Coeficientes De Cultura Para a Melancieira Irrigada Por Gotejamento No Vale Do Gurgueia – Pi

Ferreira, José Orlando Piauilino; Pavani, Luiz Carlos; Bastos, E. A.

doi:10.15809/irriga.2013v18n3p509

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…In Figure 11B is shown the increase in soil moisture in the 0.20 to 0.40 m layer up to 43 DAS, with moisture around 0.14 cm³ cm -3 , remaining at about 0.11 cm 3 cm -³ until 56 DAS. FERREIRA et al (2013) found similar behaviour in an experiment where there was less moisture in the soil around 40 to 50 DAS, and observed that for that period evapotranspiration in the watermelon exceeds the reference evapotranspiration, thereby noting an increase in water consumption by the plant. This period coincides with a time of more intense fruit growth, and determines its final size.…”

Section: Engsupporting

confidence: 52%

Application of artificial neural networks as an alternative to volumetric water balance in drip irrigation management in watermelon crop

et al. 2015

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Precision irrigation seeks to establish strategies which achieve an efficient ratio between the volume of water used (reduction in input) and the productivity obtained (increase in production). There are several studies in the literature on strategies for achieving this efficiency, such as those dealing with the method of volumetric water balance (VWB). However, it is also of great practical and economic interest to set up versatile implementations of irrigation strategies that: (i) maintain the performance obtained with other implementations, (ii) rely on few computational resources, (iii) adapt well to field conditions, and (iv) allow easy modification of the irrigation strategy. In this study, such characteristics are achieved when using an Artificial Neural Network (ANN) to determine the period of irrigation for a watermelon crop in the Irrigation Perimeter of the Lower Acaraú, in the state of Ceará, Brazil. The Volumetric Water Balance was taken as the standard for comparing the management carried out with the proposed implementation of ANN. The statistical analysis demonstrates the effectiveness of the proposed management, which is able to replace VWB as a strategy in automation. KEYWORDS: precision irrigation, automation, neural algorithms. APLICAÇÃO DE REDES NEURAIS ARTIFICIAIS COMO ALTERNATIVA AO BALANÇO HÍDRICO VOLUMÉTRICO NO MANEJO DE IRRIGAÇÃO POR GOTEJAMENTO EM MELANCIARESUMO: A irrigação de precisão busca estabelecer estratégias que alcancem uma relação eficiente entre o volume de água utilizado (redução do insumo) e a produtividade obtida (aumento da produção). Há diversos trabalhos na literatura que tratam de estratégias para alcançar esta eficiência, como os que tratam do método do Balanço Hídrico Volumétrico (BHV). Entretanto, também é de grande interesse prático/econômico estabelecer implementações versáteis destas estratégias de irrigação que: (i) mantenham o desempenho obtido em outras implementações; (ii) dependam de poucos recursos computacionais; (iii) apresentem grande adaptabilidade às condições de campo, e (iv) permitam facilmente modificar a estratégia de irrigação. Neste trabalho, tais características são alcançadas ao se utilizar uma Rede Neural Artificial (RNA) para determinar o tempo de irrigação da cultura da melancia em uma localidade no Perímetro Irrigado do Baixo Acaraú (CE). Tomou-se o Balanço Hídrico Volumétrico como padrão de comparação do manejo efetuado pela implementação proposta com RNA. Os estudos estatísticos realizados comprovam a eficiência do manejo proposto. Podendo este manejo substituir o BHV como uma estratégia para a automação.PALAVRAS-CHAVE: irrigação de precisão, automação, algoritmos neurais.Application of artificial neural networks as an alternative to volumetric water balanceEng.

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Section: Engsupporting

confidence: 52%

Application of artificial neural networks as an alternative to volumetric water balance in drip irrigation management in watermelon crop

et al. 2015

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“…Morais et al (2008) evaluated the response of watermelon at different water and nitrogen levels and found that a water depth of 205 mm and nitrogen concentration of 249 kg ha -1 promoted the highest WUE, corresponding to 24.21 and 22.10 kg m -3 , respectively. These results demonstrate that the efficient use of water and nitrogen promote less waste, improve the rational use of production factors, and increase the profits of irrigated crops (ANDRADE JÚNIOR et al, 2006;FERREIRA;PAVANI;BASTOS, 2013). Monteiro et al (2008) studied melon plants, another Cucurbitaceae, and observed that WUE decreased as the water depth increased, and WUE was highest using 232.7 mm of water.…”

Section: Introductionmentioning

confidence: 86%

Watermelon Yield and Efficiency of Use of Water and Nitrogen

et al. 2019

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The evaluation of the yield of crops and their efficiency of use of water and nitrogen is essential to optimize the management of production factors. The objective of this study is to evaluate the effect of irrigation regimes and nitrogen doses in fertigation on fruit yield and efficiency of use of water and nitrogen by the Top Gun watermelon hybrid. The study was conducted in Bom Jesus, Piauí, Brazil, from August 4 to October 15, 2015. The study used a completed randomized block design with four repetitions, five irrigation depths (110.17, 156.86, 221.16, 268.87, and 317.09 mm), and five doses of nitrogen in fertigation (0, 50, 100, 150, and 200 kg ha-1 applied as urea). Fruit yield and water use efficiency were not affected by nitrogen doses; however, there was a significant interaction of the factors for the efficiency of nitrogen use. The highest yield (39,549.45 kg ha-1) was obtained using 233.48 mm of water during the growth cycle. The water depth that promoted the maximum efficiency of water use was 110.42 mm, and nitrogen use was most efficient using 232.21 mm of water and 50 kg ha-1 of nitrogen.

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“…O conhecimento do coeficiente de cultura (Kc) é fundamental para se outorgar, dimensionar e manejar a irrigação de uma cultura e, uma vez que esses valores variam conforme a disponibilidade energética do local, variedade e idade da planta, é importante à obtenção de valores regionalizados (Silva et al, 2006). Já existem recomendações de Kc para a melancia no Piauí (Bastos et al, 2007;Ferreira, 2010), no Ceará (Carvalho et al, 2007;Miranda et al, 2004;Bezerra & Oliveira, 1999)…”

Section: Introductionunclassified

Evapotranspiração e coeficiente de cultura da melancia na microrregião de Teresina, PI, Brasil

Ferreira

Klar²,

Júnior³

et al. 2015

Com. Sci.

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The determination of crop coefficient (Kc) values during the crop development cycle is essential to obtain the water requirements for the culture. The present study aimed to determine the evapotraspiration and Kc on Shadow, Top Gun and Crimson Sweet watermelon cultivars, during different stages of development using the method of soil water balance. The experiment was conducted at Embrapa Meio Norte in Teresina, PI, experimental field, from August to October, 2010. The evapotranspiration reference was estimated by Penman-Monteith, based on meteorological data obtained by an automatic weather station. According to the results, the ETc was 224.4 mm, corresponding to an average of 3.8 mm day-1. The higher water demand was 5.5 mm day-1, obtained at the intermediate phenological stage. The Kc values were 0.39, 0.80, 1.14, 0.59 (Crimson Sweet), 0.35, 0.72, 1.20, 0.30 (Top gun) and 0.34, 0.58, 0.89, 0.55 (Shadow), for initial, growth, intermediate and final phases, respectively.

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Coeficientes De Cultura Para a Melancieira Irrigada Por Gotejamento No Vale Do Gurgueia – Pi

Cited by 5 publications

References 6 publications

Application of artificial neural networks as an alternative to volumetric water balance in drip irrigation management in watermelon crop

Application of artificial neural networks as an alternative to volumetric water balance in drip irrigation management in watermelon crop

Watermelon Yield and Efficiency of Use of Water and Nitrogen

Evapotranspiração e coeficiente de cultura da melancia na microrregião de Teresina, PI, Brasil

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