Page 123 - AJWEP-v22i3

Farming technologies and food yields in Pakistan

33. Soko NN, Kaitibie S, Ratna NN. Does institutional doi: 10.1016/j.atech.2024.100704
quality affect the impact of public agricultural spending 44. Sweet LB, Athanasiadis IN, van Bree R, et al.
on food security in Sub-Saharan Africa and Asia? Glob Transdisciplinary coordination is essential for advancing
Food Sec. 2023;36:100668. agricultural modeling with machine learning. One Earth.
doi: 10.1016/j.gfs.2022.100668 2025;8(4):101233.
34. Peng J, Zhao Z, Liu D. Impact of agricultural doi: 10.1016/j.oneear.2025.101233
mechanization on agricultural production, income, and 45. World Bank. World Development Indicators.
mechanism: Evidence from Hubei province, China. Washington, D.C.: World Bank; 2023. Available
Front Environ Sci. 2022;10:838686. from: https://databank.worldbank.org/source/world-
doi: 10.3389/fenvs.2022.838686 development-indicators [Last accessed on 2025 Jan 15].
35. Mutengwa CS, Mnkeni P, Kondwakwenda A. Climate- 46. CCKP. Climate Change Overview: Country Summary.
smart agriculture and food security in Southern Africa: World Bank Climate Knowledge Portal; 2023. Available
A review of the vulnerability of smallholder agriculture from: https://climateknowledgeportal.worldbank.org/
and food security to climate change. Sustainability. country/Pakistan [Last accessed on 2025 Jan 15].
2023;15(4):2882. 47. Pesaran MH, Shin Y, Smith RJ. Bounds testing
doi: 10.3390/su15042882 approaches to the analysis of level relationships. J Appl
36. Abekoon T, Sajindra H, Rathnayake N, et al. A novel Econometrics. 2001;16(3):289-326.
application with explainable machine learning doi: 10.1002/jae.616
(SHAP and LIME) to predict soil N, P, and K nutrient 48. Jiang T, Zhong M, Gao A, Ma G. Do factor misallocations
content in cabbage cultivation. Smart Agric Technol. affect food security? Evidence from China. Agriculture.
2025;11:100879. 2024;14(5):729.
doi: 10.1016/j.atech.2025.100879 doi: 10.3390/agriculture14050729
37. Soussi A, Zero E, Sacile R, Trinchero D, Fossa M. 49. Zahoor I, Mushtaq A. Water pollution from agricultural
Smart sensors and smart data for precision agriculture: A activities: A critical global review. Int J Chem Biochem
review. Sensors. 2024;24(8):2647. Sci. 2023;23(1):164-176.
doi: 10.3390/s24082647 50. Stevenson JR, Macours K, Gollin D. The rigor revolution:
38. Ahmad U, Sharma L. A review of best management New standards of evidence for impact assessment of
practices for potato crop using precision agricultural international agricultural research. Annu Rev Resour
technologies. Smart Agric Technol. 2023;4:100220. Econ. 2023;15:495-515.
doi: 10.1016/j.atech.2023.100220 51. Rehman KU, Andleeb S, Ashfaq M, Akram N,
39. Waqas MM, Wasim M, Ashraf M, Jatoi WN. Akram MW. Blockchain-enabled smart agriculture:
Engineering principles of precision farming: Pathway Enhancing data-driven decision making and ensuring
for the developing countries to ensure food security. In: food security. J Clean Prod. 2023;427:138900.
Jatoi WN, Mubeen M, Hashmi MZ, et al., editors. Climate doi: 10.1016/j.jclepro.2023.138900
Change Impacts on Agriculture. Cham: Springer; 2023. 52. Liang C, Shah T. IoT in agriculture: The future of
doi: 10.1007/978-3-031-26692-8_7 precision monitoring and data-driven farming. Eigenpub
40. Ji M, Zhang X. Assessing the impacts and mechanisms Rev Sci Technol. 2023;7(1):85-104.
of green bond financing on the enhancement of 53. Hassan M, Kowalska A, Ashraf H. Advances in deep
green management and technological innovation in learning algorithms for agricultural monitoring and
environmental conservation enterprises. J Knowl Econ. management. Appl Res ArtifIntell Cloud Comput.
2023;3:12709-50. 2023;6(1):68-88.
doi: 10.1007/s13132-023-01594-1 54. Tripathi PK, Singh CK, Singh R, Deshmukh AK.
41. Gemtou M, Kakkavou K, Anastasiou E, et al. Farmers’ A farmer-centric agricultural decision support system for
transition to climate-smart agriculture: A systematic market dynamics in a volatile agricultural supply chain.
review of the decision-making factors affecting adoption. Benchmarking Int J. 2023;30(10):3925-3952.
Sustainability. 2024;16(7):2828. doi: 10.1108/BIJ-12-2021-0780
doi: 10.3390/su16072828 55. Bokolo AJ. Examining the adoption of sustainable
42. Imran M, Sattar A, Alam MS. Heterogeneous analysis eMobility-sharing in smart communities: Diffusion
of free trade agreement between Pakistan and China: of innovation theory perspective. Smart Cities.
A policy guideline for CPEC. J Econ Adm Sci. 2023;6(4):2057-2080.
2024;40(1):76-94. doi: 10.3390/smartcities6040095
doi: 10.1108/JEAS-02-2022-0051 56. Haruna LZ, Sennuga SO, Bamidele J, et al. Factors
43. Jobarteh B, Neethirajan S. Leveraging satellite data for influencing farmers’ adoption of improved technologies
greenhouse gas mitigation in Canadian poultry farming. in maize production in Kuje Area Council of FCT-Abuja,
Smart Agric Technol. 2025;10:100704. Nigeria. GPH Int J Agric Res. 2023;6(4):25-41.

Volume 22 Issue 3 (2025) 117 doi: 10.36922/AJWEP025130096