Solar Grow Net: Autonomous Greenhouse Monitoring and Control System

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 13 | 03 | Page :
    By

    Shravani P. Chavan,

  • Sakshi M. Bhaganagare,

  • R.G. Ghodake,

  1. Student, Electronics and Telecommunication SKN Sinhgad Collage of Engineering. pandharpur, Maharashtra, India
  2. Student, Electronics and Telecommunication SKN Sinhgad Collage of Engineering. pandharpur, Maharashtra, India
  3. Assistant Professor, Electronics and Telecommunication SKN Sinhgad Collage of Engineering. pandharpur, Maharashtra, India

Abstract

This paper presents the development of an IoT-based, solar-powered greenhouse monitoring and control system designed to optimize environmental conditions for plant growth. The system uses multiple sensors to measure parameters such as temperature, humidity, soil moisture, air quality, and light intensity. Based on sensor readings, actuators including water pumps, fans, and lighting systems are automatically triggered to maintain ideal growing conditions. An ATmega328 microcontroller controls the entire system, while solar panels provide a renewable power source, ensuring continuous operation. Data is transmitted to a cloud platform for real-time remote monitoring and control via a web interface. The system significantly reduces manual labour, enhances plant health, and demonstrates the potential of combining IoT and green energy technologies for sustainable agriculture.

Keywords: IOT (Internet of Things), Greenhouse Monitoring, Solar-powered Systems, Environmental Sensors, Time Monitoring, Microcontroller, Things-peak

How to cite this article:
Shravani P. Chavan, Sakshi M. Bhaganagare, R.G. Ghodake. Solar Grow Net: Autonomous Greenhouse Monitoring and Control System. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(03):-.
How to cite this URL:
Shravani P. Chavan, Sakshi M. Bhaganagare, R.G. Ghodake. Solar Grow Net: Autonomous Greenhouse Monitoring and Control System. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(03):-. Available from: https://journals.stmjournals.com/rrjoesa/article=2025/view=230710


References

  1. Godase MV, Mulani A, Ghodak MR, Birajadar MG, Takale MS, Kolte MA. A MapReduce and Kalman Filter based secure IIoT environment in Hadoop. Sanshodhak. 2024;19.
  2. Gadade B, Mulani AO, Harale AD. IoT-based smart school bus and student tracking system. Sanshodhak. 2024;19.
  3. Dhanawadel A, Mulani AO, Pise AC. IoT-based smart farming using Agri BOT. Sanshodhak. 2024;20.
  4. Mulani A, Mane PB. DWT-based robust invisible watermarking. Saarbrücken: Scholars’ Press; 2016.
  5. Ghodke RG, Birajdar GB, Mulani AO, Shinde GN, Pawar RB. Design and development of an efficient and cost-effective surveillance quadcopter using Arduino. Sanshodhak. 2024;20.
  6. Ghodke RG, Birajdar GB, Mulani AO, Shinde GN, Pawar RB. Design and development of wireless controlled robot using Bluetooth technology. Sanshodhak. 2024;20.
  7. Swami SS, Mulani AO. An efficient FPGA implementation of discrete wavelet transform for image compression. In: 2027 Int Conf on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE; 2017. p. 3385–9.
  8. Mane PB, Mulani AO. High-speed, area-efficient FPGA implementation of AES algorithm. Int J Reconfigurable Embedded Syst. 2018;7(3):157–65.
  9. Mulani AO, Mane PB. Area-efficient high-speed FPGA-based invisible watermarking for image authentication. Indian J Sci Technol. 2016;9(39):1–6.
  10. Kashid MM, Karande KJ, Mulani AO. IoT-based environmental parameter monitoring using machine learning approach. In: Proc ICCIC 2021. Singapore: Springer; 2022. p. 43–51.
  11. Nagane UP, Mulani AO. Moving object detection and tracking using MATLAB. J Sci Technol. 2021;6(1).
  12. Kulkarni PR, Mulani AO, Mane PB. Robust invisible watermarking for image authentication. In: Emerging Trends in Electrical, Communications and Information Technologies. Singapore: Springer; 2016. p. 193–200.
  13. Ghodake MRG, Mulani MA. Sensor-based automatic drip irrigation system. J Res. 2016;2(2).
  14. Mandwale AJ, Mulani AO. Different approaches for implementation of Viterbi decoder on reconfigurable platform. In: 2015 Int Conf on Pervasive Computing (ICPC). IEEE; 2015. p. 1–4.
  15. Jadhav MM, Chavan GH, Mulani AO. Machine learning-based autonomous fire combat turret. Turk J Comput Math Educ. 2021;12(2):2372–81.
  16. Shinde G, Mulani A. A robust digital image watermarking using DWT-PCA. Int J Innov Eng Res Technol. 2019;6(4):1–7.
  17. Mane DP, Mulani AO. High-throughput and area-efficient FPGA implementation of AES algorithm. Int J Eng Adv Technol. 2019;8(4).
  18. Mulani AO, Mane DP. An efficient implementation of DWT for image compression on reconfigurable platform. Int J Control Theory Appl. 2017;10(15):1–7.
  19. Deshpande HS, Karande KJ, Mulani AO. Area-optimized implementation of AES algorithm on FPGA. In: 2015 Int Conf on Communications and Signal Processing (ICCSP). IEEE; 2015. p. 10–4.
  20. Kulkarni P, Mulani AO. Robust invisible digital image watermarking using discrete wavelet transform. Int J Eng Res Technol. 2015;4(1):139–41.
  21. Mulani AO, Jadhav MM, Seth M. Non-invasive blood glucose concentration level estimation using PCA and machine learning. In: AI, IoT and Smart Materials for Energy Applications. CRC Press; 2022. p. 83–100.
  22. Mulani AO, Shinde GN. An approach for robust digital image watermarking using DWT-PCA. J Sci Technol. 2021;6(1).
  23. Mulani AO, Mane PB. Area optimization of cryptographic algorithm on less dense reconfigurable platform. In: 2014 Int Conf on Smart Structures and Systems (ICSSS). IEEE; 2014. p. 86–9.
  24. Jadhav HM, Mulani A, Jadhav MM. Design and development of chatbot based on reinforcement learning. In: ML Algorithms for Signal and Image Processing. 2022. p. 219–29.
  25. Mulani AO, Mane P. Secure and area-efficient implementation of digital image watermarking on reconfigurable platform. Int J Innov Technol Explor Eng. 2018;8(2):56–61.
  26. Kalyankar PA, Mulani AO, Thigale SP, Chavhan PG, Jadhav MM. Scalable face image retrieval using AESC technique. J Algebraic Stat. 2022;13(3):173–6.
  27. Takale S, Mulani A. DWT-PCA-based video watermarking. J Electron Comput Netw Appl Math. 2022;2799-1156.
  28. Kamble A, Mulani AO. Google assistant-based device control. Int J Aquat Sci. 2022;13(1):550–5.
  29. Kondekar RP, Mulani AO. Raspberry Pi-based voice-operated robot. Int J Recent Eng Res Dev. 2017;2(12):69–76.
  30. Ghodake RG, Mulani AO. Microcontroller-based automatic drip irrigation system. In: Techno-Societal 2016. Springer; 2018. p. 109–15.
  31. Mulani AO, Birajadar G, Ivković N, Salah B, Darlis AR. Deep learning-based detection of dermatological diseases using CNN and decision trees. Trait Signal. 2023;40(6):2819.
  32. Boxey A, Jadhav A, Gade P, Ghanti P, Mulani AO. Face recognition using Raspberry Pi. J Image Process Intell Remote Sens. 2022;2815-0953.
  33. Patale JP, Jagadale AB, Mulani AO, Pise A. A systematic survey on estimation of electrical vehicle. J Electron Comput Netw Appl Math. 2023;2799-1156.
  34. Gadade B, Mulani A. Automatic system for car health monitoring. Int J Innov Eng Res Technol. 2022;57–62.
  35. Shinde MRS, Mulani AO. Analysis of biomedical image using wavelet transform. Int J Innov Eng Res Technol. 2015;2(7):1–7.
  36. Mandwale A, Mulani AO. Implementation of convolutional encoder & different approaches for Viterbi decoder. In: IEEE ICCSPCIT. 2014.
  37. Mulani AO, Jadhav MM, Seth M. Painless machine learning approach to estimate blood glucose level with non-invasive devices. In: AI, IoT and Smart Materials for Energy Applications. CRC Press; 2022. p. 83–100.
  38. Maske Y, Jagadale AB, Mulani AO, Pise AC. Development of BIOBOT system to assist COVID patient and caretakers. Eur J Mol Clin Med. 2023;10(1).
  39. Utpat VB, Karande DK, Mulani DA. Grading of pomegranate using quality analysis. Int J Res Appl Sci Eng Technol. 2022;10.
  40. Takale S, Mulani DA. Video watermarking system. Int J Res Appl Sci Eng Technol. 2022;10.
  41. Mandwale A, Mulani AO. Different approaches for implementation of Viterbi decoder. In: IEEE Int Conf Pervasive Computing (ICPC). 2015.
  42. Maske Y, Jagadale MA, Mulani AO, Pise A. Implementation of BIOBOT system for COVID patient and caretakers using IoT. Int J Inf Technol. 2021;30–43.
  43. Mulani AO, Mane DP. Fast and efficient VLSI implementation of DWT for image compression. Int J Res Appl Sci Eng Technol. 2016;5:1397–402.
  44. Kambale A. Home automation using Google Assistant. UGC Care J. 2023;32(1):1071–7.
  45. Pathan AN, Shejal SA, Salgar SA, Harale AD, Mulani AO. Hand gesture controlled robotic system. Int J Aquat Sci. 2022;13(1):487–93.
  46. Korake DM, Mulani AO. Design of computer/laptop independent data transfer system using ARM11. Int J Sci Eng Technol Res. 2016.
  47. Mandwale A, Mulani AO. Implementation of high-speed Viterbi decoder using FPGA. Int J Eng Res Technol. 2016.
  48. Kolekar SD, Walekar VB, Patil PS, Mulani AO, Harale AD. Password-based door lock system. Int J Aquat Sci. 2022;13(1):494–501.
  49. Shinde R, Mulani AO. Analysis of biomedical image. Int J Recent Innov Trend Technol. 2015.
  50. Sawant RA, Mulani AO. Automatic PCB track design machine. Int J Innov Sci Res Technol. 2022;7(9).
Ahead of Print Subscription Review Article
Volume 13
03
Received 17/05/2025
Accepted 22/08/2025
Published 07/11/2025
Publication Time 174 Days
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