Empowering Ecosystems- Unveiling the Interplay of Smart Agriculture and Sustainable Practices .

Mohammad Hashir; Sanskar Mishra; Yojna Arora; Avinash Kumar Sharma

doi:10.55524/ijircst.2024.12.5.2

Abstract

The agricultural sector is experiencing a technological revolution with the advent of smart agriculture, which integrates Internet of Things (IoT), artificial intelligence (AI), and machine learning to enhance farming practices. This transformation addresses critical issues such as resource management, efficiency, and sustainability amid challenges posed by a growing global population, climate change, and traditional farming's environmental impacts. Smart agriculture employs digital tools for real-time, data-driven decision-making. IoT sensors monitor soil and crop conditions, feeding data into AI algorithms that predict and optimize farming operations. This systemic shift not only improves resource use and crop yields but also promotes sustainability by reducing environmental impacts. However, challenges like data security, high initial costs, and the need for robust infrastructure and skilled labor persist. Policymakers and industry leaders play vital roles in fostering adoption and innovation in this sector to ensure a sustainable future for agriculture.

Keywords

Agriculture, Smart Agriculture, Sustainability, Sustainable Practice

References

[1] S. Sindaco, S. Nanni, C. Aguzzi, L. Roffia, and T. Salmon Cinotti, "Enabling context aware tuning of low power sensors for smart agriculture," in Proc. 2020 IEEE Int. Workshop Metrol. Agric. Forestry (MetroAgriFor), 2020. Available from: https://doi.org/10.1109/MetroAgriFor50201.2020.9277635

[2] F. M. Zaki, M. Tajjudin, and N. Ishak, "IoT-Based System for Monitoring Smart Agriculture’s Automated Irrigation," in Proc. 2023 IEEE Int. Conf. Agrosyst. Eng., 2023, pp. 135–141. Available from: https://doi.org/10.1109/AGRETA57740.2023.10262688

[3] A. A. AlZubi and K. Galyna, "Artificial intelligence and internet of things for sustainable farming and smart agriculture," IEEE Access, vol. 11, pp. 78686–78692, 2023. Available from: https://doi.org/10.1109/ACCESS.2023.3298215

[4] U. Sugandh, S. Nigam, and M. Khari, "Ecosystem of Technologies for Smart Agriculture to Improve the Efficiency and Profitability of Indian Farmers," in Proc. Global Dev. (INDIACom), 2023. Available from: https://ieeexplore.ieee.org/abstract/document/10112573/metrics#metrics

[5] R. Concepcion et al., "Intelligent permaculture: A sustainable and profitable practice for tropical and maritime climate urban and Peri-urban agricultural ecosystems," in Proc. 2021 IEEE 13th Int. Conf. Humanoid, Nanotechnol., Inf. Technol., Commun. Control, Environ., and Manage. (HNICEM), 2021. Available from: https://doi.org/10.1109/HNICEM54116.2021.9732051

[6] P. Serikul, N. Nakpong, and N. Nakjuatong, "Smart Farm Monitoring via the Blynk IoT Platform: Case Study: Humidity Monitoring and Data Recording," in Proc. 2018 16th Int. Conf. ICT Knowl. Eng. (ICT&KE), Bangkok, Thailand, 2018. Available from: https://doi.org/10.1109/ICTKE.2018.8612441

[7] M. Ayaz, M. Ammad-Uddin, Z. Sharif, A. Mansour, and E. -H. M. Aggoune, "Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk," IEEE Access, vol. 7, pp. 129551-129583, 2019. Available from: https://doi.org/10.1109/ACCESS.2019.2932609

[8] P. Ashok et al., "Low-Cost Sensor-Based Irrigation System for Efficient Water Management in Remote Agricultural Regions," in Proc. 2023 Intell. Comput. Control Eng. Bus. Syst. (ICCEBS), Chennai, India, 2023. Available from: https://doi.org/10.1109/ICCEBS58601.2023.10448865

[9] A. Kadadi, R. Agrawal, C. Nyamful, and R. Atiq, "Challenges of data integration and interoperability in big data," in Proc. 2014 IEEE Int. Conf. Big Data (Big Data), Washington, DC, USA, 2014. Available from: https://doi.org/10.1109/BigData.2014.7004486

[10] U. Acharya, B. S. Ramaprasad, N. Kate, and A. Srivastava, "The Adoption of Smart Agriculture Technologies Based on the Perception of the Farmers in the Indian Context," in Proc. 2023 Second Int. Conf. Smart Technol. Smart Nation (SmartTechCon), Singapore, Singapore, 2023, pp. 586-593. Available from: https://doi.org/10.1109/SmartTechCon57526.2023.10391525

[11] Q. Zhang et al., "Design of Wireless Sensor Network in Intelligent Distribution Network," in Proc. 2022 3rd Int. Conf. Adv. Electr. Energy Syst. (AEES), Lanzhou, China, 2022. Available from: https://doi.org/10.1109/AEES56284.2022.10079327

Cites this article as

M. Hashir, S. Mishra, Y. Arora, A. K. Sharma, "Empowering Ecosystems- Unveiling the Interplay of Smart Agriculture and Sustainable Practices .", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), vol. 12, no. 5, pp. 8-13, 2024. doi: https://doi.org/10.55524/ijircst.2024.12.5.2

Corresponding Author

Dr Yojna Arora

Associate Professor, CSE, Sharda Universoty, greater noida, india

Download Full Paper

Download PDF

No. of Downloads: 48 | No. of Views: 2820

Advancing Education through VR: The Emerging Scope of Virtual Classrooms

Mohd Tanveer, Mohd Azat, Inayat Husain, Sakil Ahmad, Mohammad Aalam Khan.

May 2025 - Vol 13, Issue 3
Speech Recognition Technologies: Design, Challenges, and Real-World Applications

Maruti Maurya, Mohd Zaheer, Nawab Mohammad, Sadaf siddiqui, Mohd Zeeshan Khan, Mohd Ayan Akram.

May 2025 - Vol 13, Issue 3
Deep Learning-based Sentiment Analysis of Text using Long Short-Term Memory Networks

MD Shahid Ali, Saif Ali , Abdullah Parwez, Abu Sufiyan, Mohd Haroon.

May 2025 - Vol 13, Issue 3

Empowering Ecosystems- Unveiling the Interplay of Smart Agriculture and Sustainable Practices .

Citations

Total View 2820

Total Download 48