Biohole Effectiveness Analysis through the Distribution Pattern of Microbes at Each Depth in Real Time on humus Soil Integrated Smartfarming

Nugroho Widiasmadi
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Abstract

This research was conducted on inseptisol soils, especially for plantations, with the aim of not only restoring the health and fertility of the soil due to the use of chemical fertilizers and pesticides as well as seeing the pattern of EC distribution at each depth from the center of the biohole based on the time of observation. Through controlled microbial activity, its spread through two types of biohole, namely horizontal and vertical biohole. This research observes in real time through soil parameter sensors connected to the micro controller to changes in soil acidity, infiltration rate, conductivity electrolyte level and porosity level through soil infiltration rate. Through simulations with 2 types of biohole, it can be seen the increase in EC in each depth to the time of observation in real time. From the observations of graphs and EC standards, it can be seen that the ability of the soil to provide nutrients in the root growth zone to support the schedule and distribution patterns of planting both during vegetative growth and generative growth periods. So that we will know the proper biohole distance and spacing in order to be able to provide vegetative and generative mass nutrition based on nutrient values monitored through sensors that change the analogue parameters in the micro possessor into digital information transmitted by Wi-Fi in real time. Inseptisol soils fertility simulation based on the number of microbial populations=108/cfu with variable 1: The effective depth for providing root nutrition to a depth of 30 cm with a soil fertility value or Electrolyte Conductivity/ EC 1000 uS/cm to 1900 uS/cm is reached on the 10 to 60th day. Variable 2: The effective depth for providing root nutrition is up to a depth of 24 cm with a soil fertility value or Electrolyte Conductivity/EC 1000 uS/cm to 2350 uS/cm achieved on the 10th to 60th day.
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基于腐殖质土壤各深度微生物分布模式的实时生物孔有效性分析
本研究以无菌性土壤为研究对象,特别是人工林土壤,旨在恢复因施用化肥和农药而导致的土壤健康和肥力,并根据观测时间从生物孔中心观察各深度EC的分布规律。通过控制微生物活动,其通过水平和垂直两种类型的生物孔传播。本研究通过与微控制器连接的土壤参数传感器,通过土壤入渗速率实时观察土壤酸度、入渗速率、电导率、电解质水平和孔隙度水平的变化。通过对2种生物孔的模拟,可以实时地看到每个深度的EC对观测时间的增加。从图和EC标准的观察可以看出,在营养生长期和生殖生长期,土壤在根生长期提供养分的能力支持种植的时间表和分布模式。这样我们就可以知道适当的生物孔距离和间距,以便能够根据传感器监测的营养值提供植物性和生殖性的大量营养,这些营养值通过Wi-Fi实时传输将微型容器中的模拟参数转换为数字信息。基于微生物种群数=108/cfu(变量1)的Inseptisol土壤肥力模拟:在土壤肥力值或电解质电导率/ EC为1000 uS/cm ~ 1900 uS/cm的情况下,在第10 ~ 60天达到30 cm深度提供根系营养的有效深度。变量2:提供根系营养的有效深度可达24cm,土壤肥力值或电解质电导率/EC在第10天至第60天达到1000 uS/cm至2350 uS/cm。
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