设计一个三轴动力机给准确有效的植物浇水

Ni’am Tamami, Hendhi Hermawan, Nofria Hanafi, Madyono Madyono
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引用次数: 0

摘要

为了延长肥沃的农田,需要通过污水处理来保持地下的水分。手动变速器活动需要大量的能量。此外,手动变速器提供的水量无法准确测量。在这个等式中,我们建议使用三轴笛卡尔机器人自动上传到地面,高度为3米x1.5米,有171个地标。控制基于模糊的传输,使供水准确。种植前,土地上的平均土壤湿度为45.28%,最小值为40%,最大值为50%。每个点的目标土壤湿度为60%。机器人可以在没有人为干预的情况下传输整个站点。平均含水率为62.10%,最小值为60%,最大值为65%。[UNK]为了支持肥沃的农业用地,需要浇水以保持土壤中的含水量。人工浇水需要大量的能量。此外,人工浇水的含水量也无法准确测量。在本文中,我们提出了使用三轴笛卡尔机器人为3米x 1.5米的土地自动浇水,该土地有171个种植点。基于模糊的浇水控制,使给出的含水量准确无误。浇水前,土地的平均土壤湿度为45.28%,最小值为40%,最大值为50%。每个点的目标土壤湿度为60%。该机器人可以在没有人为干预的情况下为整个种植点浇水。浇水的平均含水量值为62.10%,最小值为60%,最大值为65%。此外,与模糊方法和开关方法的应用误差相比,模糊方法能够产生更准确的浇水,平均误差率为2.10%,而开关方法对土壤水分目标的平均误差为5.32%。模糊方法的浇水时间效率也更高,为7秒至8秒,而开关方法需要10秒至15秒的浇水时间
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rancang bangun robot kartesian tiga axis untuk penyiraman tanaman yang akurat dan efisien
Untuk menunjang lahan pertanian yang subur, diperlukan proses penyiraman agar kadar air dalam tanah tetap terjaga. Kegiatan penyiraman yang dilakukan secara manual membutuhkan banyak energi. Selain itu kadar air yang diberikan dengan penyiraman manual tidak dapat terukur secara akurat. Dalam makalah ini, kami mengusulkan penyiraman otomatis dengan robot kartesian tiga aksis untuk lahan dengan ukuran 3 meter x 1.5 meter dengan 171 titik tanam. Kontrol penyiraman berbasis fuzzy agar kadar air yang diberikan bisa akurat. Sebelum penyiraman, rata-rata kelembapan tanah pada lahan tersebut adalah 45.28% dengan nilai minimal 40%, nilai maksimal 50%. Target kelembapan tanah untuk setiap titik adalah 60%. Robot dapat menyiram seluruh titik tanam tanpa campur tangan manusia. Nilai kadar air rata-rata penyiraman adalah 62.10%, dengan nilai minimal 60%, nilai maksimal 65%.   To support fertile agricultural land, a watering process is needed so that the water content in the soil is maintained. Watering activities carried out manually require a lot of energy. In addition, the water content given by manual watering cannot be measured accurately. In this paper, we propose automatic watering with a three-axis Cartesian robot for land with a size of 3 meters x 1.5 meters with 171 planting points. Fuzzy based watering control so that the water content given can be accurate. Before watering, the average soil moisture on the land was 45.28% with a minimum value of 40%, a maximum value of 50%. The target soil moisture for each point is 60%. The robot can water the entire planting point without human intervention. The average water content value of watering is 62.10%, with a minimum value of 60%, a maximum value of 65%. In addition, also compared with the application error with the fuzzy method with the on-off method, the fuzzy method is able to produce more accurate watering with an average error rate of 2.10%, while the on-off method has an average error of 5.32% against the soil moisture target. The fuzzy method is also more time efficient in watering, which is 7 seconds to 8 seconds, while the on-off method requires a watering time of 10 seconds to 15 seconds
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