利用无线传感器拉探地下农田中不平整的水位障碍

IF 0.2 Q4 MULTIDISCIPLINARY SCIENCES Suranaree Journal of Science and Technology Pub Date : 2023-10-09 DOI:10.55766/sujst-2023-04-e0855
Muhammad Zuhair Zuhair, Shahzad Ashraf, Mahnoor Iqbal, Syed Zain Raza Rizvi, Alief Khokhar, Muhammad Asgher Nadeem Nadeem
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引用次数: 0

摘要

农业面临的主要问题是种子在最佳肥力下的生长。当没有水到达土壤种子下或有一些障碍阻止它时,就会发生这种不正常的肥力。这一问题使农业增长恶化,从而使土地贫瘠。一种基于无线传感器的通信模型已经被开发出来,用于注意各种作物(如小麦、玉米、大麦和棉花)在土壤类型为壤土、粉质粘土和黑土时到达种子的水位的准确状态。在“利用无线传感器拓宽地下农田的不平坦水位障碍”(BUWLN)模型中,水位将被实时测量,并相应地将数据传输到基站。8个传感器节点和一个基站将与Arduino包一起部署在90 x 30平方英尺的面积上,以有效地监测水位。这项研究将跟踪水位,农民将被告知水位,这样他们就可以更有效地管理水资源。此外,如果水均匀分布,农民也会意识到田地,从而提高作物产量。利用PROTEUS进行仿真,将所提出的BUWLN模型与远程水位监测系统(RWMS)、低成本无线传感器网络(LCSN)和集合地下水位预测(E-GWLP)进行性能比较。结果表明,所提出的BUWLN模型具有足够的发展潜力。
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BROACHING UNCOUTH WATER LEVEL SNAG IN UNDERGROUND AGRICULTURE FIELD THROUGH WIRELESS SENSORS
The major problem faced by the agriculture industry is the growth of seeds at optimal fertility. Such uncouth fertility occurs when either no water reaches under soil seed or some obstacles prevent it. This issue degrades agriculture growth at an aggravation level and consequently barren the land. A wireless sensor-based communication model has been developed to notice the accurate status of the water level reaching seeds of various crops such as wheat, maize, barley, and cotton with soil types Loamy, Silty clay, and Black soil. In the proposed model, "Broadening Uncouth Water Level Snag in Underground Agriculture Field with Wireless Sensors" (BUWLN), the water level would be measured in real time and the data would be transmitted to a base station accordingly. The 8 sensor nodes and a base station would be deployed accompanied by an Arduino package in an area of 90 x 30 square feet to monitor water levels efficiently. The study will keep track of water levels, and the farmer will be informed of the water level so they may manage water resources more effectively. In addition, farmers will also be aware of the field if water is distributed uniformly so that the crops yield increases. The performance of the proposed BUWLN model has been compared with Remote water-level monitoring system (RWMS), Low cost wireless sensor network (LCSN), and Ensemble groundwater level prediction (E-GWLP) by conducting simulation using PROTEUS. result showed that the proposed BUWLN model has enough potential for future growth.
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来源期刊
Suranaree Journal of Science and Technology
Suranaree Journal of Science and Technology MULTIDISCIPLINARY SCIENCES-
CiteScore
0.30
自引率
50.00%
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0
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