Sistemas computacionais baseados em regras fuzzy para previsão de componentes de produção de culturas irrigadas
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Data
2020-02-17
Autores
Bordin, Deyver [UNESP]
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Editor
Universidade Estadual Paulista (Unesp)
Resumo
Para uma satisfatória produtividade, a cultura do rabanete (Raphanus sativus L.) exige principalmente boa qualidade do solo e grande disponibilidade de água. A irrigação é uma técnica artificial utilizada para disponibilizar água as plantas. Seu uso deve ser criterioso e para que se obtenha menores custos de produção, deve-se evitar o uso desnecessário de água, e consequentemente, energia elétrica. Formas de utilização da água são cada vez mais estudadas, entre elas, a água de irrigação tratada magneticamente, que tem mostrado aprimoramentos produtivos em diversas culturas. O objetivo deste trabalho foi o desenvolvimento de um conjunto de sistemas computacionais baseados em regras fuzzy para previsão de componentes de produção de culturas irrigadas. Para tanto, foram utilizados dados de um experimento conduzido com água de irrigação convencional ou tratada magneticamente, sendo avaliado variáveis biométricas, tais como: peso verde do bulbo, número de folhas, comprimento da raiz, diâmetro do bulbo, comprimento do bulbo, peso verde da raiz, peso verde da folha, peso seco da raiz, peso seco da folha e peso seco do bulbo. Como resultado, foi apresentado um conjunto de softwares com uma interface de simples uso e fácil compreensão, que poderá auxiliar os produtores na estimativa dos resultados das variáveis biométricas do rabaneteiro e de outras culturas irrigadas.
For satisfactory productivity, the cultivation of radish (Raphanus sativus L.) mainly requires good soil quality and great availability of water. Irrigation is an artificial technique used to make water available to plants. Its use must be judicious and to obtain lower production costs, unnecessary use of water and, consequently, electric energy should be avoided. Ways of using water are increasingly studied, among them, magnetically treated irrigation water, which has shown productive improvements in several cultures. The objective of this work was the development of a set of computational systems based on fuzzy rules for forecasting production components of irrigated crops. For that, data from an experiment conducted with conventional irrigation water or magnetically treated water were used, and biometric variables were evaluated, such as green bulb weight, number of leaves, root length, bulb diameter, bulb length, green weight root weight, green leaf weight, dry root weight, dry leaf weight, and dry bulb weight. As a result, a set of software was presented with a simple to use and easy to understand interface, which can assist producers in estimating the results of the biometric variables of the radish feet and other irrigated crops.
For satisfactory productivity, the cultivation of radish (Raphanus sativus L.) mainly requires good soil quality and great availability of water. Irrigation is an artificial technique used to make water available to plants. Its use must be judicious and to obtain lower production costs, unnecessary use of water and, consequently, electric energy should be avoided. Ways of using water are increasingly studied, among them, magnetically treated irrigation water, which has shown productive improvements in several cultures. The objective of this work was the development of a set of computational systems based on fuzzy rules for forecasting production components of irrigated crops. For that, data from an experiment conducted with conventional irrigation water or magnetically treated water were used, and biometric variables were evaluated, such as green bulb weight, number of leaves, root length, bulb diameter, bulb length, green weight root weight, green leaf weight, dry root weight, dry leaf weight, and dry bulb weight. As a result, a set of software was presented with a simple to use and easy to understand interface, which can assist producers in estimating the results of the biometric variables of the radish feet and other irrigated crops.
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Software, Modelagem matemática, Hortaliça, Mathematical modeling, Greenery