基于物联网和人工智能的作物预测智能农业框架

Pushpa Singh, M. Singh, Narendra Singh, A. Chakraverti
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引用次数: 0

摘要

目前,人工智能(AI)和物联网(IoT)以自动化和智能化的创新理念改变了农业领域。农业领域完全依赖于土壤、大气和水的不确定性参数。物联网和人工智能的技术进步有助于解决这一不确定性因素,并向农民推荐最好的作物,以便他们也可以提高作物的生产力,并智能地满足世界上巨大的粮食需求。在本文中,我们提出了一个基于物联网和人工智能的模型,该模型在Python中使用2200条数据集记录和7个属性进行训练。该模型通过不同的传感器数据收集样本后,向农民推荐22种不同的作物。我们使用了土壤、温度、湿度、pH值和降雨量传感器。利用土壤传感器测量土壤中氮、磷、钾的含量。收集SLE患者标本,进行细胞培养与治疗、质粒构建与转染、实时荧光定量PCR分析、酶联免疫吸附试验(ELISA)、细胞活力分析、细胞凋亡分析、Western blot检测。在本研究中,我们探讨了GAS5在SLE发病机制中的作用。我们证实,与健康人相比,SLE患者外周血单核细胞中GAS5的表达显著降低。随后,我们发现GAS5可以通过过表达或敲低GAS5的表达来抑制单核细胞的增殖和促进细胞凋亡。此外,LPS抑制了GAS5的表达。沉默GAS5可显著增加LPS诱导的IL-1β、IL-6和THFα等趋化因子和细胞因子的表达。此外,我们发现GAS5参与tlr4介导的炎症过程是通过影响MAPK信号通路的激活。总的来说,GAS5表达的降低可能是SLE患者大量细胞因子和趋化因子产生升高的潜在因素。我们的研究提示GAS5在SLE的发病机制中起调节作用,并可能为治疗干预提供潜在的靶点。
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IoT and AI-based Intelligent Agriculture framework for Crop Prediction
Currently, Artificial Intelligence (AI) and the Internet of Things (IoT) have transformed the field of agriculture with the innovative idea of automation and intelligence. The agriculture field completely relies on the uncertainty parameter of soil, atmosphere, and water. Technological advancement in IoT and AI assist in resolving this uncertainty factor and recommend the best crops to the farmers so that they can also enhance the productivity of the crops and meet the world's large food demand smartly. In this paper, we have suggested an IoT and AI-based model which trained with 2200 records of the dataset and seven attributes in Python. The model suggests 22 different crops to farmers after collecting samples through different sensor data. We used soil, temperature, humidity, pH, and rainfall sensors. Soil sensors were used to measure the amount of N, P, and K in soil. The samples of of the SLE patients, Cell culture and treatment, Plasmid construction and transfection, Quantitative real-time PCR analysis, Enzyme-linked immunosorbent assay (ELISA), Cell viability analysis, Cell apoptosis analysis, Western blot were collected. In this research, we investigated the contribution of GAS5 in the pathogenesis of SLE. We confirmed that, compared to healthy people, the expression of GAS5 was significantly decreased in peripheral monocytes of SLE patients. Subsequently, we found that GAS5 can inhibit the proliferation and promote the apoptosis of monocytes by over-expressing or knocking down the expression of GAS5. Additionally, the expression of GAS5 was suppressed by LPS. Silencing GAS5 significantly increased the expression of a group of chemokines and cytokines, including IL-1β, IL-6 and THFα, which were induced by LPS. Furthermore, it was identified that the involvement of GAS5 in TLR4-mediated inflammatory process was through affecting the activation of the MAPK signaling pathway. In general, the decreased GAS5 expression may be a potential contributor to the elevated production of a great number of cytokines and chemokines in SLE patients. And our research suggests that GAS5 contributes a regulatory role in the pathogenesis of SLE, and may provide a potential target for therapeutic intervention.
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来源期刊
International Journal of Sensors, Wireless Communications and Control
International Journal of Sensors, Wireless Communications and Control Engineering-Electrical and Electronic Engineering
CiteScore
2.20
自引率
0.00%
发文量
53
期刊介绍: International Journal of Sensors, Wireless Communications and Control publishes timely research articles, full-length/ mini reviews and communications on these three strongly related areas, with emphasis on networked control systems whose sensors are interconnected via wireless communication networks. The emergence of high speed wireless network technologies allows a cluster of devices to be linked together economically to form a distributed system. Wireless communication is playing an increasingly important role in such distributed systems. Transmitting sensor measurements and control commands over wireless links allows rapid deployment, flexible installation, fully mobile operation and prevents the cable wear and tear problem in industrial automation, healthcare and environmental assessment. Wireless networked systems has raised and continues to raise fundamental challenges in the fields of science, engineering and industrial applications, hence, more new modelling techniques, problem formulations and solutions are required.
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