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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | SMART AGRICULTURE SYSTEM USING IOT AND MACHINE LEARNING |
| Authors Name: | G Mahesh , Thoutu Varshith , Tirumala Gautam , Vadla pramod |
| Download E-Certificate: | Download |
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IJNRD_190323
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| Published Paper Id: | IJNRD2304127 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | The farming of agriculture has started past 12000 years back, Neolithic age gave birth to civilization, Farming than later begin continued as traditional farming practices. India begins an agrarian’s country is dependent on rains, soil dampness and environmental challenges. Our farmers upgrading to modern state of agriculture technology in cultivation. Globally the IoT systems has contributed its application in many fields and proven to be successful. It is the time that all Indian farmers need to be introduced to Smart Agriculture systems for higher crop yield. The productivity with compilation of data from sensors, actuators and modern electronic gadgets the farmers can monitor agriculture fields, with the use of ESP-32 camera module. Smart Agriculture can switch ON/OFF the pump motor acknowledging the moisture levels, buzz the buzzer and notify the farmer in the case of any pest near the crop, with the help of sensors which are interfaced to process module Arduino-Uno. It can also predict which crop is suitable to grow in a particular area by considering the different soil compositions of that particular area. In our proof of the concept of such a prediction model we have used K-NN algorithm. The Smart Agriculture system can be operated from anywhere with the help of network technology. A Microcontroller has been used as for ensuring low-cost and small size of the system. |
| Keywords: | Microcontroller, ESP8266, ESP32 CAM, Crop Recommendation, Relay, Motor, IR sensor |
| Cite Article: | "SMART AGRICULTURE SYSTEM USING IOT AND MACHINE LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.b232-b236, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304127.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2304127 Registration ID: 190323 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: b232-b236 Country: Hyderabad, Andhra Pradesh, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304127 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304127 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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