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  1. Article ; Online: Project-based Learning for Control Education during COVID-19 Pandemic.

    Najeeb, Aiman / Memon, Junaid Ahmed

    IFAC-PapersOnLine

    2022  Volume 55, Issue 17, Page(s) 55–60

    Abstract: The paper presents a project-based learning approach for the undergraduate level first course on control systems in the context of electrical and computer engineering program. We share the experience of a complex engineering project model that assumes no ...

    Abstract The paper presents a project-based learning approach for the undergraduate level first course on control systems in the context of electrical and computer engineering program. We share the experience of a complex engineering project model that assumes no access to lab facility due to the COVID-19 pandemic but targets learning outcomes of a fundamental control system course, i.e., system modeling, performance investigation, analysis, design of analog or digital controller for a selected open-loop unstable system. The project utilizes Tinkercad Circuits which is a free online circuit simulator. The approach provides a solution to one of the challenges of remote or virtual engineering labs, i.e., a requirement of having high-performance expensive hardware and resource-intensive software support. Results are presented in terms of student samples and learning outcomes achieved at the end of the project.
    Language English
    Publishing date 2022-10-06
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2839185-8
    ISSN 2405-8963 ; 2405-8963
    ISSN (online) 2405-8963
    ISSN 2405-8963
    DOI 10.1016/j.ifacol.2022.09.224
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Investigation of Irrigation Water Requirements for Major Crops Using CROPWAT Model Based on Climate Data

    Solangi, Ghulam Shabir / Shah, Sabab Ali / Alharbi, Raied Saad / Panhwar, Sallahuddin / Keerio, Hareef Ahmed / Kim, Tae-Woong / Memon, Junaid Ahmed / Bughio, Ali Dost

    Water. 2022 Aug. 21, v. 14, no. 16

    2022  

    Abstract: Water is one of the most important natural resources and is widely used around the globe for various purposes. In fact, the agricultural sector consumes 70% of the world’s accessible water, of which about 60% is wasted. Thus, it needs to be managed ... ...

    Abstract Water is one of the most important natural resources and is widely used around the globe for various purposes. In fact, the agricultural sector consumes 70% of the world’s accessible water, of which about 60% is wasted. Thus, it needs to be managed scientifically and efficiently to maximize food production to meet the requirements of an ever-increasing population. There is a lack of information on water requirements of crops and irrigation scheduling concerning the Shaheed Benazirabad district, Pakistan. Thus, the present study was conducted to determine the irrigation water requirements (IWR) and irrigation scheduling for the major crops in the Shaheed Benazirabad district, Sindh, Pakistan, using agro-climatic data and the CROPWAT model. Agro-climatic data such as rainfall, maximum and minimum temperature, sunshine hours, humidity, and wind speed were obtained from the NASA website, CLIMWAT 2.0, and world weather However, data about studied crops and soils were obtained from FAO (Food and Agriculture Organization). Analysis revealed that the IWRs per irrigation round for the four major crops—sugarcane, banana, cotton, and wheat—were as 3108.0 mm, 1768.5 mm, 1655.7 mm, and 402.5 mm, respectively. It was observed the IWRs are more sensitive in the hot season because of high temperatures and low relative humidity, and vice versa in the cold season. The use of scientific tools such as CROPWAT is recommended to assess IWRs with a high degree of accuracy and to compute irrigation scheduling. Accordingly, the study results will be helpful for improving food production and supervision of water resources.
    Keywords Food and Agriculture Organization ; Internet ; agricultural industry ; bananas ; cold season ; cotton ; food production ; irrigation ; irrigation water ; meteorological data ; models ; rain ; relative humidity ; solar radiation ; temperature ; warm season ; wind speed ; Pakistan
    Language English
    Dates of publication 2022-0821
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2521238-2
    ISSN 2073-4441
    ISSN 2073-4441
    DOI 10.3390/w14162578
    Database NAL-Catalogue (AGRICOLA)

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