Plant Recommendation System Using Smart Irrigation Integrated with IoT and Machine/Deep Learning

References

• Abdennour, M. A., J. F. L. Contador, J. B. González, C. Piccini, A. G. Landaverde, and M. P. Fernández. 2023. Characterization of the water bodies of Extremadura (SW Spain). Environmental Monitoring and Assessment 195 (5):564.
   PubMed Web of Science ®Google Scholar
• Ahmad, I., M. Hamid, S. Yousaf, S. T. Shah, and M. O. Ahmad. 2020. Optimizing pretrained convolutional neural networks for tomato leaf disease detection. Complexity 1–6.
   Web of Science ®Google Scholar
• AlSarmi, L. Y., and M. R. Puttaswamy. 2019. IoT in agriculture: a smart forming in apartment building at sultanate of oman. Journal of Student Research.
   Google Scholar
• Andrianto, H., A. Faizal, and F. Armandika. 2020. Smartphone application for deep learning-based rice plant disease detection. Proceedings of the 2020 international conference on information technology systems and innovation (ICITSI), Bandung, Indonesia, 387–92. IEEE.
   Google Scholar
• Azath, M., M. Zekiwos, and A. Bruck. 2021. Deep learning-based image processing for cotton leaf disease and pest diagnosis. Journal of Electrical and Computer Engineering 2021.
   Web of Science ®Google Scholar
• Bradai, A., I. Yahiaoui, A. Douaoui, M. A. Abdennour, A. Gulakhmadov, and X. Chen. 2022. Combined modeling of multivariate analysis and geostatistics in assessing groundwater irrigation sustenance in the middle cheliff plain (North Africa). Water 14 (6):924. doi:10.3390/w14060924.
   Web of Science ®Google Scholar
• Choudhary, S., V. Gaurav, A. Singh, and S. Agarwal. 2019. Autonomous crop irrigation system using artificial intelligence. International Journal of Engineering and Advanced Technology 8 (5):46–51.
   Google Scholar
• Devanand Kumar, G., B. Vidheya Raju, and D. Nandan. 2020. A review on the smart irrigation system. Journal of Computational and Theoretical Nanoscience 17 (9–10):4239–43.
   Google Scholar
• Dung, L. T., and N. T. K. Hiep. 2017. The revolution of agriculture 4.0 and sustainable agriculture development in vietnam. Proceedings of the International Conference on Emerging Issues in Economics and Business in the Context of International Integration. National Economics University Press Hanoi.
   Google Scholar
• Femi, C. L., K. U. Umamagesh, and P. Kannan. 2018. Automated irrigation system using IoT. International Journal of Engineering Research & Technology (IJERT) 6 (2): 780–81.
   Google Scholar
• Goap, A., D. Sharma, A. K. Shukla, and C. R. Krishna. 2018. An IoT based smart irrigation management system using machine learning and open source technologies. Computers and Electronics in Agriculture 155:41–49. doi:10.1016/j.compag.2018.09.040.
   Web of Science ®Google Scholar
• Gutiérrez, J., J. F. Villa-Medina, A. Nieto-Garibay, and M. Á. Porta-Gándara. 2013. Automated irrigation system using a wireless sensor network and GPRS module. IEEE Transactions on Instrumentation and Measurement 63 (1):166–76.
   Web of Science ®Google Scholar
• Islam, M. S., and G. K. Dey. 2019. Precision agriculture: Renewable energy based smart crop field monitoring and management system using WSN via IoT. Proceedings of the 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka, Bangladesh, 1–6. IEEE.
   Google Scholar
• Jana, A. K. 2020. IoT-based smart irrigation system with water generator. International Journal for Research in Applied Science & Engineering Technology (IJRASET) 8:260–267.
   Google Scholar
• Jayaraj, D., R. P. Aneesh, P. S. Sooraj, S. A. Lekshmi, and P. Deenath. 2020. Smart agro: iot based rice plant health monitoring system. International Journal of Innovations & Implementations in Engineering 1:54–60.
   Google Scholar
• Jha, K., A. Doshi, and P. Patel. 2018. Intelligent irrigation system using artificial intelligence and machine learning: a comprehensive review. International Journal of Advanced Research (IJAR) 6 (10):1493–502. doi:10.21474/IJAR01/7959.
   Google Scholar
• Kalpana, A. V., T. Chandrasekar, S. R. Devi, and T. J. Jeaunita. 2021. Automated irrigation system with pest detection using IoT with OTSU algorithm. Further Advances in Internet of Things in Biomedical and Cyber Physical Systems 193:209–17.
   Google Scholar
• Karar, M. E., M. F. Al-Rasheed, A. F. Al-Rasheed, and O. Reyad. 2020. IoT and neural network-based water pumping control system for smart irrigation. Information Sciences Letters 9:107–12.
   Google Scholar
• Kumar, A., and R. Ambika. 2020. Drone integrated weather sensors for agriculture purpose. Journal of Electrical Engineering & Technology 11 (5):83–90.
   Google Scholar
• Kumar, S. V., C. D. Singh, and K. Upendar. 2020. Review on IoT based precision irrigation system in agriculture. Current Journal of Applied Science and Technology 39 (45):15–26. doi:10.9734/cjast/2020/v39i4531156.
   Google Scholar
• Kurkute, S. R., B. D. Deore, P. Kasar, M. Bhamare, and M. Sahane. 2018. Drones for smart agriculture: A technical report. International Journal for Research in Applied Science and Engineering Technology 6 (4):341–46.
   Google Scholar
• Leh, N. A. M., M. S. A. M. Kamaldin, Z. Muhammad, and N. A. Kamarzaman. 2019. Smart irrigation system using internet of things. Proceedings of the 2019 IEEE 9th international conference on system engineering and technology (ICSET), Shah Alam, Malaysia, 96–101. IEEE.
   Google Scholar
• NagaGeetha, M., and N. V. K. Ramesh. 2018. An efficient IoT based smart irrigation system and plant diseases detection: A review. International Journal of Engineering and Technology (UAE) 7 (2.7):661–64. doi:10.14419/ijet.v7i2.7.10918.
   Google Scholar
• Naik, P. K., A. Kumbi, K. Katti, and N. Telkar. 2018. Automation of irrigation system using IoT. International Journal of Engineering and Manufacturing Science 8 (1):77–88.
   Google Scholar
• Na, A., W. Isaac, S. Varshney, and E. Khan. 2016. An IoT based system for remote monitoring of soil characteristics. Proceedings of the 2016 International conference on information technology (InCITe)-the next generation IT summit on the theme-internet of things: Connect your Worlds, Noida, India, 316–20. IEEE.
   Google Scholar
• Nayyar, A., and V. Puri. 2016. Smart farming: IoT based smart sensors agriculture stick for live temperature and moisture monitoring using arduino, cloud computing & solar technology. Proceedings of The International Conference on Communication and Computing Systems (ICCCS-2016), Gurgaon, India, 9781315364094–121.
   Google Scholar
• Pakyala, S., C. V. Balusu, A. T. Motupalli, and S. Sundar. 2021. Smart agriculture using iot and machine learning. Journal of Scientific Research & Technology (JSRT), 47–59.
   Google Scholar
• Pandey, A. 2019. Smart irrigation system. https://www.researchgate.net/publication/338488146_Smart_Irrigation_System.
   Google Scholar
• Ramachandran, V., R. Ramalakshmi, and S. Srinivasan. 2018. An automated irrigation system for smart agriculture using the internet of things. Proceedings of the 2018 15th International conference on control, automation, robotics and vision (ICARCV), 210–15. IEEE.
   Google Scholar
• Rohith, M., R. Sainivedhana, and N. S. Fatima. 2021. IoT enabled smart farming and irrigation system. Proceedings of the 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 434–39. IEEE.
   Google Scholar
• Roy, S. K., and D. De. 2022. Genetic algorithm based internet of precision agricultural things (IopaT) for agriculture 4.0. Internet of Things 18:100201. doi:10.1016/j.iot.2020.100201.
   Google Scholar
• Sharma, B. B., and N. Kumar. 2021. Iot-based intelligent irrigation system for paddy crop using an internet-controlled water pump. International Journal of Agricultural and Environmental Information Systems (IJAEIS) 12 (1):21–36. doi:10.4018/IJAEIS.20210101.oa2.
   Web of Science ®Google Scholar
• Sharma, S., R. Sharma, and R. Kumar. 2021. Pest detection in plants using convolutional neural network. International Journal for Research in Applied Science and Engineering Technology 9:1583–92.
   Google Scholar
• Sivakumar, N., P. Thiyagarajan, and R. Sandhiya. 2018. IoT based on smart agriculture. International Journal of Scientific & Engineering Research 9 (4):12345.
   Google Scholar
• Srivastava, R., V. Sharma, V. Jaiswal, and S. Raj. 2020. A research paper on smart agriculture using IoT. International Research Journal of Engineering & Technology (IRJET) 7 (7):2708–10
   Google Scholar
• Sudarshan, K. G., R. R. Hegde, K. Sudarshan, and S. Patil. 2019. Smart agriculture monitoring and protection system using IOT. Perspectives in Communication, Embedded-Systems and Signal-Processing-PiCES 2 (12):308–10.
   Google Scholar
• Tapakire, B. A., and M. M. Patil. 2019. IoTbased smart agriculture using thingspeak. International Journal Engineering Research Technology 8 (185):10–17577.
   Google Scholar
• Umair, S. M., and R. Usman. 2010. Automation of irrigation system using ANN based controller. International Journal of Electrical & Computer Sciences IJECS-IJENS 10 (2):41–47.
   Google Scholar
• United Nations. 2017. World population projected to reach 9.8 billion in 2050, and 11.2 billion in 2100. Accessed March 2022. https://www.un.org/en/desa/world-population-projected-reach-98-billion-2050-and-112-billion-2100.
   Google Scholar
• Vahora, M., K. Chudasma, and N. Patel. 2020. IoT-based smart irrigation system. International Research Journal of Engineering & Technology 7:1914–20.
   Google Scholar
• Yashaswini, L. S., H. U. Vani, H. N. Sinchana, and N. Kumar. 2017. Smart automated irrigation system with disease prediction. Proceedings of the 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, India, 422–27. IEEE.
   Google Scholar