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Title: :  Artificial Intelligence based Rasberry pi using Plant Recognition Electric Weeder
PaperId: :  16767
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-16767
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
DR.R. Senthil KumarSns college of technology
A.K Yogesh Sns college of technology
S. Naveen KumarSns college of technology
G. ManikandanSns college of technology
D. MythiliSns college of technology

Abstract

Electrical and Electronics Engineering
Plant Recognition, Image Processing, Rasberry pi, Artificial Intelligence, Internet of things.
Despite the belief humans might also additionally have concerning the rural technique, the fact is that these days’s agriculture enterprise is facts-centered, unique, and smarter than ever. This paper is greater appropriate for agriculture then on this challenge we used Raspberry Pi, Webcam, Motor Driver and DC Motor. Ultrasonic Sensor is used for degree the gap of gadgets. The robotic primarily based totally technology redesigned nearly each enterprise which include ‘‘clever agriculture with AI’’ which moved the enterprise from statistical to quantitative approaches. Such progressive modifications are shaking the present agriculture strategies and growing new possibilities alongside a number of demanding situations. This article highlights the cappotential of wi-fi sensors and Robo Setup in agriculture, in addition to the demanding situations predicted to be confronted while integrating this generation with the conventional farming practices. Robo Setup gadgets and communique strategies related to wi-fi sensors encountered in agriculture programs are analyzed in detail. What sensors are to be had for precise agriculture application, like soil preparation, crop status, irrigation, insect and pest detection are indexed. How this generation supporting the growers at some stage in the crop levels, from sowing till harvesting, packing and transportation is defined. Furthermore, the usage of unmanned aerial automobiles for crop surveillance and different favorable programs together with optimizing crop yield is taken into consideration on this article. State-of-the-artwork Robo Setup-primarily based totally architectures and structures utilized in agriculture also are highlighted anyplace appropriate. Finally, primarily based totally in this thorough review, we become aware of modern and destiny developments of Robo Setup in agriculture and spotlight cappotential studies demanding situations.

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IJARIIE DR.R. Senthil Kumar, A.K Yogesh , S. Naveen Kumar, G. Manikandan, and D. Mythili. "Artificial Intelligence based Rasberry pi using Plant Recognition Electric Weeder" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 1376-1382
MLA DR.R. Senthil Kumar, A.K Yogesh , S. Naveen Kumar, G. Manikandan, and D. Mythili. "Artificial Intelligence based Rasberry pi using Plant Recognition Electric Weeder." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 1376-1382.
APA DR.R. Senthil Kumar, A.K Yogesh , S. Naveen Kumar, G. Manikandan, & D. Mythili. (2022). Artificial Intelligence based Rasberry pi using Plant Recognition Electric Weeder. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 1376-1382.
Chicago DR.R. Senthil Kumar, A.K Yogesh , S. Naveen Kumar, G. Manikandan, and D. Mythili. "Artificial Intelligence based Rasberry pi using Plant Recognition Electric Weeder." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 1376-1382.
Oxford DR.R. Senthil Kumar, A.K Yogesh , S. Naveen Kumar, G. Manikandan, and D. Mythili. 'Artificial Intelligence based Rasberry pi using Plant Recognition Electric Weeder', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 1376-1382. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Artificial_Intelligence_based_Rasberry_pi_using_Plant_Recognition_Electric_Weeder_ijariie16767.pdf (Accessed : ).
Harvard DR.R. Senthil Kumar, A.K Yogesh , S. Naveen Kumar, G. Manikandan, and D. Mythili. (2022) 'Artificial Intelligence based Rasberry pi using Plant Recognition Electric Weeder', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 1376-1382IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Artificial_Intelligence_based_Rasberry_pi_using_Plant_Recognition_Electric_Weeder_ijariie16767.pdf (Accessed : )
IEEE DR.R. Senthil Kumar, A.K Yogesh , S. Naveen Kumar, G. Manikandan, and D. Mythili, "Artificial Intelligence based Rasberry pi using Plant Recognition Electric Weeder," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 1376-1382, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Artificial_Intelligence_based_Rasberry_pi_using_Plant_Recognition_Electric_Weeder_ijariie16767.pdf [Accessed : ].
Turabian DR.R. Senthil Kumar, A.K Yogesh , S. Naveen Kumar, G. Manikandan, and D. Mythili. "Artificial Intelligence based Rasberry pi using Plant Recognition Electric Weeder." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver DR.R. Senthil Kumar, A.K Yogesh , S. Naveen Kumar, G. Manikandan, and D. Mythili. Artificial Intelligence based Rasberry pi using Plant Recognition Electric Weeder. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 1376-1382. Available from: https://ijariie.com/AdminUploadPdf/Artificial_Intelligence_based_Rasberry_pi_using_Plant_Recognition_Electric_Weeder_ijariie16767.pdf
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