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Assessing the precision irrigation potential for increasing crop yield and water savings through simulation
Precision Agriculture ( IF 6.2 ) Pub Date : 2022-09-22 , DOI: 10.1007/s11119-022-09958-4
Silas Alves Souza , Lineu Neiva Rodrigues , Fernando França da Cunha

In regions such as the Brazilian Cerrado where water availability is low and disputes for water resources are increasing, it is important to evaluate technologies that can increase the efficiency of irrigation. In this scenario, precision irrigation has great potential. However, studies that evaluate the real benefits of precision irrigation are necessary. The present work aimed to assess the precision irrigation potential for increasing crop yield and water savings. To evaluate the possible precision irrigation benefits, two center pivots, acting over soils that had different hydro-physical characteristics, were studied. The available water in the soil (AWC) was used as a reference for irrigation management in two conditions, one considering and one disregarding soil spatial variability. In the management under homogeneous soil conditions, the lowest, the average and the highest AWC values were considered. Management under variable conditions was carried out individually for each pixel with a dimension of 25 m2 (5 × 5 m), considering its real AWC value. Also, four soybean crop sowing dates were considered in a rainy and a dry year. A specific precision irrigation module was developed in Python language to carry out the simulations. The results obtained indicated an average water savings potential of 4.5% in a rainy year and 4.3% in a dry year. The average increased yield potential was 6.4% in the rainy year and 4.0% in the dry year.



中文翻译:

通过模拟评估提高作物产量和节水的精确灌溉潜力

在巴西塞拉多(Cerrado)等水资源匮乏且水资源争议不断增加的地区,评估能够提高灌溉效率的技术非常重要。在这种情况下,精准灌溉具有巨大的潜力。然而,评估精确灌溉的真正好处的研究是必要的。目前的工作旨在评估精确灌溉在提高作物产量和节水方面的潜力。为了评估可能的精确灌溉效益,研究了两个作用于具有不同水物理特性的土壤的中心支点。在两种情况下,土壤中的有效水(AWC)被用作灌溉管理的参考,一种考虑土壤空间变异性,另一种不考虑土壤空间变异性。在均质土壤条件下的管理中,考虑了最低、平均和最高 AWC 值。对尺寸为 25 m 的每个像素单独进行可变条件下的管理2 (5 × 5 m),考虑到它的真实AWC值。此外,在雨年和旱年考虑了四个大豆作物播种日期。用 Python 语言开发了一个特定的精密灌溉模块来进行模拟。结果表明,雨年平均节水潜力为 4.5%,旱年平均节水潜力为 4.3%。雨年的平均增产潜力为 6.4%,旱年为 4.0%。

更新日期:2022-09-22
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