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A Novel Approach for Farming using IoT

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Authors:
Bhushan Jadhav, Rishabh Kriplani, Rahul Badugu, Ritesh Keswani
10.5120/ijca2021921264

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

@article{10.5120/ijca2021921264,
	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 = {http://www.ijcaonline.org/archives/volume174/number32/31884-2021921264},
	doi = {10.5120/ijca2021921264},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

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.

References

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Keywords

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