Open Access
Issue |
SHS Web Conf.
Volume 216, 2025
International Conference on the Impact of Artificial Intelligence on Traditional Economic Sectors (ICIAITES 2025)
|
|
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Article Number | 01055 | |
Number of page(s) | 11 | |
Section | Intelligent Systems and Digital Transformation in Agricultural Economy and Sustainable Development | |
DOI | https://doi.org/10.1051/shsconf/202521601055 | |
Published online | 23 May 2025 |
- Q. Zaman (Ed.), Precision Agriculture: Evolution, Insights, and Emerging Trends (Books Google, 2023) [Google Scholar]
- H.S. El-Beltagi, A. Basit, H.I. Mohamed, I. Ali, S. Ullah, E.A. Kamel, H.S. Ghazzawy, Mulching as a sustainable water and soil saving practice in agriculture: A review. Agronomy 12(8), 1881 (2022). https://www.mdpi.com/2073-4395/12/8/1881 [CrossRef] [Google Scholar]
- J. Shrestha, S. Subedi, K.P. Timsina, S. Subedi, M. Pandey, A. Shrestha, M.A. Hossain, Sustainable intensification in agriculture: an approach for making agriculture greener and productive. J. Nepal Agric. Res. Counc. 7, 133–144 (2021). https://nepjol.info/index.php/JNARC/article/view/36937 [CrossRef] [Google Scholar]
- N. Valizadeh, M. Bijani, Agricultural Research: Applications and Future Orientations. Zero Hunger, 71–79 (2020). https://doi.org/10.1007/978-3-319-95675-6_5 [CrossRef] [Google Scholar]
- R. Mishra, R.K. Singh, N. Subramanian, Impact of disruptions in the agri-food supply chain due to COVID-19 pandemic: contextualized resilience framework to achieve operational excellence. Int. J. Logist. Manag. 33(3), 926–954 (2022). https://doi.org/10.1108/IJLM-01-2021-0043 [CrossRef] [Google Scholar]
- M. Bouri, K.S. Arslan, F. Şahin, Climate-smart pest management in sustainable agriculture: Promises and challenges. Sustainability 15(5), 4592 (2023). https://www.mdpi.com/2071-1050/15/5/4592 [CrossRef] [Google Scholar]
- R. Lencucha, N.E. Pal, A. Appau, A.M. Thow, J. Drope, Government policy and agricultural production: a scoping review to inform research and policy on healthy agricultural commodities. Global. Health 16(1), 11 (2020). https://doi.org/10.1186/s12992-020-0542-2 [CrossRef] [Google Scholar]
- B.R. Meena, H.S. Jatav, B.L. Dudwal, P. Kumawat, S.S. Meena, V.K. Singh, E. Sathyanarayana, Fertilizer recommendations by using different geospatial technologies in precision farming or nanotechnology. Ecosyst. Serv. 14, 241–257 (2022) [Google Scholar]
- S. Chander, Integrated pest management of field crops. Indian J. Entomol. 84, 29–39 (2022). https://doi.org/10.5958/ijor.aspx?target=ijor:ije&volume=84&issue=spl&article=002 [Google Scholar]
- M.R. Shaheb, A. Sarker, S.A. Shearer, Precision agriculture for sustainable soil and crop management, in Soil Science-Emerging Technologies, Global Perspectives and Applications (IntechOpen, 2022). https://doi.org/10.5772/intechopen.99720 [Google Scholar]
- G. Bertanza, R. Boiocchi, R. Pedrazzani, Improving the quality of wastewater treatment plant monitoring by adopting proper sampling strategies and data processing criteria. Sci. Total Environ. 806, 150724 (2022). https://doi.org/10.1016/j.scitotenv.2021.150724 [CrossRef] [Google Scholar]
- U. Ahmad, A. Alvino, S. Marino, A review of crop water stress assessment using remote sensing. Remote Sens. 13(20), 4155 (2021). https://doi.org/10.3390/rs13204155 [CrossRef] [Google Scholar]
- R.P. Sishodia, R.L. Ray, S.K. Singh, Applications of remote sensing in precision agriculture: A review. Remote Sens. 12(19), 3136 (2020). https://doi.org/10.3390/rs12193136 [CrossRef] [Google Scholar]
- T. Kuemmerle, K. Erb, P. Meyfroidt, D. Müller, P.H. Verburg, S. Estel, A. Reenberg, Challenges and opportunities in mapping land use intensity globally. Curr. Opin. Environ. Sustain. 5(5), 484–493 (2013). https://doi.org/10.1016/j.cosust.2013.06.002 [CrossRef] [Google Scholar]
- G. Balsamo, A. Agusti-Parareda, C. Albergel, G. Arduini, A. Beljaars, J. Bidlot, X. Zeng, Satellite and in situ observations for advancing global Earth surface modeling: A review. Remote Sens. 10(12), 2038 (2018). https://doi.org/10.3390/rs10122038 [CrossRef] [Google Scholar]
- Y. He, Q. Weng (Eds.), High spatial resolution remote sensing: data, analysis, and applications (CRC Press, 2018) [CrossRef] [Google Scholar]
- N. Delavarpour, C. Koparan, J. Nowatzki, S. Bajwa, X. Sun, A technical study on UAV characteristics for precision agriculture applications and associated practical challenges. Remote Sens. 13(6), 1204 (2021). https://doi.org/10.3390/rs13061204 [CrossRef] [Google Scholar]
- E. Alvarez-Vanhard, T. Corpetti, T. Houet, UAV & satellite synergies for optical remote sensing applications: A literature review. Sci. Remote Sens. 3, 100019 (2021). https://doi.org/10.1016/j.srs.2021.100019 [CrossRef] [Google Scholar]
- E.K. Ruby, G. Amirthayogam, G. Sasi, T. Chitra, A. Choubey, S. Gopalakrishnan, Advanced Image Processing Techniques for Automated Detection of Healthy and Infected Leaves in Agricultural Systems. Mesopotamian J. Comput. Sci. 2024, 62–70 (2024). https://doi.org/10.58496/mjcs/2024/444 [Google Scholar]
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