EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 499 (2024) E3S Web Conf., 499 (2024) 01005 References
Open Access
Issue
E3S Web Conf.
Volume 499, 2024
The 1st Trunojoyo Madura International Conference (1st TMIC 2023)
Article Number 01005
Number of page(s) 6
Section Dense Matter
DOI https://doi.org/10.1051/e3sconf/202449901005
Published online 06 March 2024
  1. S. Yohandoko, Supriyanto, Panel Data Analysis on Rice (Paddy) Production in Indonesia 2018-2021, International J. Math., Statistics, and Comp., 1,3, pp. 44-53,(2023). [CrossRef] [Google Scholar]
  2. M. Faiz Barchia, H. Eko Mareja, A. Susatya, E. Lolita Putri, Sustainability Of Rice Cultivation In Irrigated Paddy Fields In The Highlands Of Bengkulu, Indonesia, in Proceedings of the 3rd Sriwijaya International Conference on Environmental Issues, SRICOENV 2022, October 5th 2022, Palembang, South Sumatera, Indonesia (2022). [Google Scholar]
  3. M. Galang Satrio Wicaksono, E. Suryani, R. Agus Hendrawan, Increasing productivity of rice plants based on IoT (Internet Of Things) to realize Smart Agriculture using System Thinking approach, in Proceedings Sixth Information Systems International Conference, ISICO 2021, August 7-8th 2021, Surabaya, East Java, Indonesia (2022). [Google Scholar]
  4. M Ivan Vadilaksono, Y. Syaukat, Widyastutik, Harmonization Of Rice Production Policy And Rice Trade Policy In Indonesia, Jurnal Manajemen & Agribisnis, 20,1, (2023). [Google Scholar]
  5. M. Sobari, I.G.N.M. Jaya, Modeling Rice Production in West Java by Means Geographically Weighted Regression, Jurnal Ekonomi dan Statistik Indonesia, 2, 3, pp. 316-326,(2022). [Google Scholar]
  6. Fitrawaty, W. Hermawan, M. Yusuf, I, Maipita, A simulation of increasing rice price toward the disparity of income distribution: An evidence from Indonesia, Heliyon, 9, 3, e13785, (2023). [CrossRef] [PubMed] [Google Scholar]
  7. E. Elahi, Z. Khalid, M. Zubair Tauni, H. Zhang, X. Lirong, Extreme weather events risk to crop- production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan, Technovation, 117, 102255, (2022). [CrossRef] [Google Scholar]
  8. D. L. Corwin, Climate change impacts on soil salinity in agricultural areas, Eur. J. Soil Sc., 72, 2, pp. 842-862, (2021). [CrossRef] [Google Scholar]
  9. R. Mukhopadhyay, B. Sarkar, H. Sahay Jat, P. Chander Sharma, N. S. Bolan, Soil salinity under climate change: Challenges for sustainable agriculture and food security, Jour. Envi. Man., 280, 111736, (2021). [Google Scholar]
  10. J.P. Aryal, T.B. Sapkota, R. Khurana, A. Khatri- Chhetri, D.B. Rahut, M.L. Jat, Climate change and agriculture in South Asia: adaptation options in smallholder production systems, 22, 5045–5075, (2020). [Google Scholar]
  11. R. Akhter, S. Ahmad Sofi, Precision agriculture using IoT data analytics and machine learning, J. K. S. Univ. Comp. and I. Sci., 34, 8, 5602-5618, (2022). [Google Scholar]
  12. K. Obaideen, B.A.A. Yousef, M. N. AlMallahi, Y. C. Tan, M. Mahmoud, H. Jaber, M. Ramadan, An overview of smart irrigation systems using IoT, E. Nex., 7, 100124, (2022). [Google Scholar]
  13. H. Yin, Y. Cao, B. Marelli, X. Zeng, A. J. Mason, C. Cao, Soil Sensors and Plant Wearables for Smart and Precision Agriculture, Adv. Mater., 33, (2021). [Google Scholar]
  14. W. Luo, M. Chen, Y. Kang, W. Li, D. Li, Y. Cui, S. Khan, Y. Luo, Analysis of crop water requirements and irrigation demands for rice: Implications for increasing effective rainfall, Agri. W. Man., 260, 107285, (2022). [CrossRef] [Google Scholar]
  15. S. Arshad, J. H. Kazmi, F. A. Prodhan, S. Mohammed, Exploring dynamic response of agrometeorological droughts towards winter wheat yield loss risk using machine learning approach at a regional scale in Pakistan, F. Cr. Res.,302, 109057, (2023). [CrossRef] [Google Scholar]
  16. M.G. Nayagam, B. Vijayalakshmi, K. Somasundaram, M.A. Mukunthan, C.A. Yogaraja, P. Partheeban, Control of pests and diseases in plants using IOT Technology, M. Sen.,26, 100713, (2023). [Google Scholar]
  17. S. A. Mokhtor, D. E. Pebrian, N. A. A. Johari, Actual field speed of rice combine harvester and its influence on grain loss in Malaysian paddy field, J. Sa. Soc. Agri. Sci., 19, 6, pp 422-425, (2020). [Google Scholar]
  18. Z. S. Esfandabadi, M. Ranjbari, S. D. Scagnelli, The imbalance of food and biofuel markets amid Ukraine-Russia crisis: A systems thinking perspective, Bio. Res. J., 9, 2, pp. 1640-1647,(2022). [Google Scholar]
  19. O. Friha, M. A. Ferrag, L. Shu, L. Maglaras and X. Wang, Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies, IEEE/CAA J. of Automatica Sinica, 8, 4, pp. 718-752, (2021). [CrossRef] [Google Scholar]
  20. H. Haraldsson, Introduction to System Thinking and Causal Loop Diagrams, R. Eco. Env. Eng., Lund Univ., 22100 Lund, Sweden(2004). [Google Scholar]
  21. T. Saranya, C. Deisy, S. Sridevi, K. S. M. Anbananthen, A comparative study of deep learning and Internet of Things for precision agriculture, Eng. Appl. of Art. Int., 122, 106034, (2023). [CrossRef] [Google Scholar]
  22. F. K. Shaikh, S. Karim, S. Zeadally and J. Nebhen, Recent Trends in Internet-of-Things-Enabled Sensor Technologies for Smart Agriculture, IEEE Internet of Things J., 9, 23, pp. 23583-23598, (2022). [CrossRef] [Google Scholar]
  23. D. Xie, L. Chen, L. Liu, L. Chen, H. Wang, Actuators and Sensors for Application in Agricultural Robots: A Review, Mach., 10, (2022). [Google Scholar]
  24. N. Islam, MM. Rashid, F. Pasandideh, B. Ray, S. Moore, R. Kadel, A Review of Applications and Communication Technologies for Internet of Things (IoT) and Unmanned Aerial Vehicle (UAV) Based Sustainable Smart Farming, Sust., 13, 4, (2021). [Google Scholar]
  25. V. R. Pathmudi, N. Khatri, S. Kumar, A.S.H. Abdul-Qawy, A. K. Vyas, A systematic review of IoT technologies and their constituents for smart and sustainable agriculture applications, Sci. African, 19, (2023). [Google Scholar]
  26. A. Névéol, W. J. Wilbur, Z. Lu, Extraction of data deposition statements from the literature: a method for automatically tracking research results, Bio., 27, 23, pp. 3306–3312, (2011). [Google Scholar]
  27. F. Rahma and A. Romadhony, Rule-Based Crime Information Extraction on Indonesian Digital News, in Proceedings of the 4th International Conference on Data Science and Its Applications (ICoDSA), ICoDSA 2021, October 6-7th 2021, Bandung, West Java, Indonesia(2021). [Google Scholar]
  28. J. D. Sterman, Business Dynamics: Systems Thinking and Modeling for a Complex World, McGraw-Hill Inc, (2020). [Google Scholar]
  29. E. Suryani, R. A. Hendrawan, Damanhuri, U. E. Rahmawati, S.Y. Chou, Scenario development to create a sustainable price of rice: A system thinking approach, in Proceedings Sixth Information Systems International Conference, ISICO 2021, August 7-8th 2021, Surabaya, East Java, Indonesia (2022). [Google Scholar]
  30. S. K. Khan, N. Shiwakoti, P. Stasinopoulos, A conceptual system dynamics model for cybersecurity assessment of connected and autonomous vehicles, Acc. An. & Pre., 165, 106515, (2022). [CrossRef] [Google Scholar]
  31. A. Nita, Y. Sunitiyoso, A. R. Tiara, A. A. Kim, Exploring decision making factors in public buildings’ energy efficiency projects, E. and B., 298, 113563, (2023). [Google Scholar]
  32. M. Scorrano, R. Danielis, Simulating electric vehicle uptake in Italy in the small-to-medium car segment: A system dynamics/agent-based model parametrized with discrete choice data, Res. in Trans. Bus. & Man., 43, 100736, (2022). [Google Scholar]
  33. N. Z. Abidin, S. D. Applanaidu, M. B. Abdullahi, S. Bakar, Understanding Paddy Productivity At Mada Estate From A System Dynamics Perspective: A Mapping Tool Of Causal Loop Diagram, J. Sus. Sci. and Man., 18, 2, 81-102, (2023). [Google Scholar]
  34. E. Suryani, R. A. Hendrawan, I. Muhandhis & R. Indraswari, A simulation model to improve the value of rice supply chain (A case study in East Java – Indonesia), J. of Sim., 16, 4, (2022). [Google Scholar]
  35. M. Tudi, H.D. Ruan, L. Wang, J. Lyu, R. Sadler, D. Connell, C. Chu, & D.T. Phung, Agriculture Development, Pesticide Application and Its Impact on the Environment, Int. J. Environ. Res. Public Health., 18, 3, (2021). [Google Scholar]
  36. C. A. Hernández-Morales, J.M. Luna-Rivera, R. Perez-Jimenez, Design and deployment of a practical IoT-based monitoring system for protected cultivations, Comp. Comm., 186, (2022). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.