Home|Journals|Articles by Year|Audio Abstracts
 

Research Article

EEO. 2021; 20(1): 5178-5187


Implementation Of Smart Farming Using Data Analysis Based On Iot And Machine Learning

V.SASIKALA,KOUSLAY.R,ANJHANA.D,DIFYA JANCY S.




Abstract

Agriculture plays a vital role in the development of our country. In India about 70% of population depends on farming and one third of the nation‘s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is agriculture by modernizing the current traditional methods of farming. Hence this project aims at monitoring the temperature and moisture sensor using the necessary sensors. Measurement of these factors using these sensors in agriculture can be referred to as smart agriculture. Therefore this modern agriculture can positively impact the planet in immeasurable ways. It improves the yield of crops of all kinds, decreasing the dependence on pesticides, reducing operational costs, optimizing water usage, and ensuring better land management and crop rotation. To ensure better farming method and to get maximum yield with less resources using Communication technology we can monitor live field condition to take corrective action. Hence as advancement in this field, the project presents about the image processing techniques and various sensors for the development and yield of crops

Key words: Implementation, Farming, Data, Analysis , Machine, Learning






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.