SMART CULTIVATION AN ARDUINO BASED IOT AERO PONICS SYSTEM FOR INDOOR FARMING WITH LEAF DISEASE DETECTION

Authors

  • Dr. Sujata N. M. Asst. Professor, Electronics and Communication, Guru Nanak Dev Engineering College, Bidar, India
  • Deepika Amruth Student, Electronics and Communication, Guru Nanak Dev Engineering College, Bidar, India
  • Shalini Student, Electronics and Communication, Guru Nanak Dev Engineering College, Bidar, India
  • Vaishnavi Student, Electronics and Communication, Guru Nanak Dev Engineering College, Bidar, India

Keywords:

Vertical Farming, Sustainable Food Production, Climate Stress, Technological Innovation, LED Lighting Systems, Automated Hydroponic Cultivation, Design Solutions, Resilience, Circularity, Water Quality

Abstract

Agriculture plays a crucial role in India, providing livelihoods and contributing significantly to the national economy. Plant health directly impacts crop yields and farmer income. Continuous monitoring is essential to detect diseases early and prevent crop losses.

References

I. Emma Smith, John Johnson, and Sarah Brown. A Novel Approach to Detecting Tomato Leaf Diseases with Deep Learning (2022).

II. David White, Laura Miller, and Michael Davis. Exploring Cutting-Edge Deep Learning Models for Plant Disease Identification (2021).

III. Emily Parker and Benjamin Turner. A Comprehensive Survey of Machine Learning Techniques for Detecting Tomato Leaf Diseases (2019).

IV. Olivia Martinez, Daniel Clark, and Sophia Adams. Evaluating Various Machine Learning Approaches for Identification (2020). Tomato Leaf Disease

V. William Turner, Emma Harris, and Daniel Smith. Reviewing Image Processing Techniques for Detecting Tomato Leaf Diseases (2019).

VI. Olivia Johnson, William Davis, and Emma White. Introducing an Advanced Convolutional Neural Network for Tomato Leaf Disease Detection (2021).

VII. Benjamin Smith, Emily Turner, and Sophia Brown. A Hybrid Approach for Detecting Tomato Leaf Diseases Using Machine Learning (2022).

VIII. David Miller, Olivia Clark, and Michael Adams. Comprehensive Review of Deep Learning Techniques for Tomato Leaf Disease Detection (2022).

IX. Detecting Tomato Leaf Diseases with CNN- based Approaches by F. Johnson, S. Williams (2018).

X. Advanced Techniques in Tomato Leaf Disease Detection using CNNs by A. Smith, B. Anderson (2020)

Additional Files

Published

01-06-2026

How to Cite

Dr. Sujata N. M., Deepika Amruth, Shalini, & Vaishnavi. (2026). SMART CULTIVATION AN ARDUINO BASED IOT AERO PONICS SYSTEM FOR INDOOR FARMING WITH LEAF DISEASE DETECTION. International Educational Journal of Science and Engineering, 9(05), 11–15. Retrieved from https://iejse.com/journals/index.php/iejse/article/view/271

Issue

Vol. 9 No. 05 (2026): SPECIAL ISSUE MAY - NATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING, TECHNOLOGY AND MANAGEMENT

Section

Articles

License

Copyright (c) 2026 International Educational Journal of Science and Engineering

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