Smart Agriculture System using Machine Learning |
Author(s): |
| Dhananjay Vijay Gore , SVIT,Nashik; Uttam R. Patole, SVIT,Nashik; Shraddha Sharad Ghuge, SVIT,Nashik; Vaishnavi Ganesh Gaikwad, SVIT,Nashik; Rutuja kashinath Jangale, SVIT,Nashik |
Keywords: |
| IOT, IPFS, EOS, Remote users |
Abstract |
|
Smart farming permits to examine the development of plants and to impact the boundaries of our framework progressively to enhance plant development and backing the rancher in his action. Internet of Things plans, in light of the application specific sensors information estimations and wise handling, are spanning the openings between the digital and actual universes. In this paper, we propose the plan and the examination of a savvy cultivating framework in view of an insightful stage which empowers forecast capacities utilizing man-made reasoning (AI) methods. This framework depends on the innovation of remote sensor organizations and its execution requires three fundamental stages, I) information assortment stage utilizing sensors conveyed in a rural field, ii) information cleaning and capacity stage, and iii) prescient handling utilizing some AI techniques. |
Other Details |
|
Paper ID: IJSRDV9I120073 Published in: Volume : 9, Issue : 12 Publication Date: 01/03/2022 Page(s): 167-169 |
Article Preview |
|
|
|
|
