Impact of Machine Learning and Internet of Things in Agriculture: State of the Art
| Autor: | S. R. Juhi Reshma, Anitha S. Pillai |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
education.field_of_study
010504 meteorology & atmospheric sciences business.industry media_common.quotation_subject Control (management) Population 04 agricultural and veterinary sciences Machine learning computer.software_genre 01 natural sciences ComputingMilieux_GENERAL State (polity) Agriculture 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Business Artificial intelligence Internet of Things education computer Productivity 0105 earth and related environmental sciences media_common |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319606170 SoCPaR |
| Popis: | Majority of the population are directly or indirectly dependent on agriculture. In this modern world, agriculture has to be supported with technology to bring the best output. There is a big revolution in agriculture from traditional methods. Recent development in technology has a great impact on agriculture. Evolution of Machine Learning (ML) and Internet of Things (IoT) has helped researchers to apply these techniques in agriculture to help farmers. This in turn helped farmers to increase the productivity, make use of maximum land available, control pest, and so on. This paper highlights the work done in agriculture sector using ML and IoT. |
| Databáze: | OpenAIRE |
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