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A Novel Approach for Farming using IoT

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Bhushan Jadhav, Rishabh Kriplani, Rahul Badugu, Ritesh Keswani

Bhushan Jadhav, Rishabh Kriplani, Rahul Badugu and Ritesh Keswani. A Novel Approach for Farming using IoT. International Journal of Computer Applications 174(32):19-25, April 2021. BibTeX

	author = {Bhushan Jadhav and Rishabh Kriplani and Rahul Badugu and Ritesh Keswani},
	title = {A Novel Approach for Farming using IoT},
	journal = {International Journal of Computer Applications},
	issue_date = {April 2021},
	volume = {174},
	number = {32},
	month = {Apr},
	year = {2021},
	issn = {0975-8887},
	pages = {19-25},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2021921264},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Farming is India's most critical and basic profession, combining all food needs with importance to humanity and the supply of essential raw materials for many businesses. But in this digitized world, there are less opportunities available with the farming when it considers manual work. The emerging technologies like IoT, Cloud Computing and Big data analytics has made a significant improvement in the current IT applications. However, there is a huge scope of introducing these technologies into current farming practices. These technologies are highly compatible to be leverage in current farming process. The automation in farming with these technologies can reduce both manpower and cost. The growth of revolutionary farming techniques using emerging technologies is gradually improving crop production, making it more productive and reducing irrigation waste. So, in this research paper, a modern farming system is introduced with proposed solutions that can overcome the existing challenges and limitations along with assistance in proper water management, crop management and provide ideal crop and fertiliser recommendations based on historic soil condition results.


  1. Fahad Kamraan Syed, Agniswar Paul, Ajay Kumar, Jaideep Cherukuri. "Low-cost IoT+ML design for smart farming with multiple applications", 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2019
  2. S. Geetha, P. Deepalakshmi, Shilpa Pande."Managing Crop for Indian Farming Using IOT", 2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES), 2019
  3. Kasara Sai Pratyush Reddy, Y Mohana Roopa, Kovvada Rajeev L N, Narra Sai Nandan. "IoT based Smart Agriculture using Machine Learning", 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), 2020
  4. Rao R., and Sridhar B. (2018). IoT based smart crop-field monitoring and automation irrigation system. 2Nd International Conference on Inventive Systems and Control (ICISC). doi: 10.1109/icisc.2018.8399118.
  5. Mishra D., Khan A., Tiwari R., and Upadhay S. (2018). "Automated Irrigation System-IoT Based Approach". 3rd International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)
  6. Aashu Bedrae R. K1, Jayalakshmi A2, Nayana M3, Swetha D4, Shridhara Y5. ”Development of Smart Irrigation System”, June 2018 International Research Journal of Engineering and Technology (IRJET).
  7. “Future of Agriculture”, https://www.iotsworld congress. com/
  9. Hira Farooq, Hafeez UR Rehman et al.,,” A Review on Smart IoT Based Farming”, Annals of Emerging Technologies in Computing (AETiC) Vol. 4, No. 3, 2020.
  10. M.S.D. Abhiram, Jyothsnavi Kuppili, N.Alivelu Manga. "Smart Farming System using IoT for Efficient Crop Growth", 2020 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), 2020.


IoT, Soil moisture sensor, Node MCU, DHT-11, Machine learning.