, P., & Bibi, S. (2019). Precision Agriculture: A Remote Sensing Monitoring System Architecture. Information, 10, 1-25. 348; doi:10.3390/info10110348 Vassar, M., Atakpo P., & Kash, M. J. (2016). Manual search approaches used by systematic reviewers in dermatology. J Med Libr Assoc., 104(4), 302-304. doi: 10.3163/1536-5050.104.4.009 Viana, C. M., Freire, D., Abrantes, P., Rocha, J., & Pereira, P. (2022). Agricultural land systems importance for supporting food security and sustainable development goals: A systematic review, Science of The Total Environment, 806(3), 150718. https://doi.org/10.1016/j.scitotenv.2021.150718. Vrchota, J., Pech, M., & Švepešová, I. (2022). Precision Agriculture Technologies for Crop and Livestock Production in the Czech Republic. Agriculture, 12, 1080.https://doi.org/10.3390/agriculture12081080 Waffenschmidt, S., Knelangen, M., Sieben, W. Bühn, S., & Pieper, D. (2019). Single screening versus conventional double screening for study selection in systematic reviews: a methodological systematic review. BMC Med Res Methodol, 19, 132. https://doi.org/10.1186/s12874-019-0782-0 Wang, F., Harindintwali, J. D., Yuan, Z., Wang, M., Wang, F., Li, S., Yin, Z., Huang, L., Fu, Y., Li, L., Chang, S. X., Zhang, L., Rinklebe, J., Yuan, Z., Zhu, Q., Xiang, L. X., Tsang, D. C. W., Xu, L., Jiang, X. … Chen, J. M. (2021). Technologies and perspectives for achieving carbon neutrality. The Innovation, 2(4), 100180. https://doi.org/10.1016/j.xinn.2021.100180. Xu, C., Yu, T., Furuya-Kanamori, L., Lin, L., Zorzela, L., Zhou, X., Dai, H., Loke, Y., & Vohra, S. (2022). Validity of data extraction in evidence synthesis practice of adverse events: reproducibility study. BMJ., 377. e069155. doi: 10.1136/bmj-2021-069155 Zegeye, M. B., Meshesha, G. B., & Shah, M. I. (2022). Measuring the poverty reduction effects of adopting agricultural technologies in rural Ethiopia: findings from an endogenous switching regression approach. Heliyon, 8(5), e09495. https://doi.org/10.1016/j.heliyon.2022.e09495 Zeng, F., Lee, S. H. N., & Lo, C. K. Y. (2020). The Role of Information Systems in the Sustainable Development of Enterprises: A Systematic Literature Network Analysis. Sustainability, 12, 1-29, 3337. doi:10.3390/su12083337 Zeweld, W., Van Huylenbroeck, G., Tesfay, G., Azadi, H., & Speelman, S. (2020). Sustainable agricultural practices, environmental risk mitigation and livelihood improvements: Empirical evidence from Northern Ethiopia, Land Use Policy, 95, 103799. https://doi.org/10.1016/j.landusepol.2019.01.002. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/118215 |