<?xml version='1.0' encoding='UTF-8'?>
<doi_batch version="5.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.crossref.org/schema/5.4.0" xsi:schemaLocation="http://www.crossref.org/schema/5.4.0 https://www.crossref.org/schemas/crossref5.4.0.xsd" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:fr="http://www.crossref.org/fundref.xsd" xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" xmlns:rel="http://www.crossref.org/relations.xsd" xmlns:mml="http://www.w3.org/1998/Math/MathML">
  <head>
    <doi_batch_id>NONE</doi_batch_id>
    <timestamp>20260722083212665</timestamp>
    <depositor>
      <depositor_name>wseas/wseas</depositor_name>
      <email_address>content-registration-form@crossref.org</email_address>
    </depositor>
    <registrant>content-registration-form</registrant>
  </head>
  <body>
    <journal>
      <journal_metadata>
        <full_title>International Journal of Applied Sciences &amp; Development</full_title>
        <issn media_type="electronic">2945-0454</issn>
      </journal_metadata>
      <journal_article>
        <titles>
          <title>Design and Implementation of an Intelligent Environmental Monitoring System for Fruit and Vegetable Preservation Using Virtual Instrumentation</title>
        </titles>
        <contributors>
          <person_name sequence="first" contributor_role="author">
            <given_name>Ioannis</given_name>
            <surname>Antonopoulos</surname>
            <affiliations>
              <institution>
                <institution_name>Department of Industrial Design and Production Engineering University of West Attica Egaleo Athens GREECE </institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Ilias</given_name>
            <surname>Chrysocheris</surname>
            <affiliations>
              <institution>
                <institution_name>Department of Industrial Design and Production Engineering University of West Attica Egaleo Athens GREECE </institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Nikolaos</given_name>
            <surname>Laskaris</surname>
            <affiliations>
              <institution>
                <institution_name>Department of Industrial Design and Production Engineering University of West Attica Egaleo Athens GREECE </institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Petros</given_name>
            <surname>Savvidis</surname>
            <affiliations>
              <institution>
                <institution_name>Department of Industrial Design and Production Engineering University of West Attica Egaleo Athens GREECE </institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Evangelos</given_name>
            <surname>Papakitsos</surname>
            <affiliations>
              <institution>
                <institution_name>Department of Industrial Design and Production Engineering University of West Attica Egaleo Athens GREECE </institution_name>
              </institution>
            </affiliations>
          </person_name>
        </contributors>
        <jats:abstract>
          <jats:p>The preservation of fruits and vegetables requires precise environmental control to prevent premature degradation caused by temperature and humidity variations. This paper presents the design and implementation of an intelligent environmental monitoring system using virtual instrumentation techniques. The system integrates temperature and relative humidity sensors, a data acquisition interface, and a LabVIEW-based software platform to provide continuous environmental supervision. The software architecture consists of a Front Panel for real-time visualization and operator interaction, and a Block Diagram implementing acquisition, signal processing, logical evaluation, and decision-support functionality. The system continuously compares environmental parameters against predefined thresholds and provides visual warnings and corrective recommendations when deviations occur. Experimental evaluation confirms reliable performance, accurate monitoring, and effective user interaction. The proposed system provides a scalable and efficient engineering solution for fruit and vegetable storage monitoring and preservation.</jats:p>
        </jats:abstract>
        <publication_date media_type="print">
          <month>07</month>
          <day>22</day>
          <year>2026</year>
        </publication_date>
        <publication_date media_type="online">
          <month>07</month>
          <day>22</day>
          <year>2026</year>
        </publication_date>
        <pages>
          <first_page>182</first_page>
        </pages>
        <publisher_item>
          <item_number item_number_type="article_number">19</item_number>
        </publisher_item>
        <ai:program name="AccessIndicators">
          <ai:license_ref>https://creativecommons.org/licenses/by/4.0/deed.en_US</ai:license_ref>
        </ai:program>
        <doi_data>
          <doi>10.37394/232029.2026.5.19</doi>
          <resource>https://wseas.com/journals/asd/2026/a38asd-019(2026).pdf</resource>
        </doi_data>
        <citation_list>
          <citation key="ref0">
            <unstructured_citation>Chandel A., Chauhan O., Postharvest Handling, Packaging and Storage of Fruits and Vegetables, In: Chauhan O. (ed.), Fruits and Vegetables Technologies, Springer, 2025. https://doi.org/10.1007/978-981-96- 8433-5_3</unstructured_citation>
          </citation>
          <citation key="ref1">
            <unstructured_citation>Yahia E.M., Carrillo-Lopez A. (eds.), Postharvest physiology and biochemistry of fruits and vegetables, Woodhead Publishing, 2018.</unstructured_citation>
          </citation>
          <citation key="ref2">
            <unstructured_citation>Shewfelt R.L., Prussia S.E., Challenges in handling fresh fruits and vegetables, In: Postharvest handling, pp. 167–186, Academic Press, 2022. https://doi.org/10.1016/B978-0- 12-822845-6.00006-3</unstructured_citation>
          </citation>
          <citation key="ref3">
            <unstructured_citation>Nath S., Advancements in food quality monitoring: integrating biosensors for precision detection, Sustainable Food Technology, Vol.2, 2024, pp. 976–992. https://doi.org/10.1039/D4FB00094C</unstructured_citation>
          </citation>
          <citation key="ref4">
            <unstructured_citation>Murugaboopathi G., Parthasarathy V., Chellaram C., Anand T.P., Vinurajkumar S., Applications of biosensors in food industry, Biosciences Biotechnology Research Asia, Vol.10, No.2, 2013, pp. 711–714. https://doi.org/10.13005/bbra/1185</unstructured_citation>
          </citation>
          <citation key="ref5">
            <unstructured_citation>Chauhan O.P., Lakshmi S., Pandey A.K., Ravi N., Gopalan N., Sharma, R.K., Nondestructive Quality Monitoring of Fresh Fruits and Vegetables, Defence Life Science Journal, Vol.2, No.2, 2017, pp. 103–110. https://doi.org/10.14429/dlsj.2.11379</unstructured_citation>
          </citation>
          <citation key="ref6">
            <unstructured_citation>Chrysocheris E., Rigakis I., Potamitis I., Papakitsos E.C., A Low Power Internet of Things (IoT) Communication System for Agricultural Applications, Agricultural Studies, Vol.3, No.3, 2019, pp. 34-48. DOI: 10.31058/j.as.2019.33001</unstructured_citation>
          </citation>
          <citation key="ref7">
            <unstructured_citation>Pérez de Prado R., García-Galán S., MuñozExpósito J.E., Marchewka A., Ruiz-Reyes N., Smart Containers Schedulers for Microservices Provision in Cloud-Fog-IoT Networks. Challenges and Opportunities, Sensors, Vol.20, No.6, 2020, p. 1714. https://doi.org/10.3390/s20061714</unstructured_citation>
          </citation>
          <citation key="ref8">
            <unstructured_citation>Jieyin Lyu, Fuli Zhou, and Yandong He, Technique-Enabled Container Logistics Supply Chain Sustainability Achievement, Sustainability, Vol.15, 2023, p. 16014. https://doi.org/10.3390/su152216014</unstructured_citation>
          </citation>
          <citation key="ref9">
            <unstructured_citation>Labview Dev Academy, Real-Time Data Acquisition and Control with LabVIEW: Applications and Implementation Strategies, https://medium.com/@labviewdevacademy/r eal-time-data-acquisition-and-control-withlabviewapplications-and-implementationstrategies-984358c05fe7</unstructured_citation>
          </citation>
          <citation key="ref10">
            <unstructured_citation>Ding Z., Zhang R., Kan Z., Quality and Safety Inspection of Food and Agricultural Products by LabVIEW IMAQ Vision, Food Analytical Methods, Vol.8, 2015, pp. 290– 301. https://doi.org/10.1007/s12161-014- 9989-1</unstructured_citation>
          </citation>
          <citation key="ref11">
            <unstructured_citation>Pallás-Areny R., Webster J.G., Sensors and Signal Conditioning (2nd Edition), John Wiley &amp; Sons, 2001.</unstructured_citation>
          </citation>
        </citation_list>
      </journal_article>
    </journal>
  </body>
</doi_batch>
