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Registros recuperados: 26 | |
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Dhumale, Rakesh Dhumale. |
Water is basic source of the farming with limited storage. Out of available land 64% is engaged by the farming and needs nearly 85 % of clean water of total water storage. Proper irrigation helps to improve quality of soil and the growth of crops. The farmer depending upon condition of soil and available water resource has to apply intelligence to get realistic decisions to reduce the wastage of water and ensure full utilization of the water. This gives challenging opportunity to pertain theory and idea of Artificial Intelligence (AI) in the process of water irrigation. In this paper, an intelligent approach for the water irrigation of crop is proposed. Smart Fuzzy Water Irrigation System (FWIS) using Internet of Things (IoT) includes two types of nodes... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Irrigation system; Fuzzy logic; Internet of Things; Soil parameters.. |
Ano: 2023 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5398 |
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Szesz Junior,Albino; Monteiro Junior,Marcos; Dias,Ariangelo Hauer; Mathias,Ivo Mário; Conti,Giuvane. |
ABSTRACT: Aeration is currently the most commonly used technique to improve the drying and storage of grain, depending on temperature and water content of the grain, as of the temperature and relative humidity of the outside air. In order to monitor temperature and humidity of the grain mass, it is possible to have a network of sensors in the cells of both internal and external storage. Use of artificial intelligence through Fuzzy theory, has been used since the 60s and enables their application on various forms. Thus, it is observed that the aeration of grain in function of representing a system of controlled environment can be studied in relation to the application of this theory. Therefore, the aim of this paper is to present an embedded Fuzzy control... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Arduino; Agriculture; Mathematical model; Fuzzy logic; Grain aeration. |
Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016001101917 |
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Registros recuperados: 26 | |
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