IOT Based Smart Farming Using Machine Learning

Abstract

Agriculture is one of the most important factors for economic growth for any country. Agriculture plays a very crucial role in increasing the economy of many developing countries. India, being one of the major countries in the world for producing vast amounts of different crops, still uses traditional techniques in the field of agriculture. Farmers not only face problems in coping with the changing climatic conditions but also need to meet up the rising demands of higher food production with good quality. As a matter of fact, Farmers need to be aware of the changing climatic conditions in order for them to yield quality crops. IoT based Smart Agriculture would not only help farmers monitor their crops in real time but also would help in recommendations regarding crops and fertilizers. This paper focuses on proposing an IoT based Smart Agriculture system, which would help farmers, get recommendations based on various factors like humidity, temperature, and moisture.

Country : India

1 Vivek Parab2 Prasad Dusar3 Siddhesh Dalvi4 Prof. Neeta Bankhele

  1. Student, Electronics & Telecommunication Engineering, SGMSPM’s Sharadchandra Pawar College of Engineering, Pune, Maharashtra, India
  2. Student, Electronics & Telecommunication Engineering, SGMSPM’s Sharadchandra Pawar College of Engineering, Pune, Maharashtra, India
  3. Student, Electronics & Telecommunication Engineering, SGMSPM’s Sharadchandra Pawar College of Engineering, Pune, Maharashtra, India
  4. Assistant Professor, Electronics & Telecommunication Engineering, SGMSPM’s Sharadchandra Pawar College of Engineering, Pune, Maharashtra, India

IRJIET, Volume 7, Issue 3, March 2023 pp. 115-117

doi.org/10.47001/IRJIET/2023.703017

References

  1. Sinung Suakanto, Ventje J. L. Engel, Maclaurin Hutagalung, Dina Angela, “Sensor Networks Data Acquisition and Task Management for Decision Support of Smart Farming” in 2016 International Conference on Information Technology Systems and Innovation (ICITSI) Bandung – Bali, October 24 – 27, 2016.
  2. Chetan Dwarkani M, Ganesh Ram R, Jagannathan S, R. Priyatharshini “Smart Farming System Using Sensors for Agricultural Task Automation” in 2015 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development (TIAR 2015).
  3. Nikesh Gondchwar, Prof. Dr. R.S.Kawitkar, “IOT based Smart Agriculture”, International journal Of Advanced research in computer and Communication Engineering (IJARCCE), Vol. 5, Issue 6, June 2016.
  4. Narayut Putjaika, Sasimanee Phusae, Anupong Chen-Im, Dr. Phond Phunchongharn and Dr. Khajonpong Akkarajit Sakul, “ A Control System in Intelligent Farming by using Arduino technology”, 2016 Fifth ICT International Student Project Conference(ICT-ISPC).
  5. Tejas Bangera , Akshar Chauhan , Harsh Dedhia , Ritesh Godambe , Manoj Mishra, “IOT Based Smart Village”, International Journal of Engineering Trends and Technology (IJETT) – Volume 32 Number 6- February 2016 ISSN: 2231-5381.
  6. Jeetendra Shenoy, Prof Yogesh Pingle “IoT in Agriculture” 978-9-3805-4421-2/16/ 2016 IEEE.
  7. Rajalakshmi. P and Mrs. S. Devi Mahalakshmi, “IOT Based Crop-Field Monitoring and Irrigation Automation”.
  8. Abdullah Na, William Isaac, “Developing a Human-Centric Agricultural Model in the IoT Environment”, 2016 International Conference on Internet of Things and Applications (IOTA) Maharashtra Institute of Technology, Pune, India 22 Jan - 24 Jan, 2016, 978-1-5090-0044-9/16 ©2016 IEEE.