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| Michelon, Gabriela Karoline; de Menezes, Paulo Lopes; Júnior, Arnaldo Cândido; Bazzi, Claudio Leones; Barbosa, Marcela Marques. |
| Soybean is one of the major oleaginous, used for food and feed to processed products and also as an alternative source of biofuel. Due to its great uses that is highly valued and cultivated in the world. Therefore, this study sought to apply an artificial intelligence technique to predict soybean yield and therefore maximize production from farmlands, increase the profit of the producer and reduce environmental impacts. There were then used the support vector machine technique, to find a prediction model of soybean yield from the leaf nutrients, allowing therefore that fertilization is carried out only in necessary locations predicted as low productivity points for best support vector machine model obtained. Among all created models, the best prediction of... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agricultura de Precisão Inteligência Artificial; Nutrientes Foliares; Regressão. |
| Ano: 2017 |
URL: http://www.seer.ufv.br/seer/index.php/reveng/article/view/745 |
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