Crop Recommendation and Irrigation System Using Machine Learning with Integrated IoT Devices

1. Jesi VE et al (2022) IoT enabled smart irrigation and cultivation recommendation system for precision agriculture. ECS Trans 107(1):5953–5967

   Google Scholar 

2. Rakesh A, Sahu P, Vinoth Kumar CNS et al (2020) Crop recommendation and automated irrigation system. Int J Innovat Technol Expl Eng 9(6); Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, Apr. 2020, pp 1458–62. Crossref https://doi.org/10.35940/ijitee.e4158.049620.

3. https://mospi.gov.in/4-agricultural-statistics

4. Reddy DA et al (2019) Crop recommendation system to maximize crop yield in ramtek region using machine learning. Int J Sci Res Sci Technol, Technosc Acad 485–89. Crossref. https://doi.org/10.32628/ijsrst196172

5. Gor A et al (2023) Automation in irrigation using IoT and ML based crop recommendation system. ResearchGate

   Google Scholar 

6. Zampieri M, Ceglar A, Dentener F, Toreti A (2017) Wheat yield loss attributable to heat waves, drought and water excess on the global, national and subnational scales. Environ Res Lett 12:064008

   Article  Google Scholar 

7. Peraka S et al (2020) Smart irrigation based on crops using IoT. 2020 IEEE 15th international conference on industrial and information systems (ICIIS), IEEE, pp 611–616

   Google Scholar 

8. Pavan Kumar T, Kumar Lala S, Sravani B, Sandeep A et al (2018) Internet of things survey on crop field smart irrigation automation using IoT. Int J Eng Technol 7(2.8):503

   Google Scholar 

9. Sharma B, Kumar N (2021) IoT-based intelligent irrigation system for paddy crop using an internet-controlled water pump. Int J Agricul Environ Inf Syst 12:21–36. https://doi.org/10.4018/IJAEIS.20210101.oa2

   Article  Google Scholar 

10. Kumar A, Bhagavan K, Akhil V, Singh A (2017) Wireless network-based smart irrigation system using IOT. Int J Eng Technol 7:342. https://doi.org/10.14419/ijet.v7i1.1.9849

11. Rani D, Kumar N, Bhushan B (2019) Implementation of an automated irrigation system for agriculture monitoring using IoT communication, pp 138–143. https://doi.org/10.1109/ISPCC48220.2019.8988390

12. Atta R, Boutraa T, Akhkha A et al (2011) Smart irrigation system for wheat in saudi arabia using wireless sensors network technology. Psipw.org

    Google Scholar 

13. Poonia A, Banerjee C, Banerjee A, Sharma S (2021) Smart agriculture using internet of things (IoT) and wireless sensor network: problems and prospects. https://doi.org/10.1007/978-981-16-0942-8_72

14. Mahendra N (2020) Crop prediction using machine learning approaches. Int J Eng Res Technol V9(08), ESRSA Publications Pvt. Ltd., Aug. 2020. Crossref. https://doi.org/10.17577/ijertv9is080029

15. Kumar R, Singh M, Kumar P, Singh J (2015) Crop selection method to maximize crop yield rate using machine learning technique. https://doi.org/10.1109/ICSTM.2015.7225403

16. Aakunuri M, Narsimha G (2023) Crop recommendation and yield prediction for agriculture using data mining techniques. Jetir.org. Accessed 12 Apr 2023

    Google Scholar 

17. Pandey S, Shrivastava A, Vijay R, Bhandari S et al (2019) A review on smart irrigation and crop prediction system. SSRN Electronic J

    Google Scholar 

18. Gori A, Singh M, Thanawala O, Vishwakarma A, Shaikh A et al (2007) Smart irrigation system using IoT. IJARCCE, ISO 3297:2007

    Google Scholar 

19. Bandara P, Weerasooriya T, RT H, Nanayakkara WJM, Dimantha MAC, Pabasara MGP (2020) Crop recommendation system. ResearchGate

    Google Scholar 

20. Ommane Y, Rhanbouri MA, Chouikh H, Jbene M, Chairi I, Lachgar M, Benjelloun S et al (2022) Machine learning based recommender systems for crop selection: a systematic literature review. Res Square Platform LLC, Sept. 2022. Crossref. https://doi.org/10.21203/rs.3.rs-1224662/v2

21. Dighe D, Joshi H, Katkar A, Patil S, Kokate S et al (2008) “Survey of crop recommendation systems. Irjet.net. https://www.irjet.net/archives/V5/i11/IRJET-V5I1190.pdf

22. Shivaprasad KM, Madhu Chandra G, Vidya J (2023) Sustainable automated CROP irrigation design system based on IoT and machine learning. Kalaharijournals.com, Accessed 12 Apr 2023

    Google Scholar 

23. Kurundkar S, Panzade V, Nagdeve S, Habibi M, Mane M et al (2023) IoT based smart irrigation system. Ymerdigital.com, https://ymerdigital.com/uploads/YMER2111L0.pdf. Accessed 12 Apr 2023

24. Faisal RH, Saha C, Hasan MH, Kumar Kundu P (2018)Power efficient distant controlled smart irrigation system for AMAN and BORO Rice. In: 2018 21st international conference of computer and information technology (ICCIT), Dhaka, Bangladesh, pp 1–5. https://doi.org/10.1109/ICCITECHN.2018.8631927

25. García LS et al (2020) IoT-based smart irrigation systems: an overview on the recent trends on sensors and IoT systems for irrigation in precision agriculture. Sensors MDPI 20(4):1042

    Google Scholar 

26. Khriji S, El Houssain D, Jmal MW, Viehweger C, Abid M, Kanoun O et al (2014) Precision irrigation based on wireless sensor network. IET Sci Meas Technol Inst Eng Technol (IET)8(3):98–106. Crossref. https://doi.org/10.1049/iet-smt.2013.0137

27. Kapse R et al (2023) Smart irrigation system and best crop suggestion. Ijirt.org, Accessed 12 Apr 2023

    Google Scholar 

28. Fazil M, Rohan S, Ashritha C, Nagesh Shetty, Ramalingam HM et al (2022) Smart irrigation for crop management using IoT. Int J Multidisc Res Anal 05(05); Everant J Crossref. https://doi.org/10.47191/ijmra/v5-i5-06

29. Vallejo-Gómez D, Osorio M, Hincapié CA et al (2023) Smart irrigation systems in agriculture: a systematic review. Agronomy 13(2) MDPI AG, Jan. 2023, p 342. Crossref, https://doi.org/10.3390/agronomy13020342

30. Ministry of Jal Shakti: http://mowr.gov.in/

31. Central Water Commission: http://cwc.gov.in/

32. Indian Council of Agricultural Research: https://www.icar.org.in/

33. National Institute of Hydrology: http://nihroorkee.gov.in/

34. Indian Meteorological Department: https://mausam.imd.gov.in/

35. https://data.gov.in/

36. https://agritech.tnau.ac.in/govt_schemes_services/govt_serv_schems_nadp_tnau_11_12_Soil.html

37. Jeevan Y, Nagendra Kumar VS, Vaishnavi VS, Neha K, Devi VGRR et al (2020) Supervised machine learning approach for crop yield prediction in agriculture sector. In: 2020 5th international conference on communication and electronics systems (ICCES), IEEE, June 2020. Crossref. https://doi.org/10.1109/icces48766.2020.9137868

38. Kumar V, Dave V, Bhadauriya R, Chaudhary S (2013) KrishiMantra agricultural recommendation system. In: ACM symposium of computing for development, Bangalore, India, pp 1–2

    Google Scholar 

39. Vaishali S, Suraj S, Vignesh G, Dhivya S, Udhayakumar S (2017) Mobile integrated smart irrigation management and monitoring system using IoT. In: 2017 International conference on communication and signal processing (ICCSP), Chennai, India, pp 2164–2167. https://doi.org/10.1109/ICCSP.2017.8286792

40. Hate M, Jadhav S, Patil H (2018) Vegetable traceability with smart irrigation. In: 2018 international conference on smart city and emerging technology (ICSCET), Mumbai, India, pp 1–4. https://doi.org/10.1109/ICSCET.2018.8537253

41. Sadia S et al (2021) A fruit cultivation recommendation system based on pearson’s correlation co-efficient. In: 2021 International conference on information and communication technology for sustainable development (ICICT4SD), pp 361–365

    Google Scholar 

42. Ajmera A, Bhandari M, Kumar Jain H, Agarwal S et al (2022) Crop, fertilizer, and irrigation recommendation using machine learning techniques. Int J Res Appl Sci Eng Technol 10(12); Int J Res Appl Sci Eng Technol (IJRASET), pp 29–35. Crossref

    Google Scholar 

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