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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM11939

Comprehensive Review on Machine Learning Based Agriculture Automation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM11939

Volume:

6 |

3 |

Mar 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SAS

Sahil A Satpute

DDG

Dev D Gujar

YMT

Yash M Thorbole

PH

Prof.S.V. Halde

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Abstract

In India, Agriculture sector is one of the most important Growing sectors. Automation of farming suggests monitoring and controlling of various parameters which could be helpful in increasing productivity. This paper review Solar Powered ML & IOT Based Agriculture Automation. The main purpose of this project is to improve efficiency of agriculture sector. IoT helps us in many fields among which agriculture is one of the primary ones. With the help of IoT along with Machine Learning in the field of agriculture, we can increase the efficiency of crop production. The propose system consists of raspberry pi, various sensors, solar panel and a motor. Raspberry pi is the main controlling unit which can control whole system operation. System is equipped with solar panel which provide power to the system. The weather is one of the highest natural barriers in all parts of our lives in the world, we need to look at the weather including temperature, rain, humidity and etc. To improve productivity of agriculture we have to analyze data by using ML algorithm.

KEYWORDS

Solar panel Raspberry pi IOT ThingSpeak Smart Agriculture ML.

Cite This Article

Sahil A Satpute, Dev D Gujar, Yash M Thorbole, Prof.S.V. Halde, "Comprehensive Review on Machine Learning Based Agriculture Automation," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 3, Mar 2022.

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Publication Date

3/22/2022

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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