Smart Farming: A Techno Agriculture Advancement Powered by Machine Learning
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2018 by IJETT Journal | ||
| Volume-64 Number-1 |
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| Year of Publication : 2018 | ||
| Authors : Sandeep Ravikanti, Dheeraj Ganesh |
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| DOI : 10.14445/22315381/IJETT-V64P209 |
Citation
MLA Style: Sandeep Ravikanti, Dheeraj Ganesh "Smart Farming: A Techno Agriculture Advancement Powered by Machine Learning Element Method" International Journal of Engineering Trends and Technology 64.1 (2018): 48-52.
APA Style:Sandeep Ravikanti, Dheeraj Ganesh (2018). Smart Farming: A Techno Agriculture Advancement Powered by Machine Learning. International Journal of Engineering Trends and Technology, 64(1), 48-52.
Abstract
India is a country which has an arable land of 159.7 million hectares (394.6 million acres) which is the second largest country in the world but in terms of modernization and digitalization which hitherto has not developed in our nation, whereas world is in another level. India is the country still lacking in the adoption new technologies in farming and unable to make profits from them. So in this paper we are going to address few key issues with the help of machine learning we can use for getting profits in agriculture and we can do smart farming based on prediction and analysis of previous agriculture data available. In this paper we are focusing on Analyzing crop diversification and crop trends based on datasets of previous years, Requirement gathering from different people and providing them to agricultural officer. Analyzing the weather conditions and environmental changes with the help of artificial intelligence and machine learning and submitting the details to agricultural authority.
Reference
1. https://www.foreca.com/India/State_of_Andhra_Pradesh/Hyderabad
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Keywords
Arable Land , Machine Learning, ,GDP, Datasets, Patterns , Classification Algorithms,Stocks-analysis,iphone weather graphs, Artificial Intelligence.