Araştırma Makalesi
BibTex RIS Kaynak Göster

Yıl 2023, Cilt: 4 Sayı: 1, 125 - 132, 30.06.2023

Omokara Idama Ovuakporaye Godwin Ekruyota

https://doi.org/10.46592/turkager.1297511
Cited By: 2

Öz

Kaynakça

  • Bezboruah T and Bora A (2020). Artificial intelligence: the technology, challenges and Applications. Transactions on Machine Learning and Artificial Intelligence, 8(5): 44-51.
  • Boehmer E (2015). Basics of Software Engineering Principle and Research. Lookman Publication, USA.
  • Ekruyota OG and Uguru H (2021a). Characterizing the mechanical properties of eggplant (Melina F1) fruits, for the design and production of agricultural robots. Direct Research Journal of Engineering and Information Technology, 8: 21-29.
  • Ekruyota OG and Uguru H (2021b). Development of an Autonomous Multifunctional Fruits Harvester. Journal of Agricultural Research, 6(2): 1-7.
  • Ekruyota OG, Akpenyi-Aboh ON and Uguru H (2021). Evaluation of the mechanical properties of tomato (cv. Roma) fruits as related to the design of harvesting and packaging autonomous system. Direct Research Journal of Agriculture and Food Science. 9: 174-180.
  • Ekuewa OI, Ogunti EO and Ekuewa JB (2022). Development of internet of things systems for monitoring agricultural silos. European Journal of Electrical Engineering and Computer Science, 6(1): 6-15.
  • Golf D (2019). Automated Green House System. International Journal of Engineering Research & Technology, 4(3): 45-60.
  • Hagstrum DW and Subramanyam B (2006). Fundamentals of stored-product entomology. Woodhead publishing and AACC International Press. Elsevier Inc.
  • Idama O, Uguru H and Akpokodje OI (2021). Mechanical properties of bell pepper fruits, as related to the development of its harvesting robot. Turkish Journal of Agricultural Engineering Research, 2(1): 193-205.
  • Ijabo J, Irtwange SV and Uguru H (2019). Effects of storage on physical and viscoelastic properties of yam tubers. Direct Research Journal of Agriculture and Food Science, 7(7):181-191.
  • Jenkins, D and Kurasaki R (2018). ABE-VIEW: Android Interface for Wireless Data Acquisition and Control. Sensors, 18(8): 2647-2667.
  • Karim AB, Hassan Z, Akanda M and Mallik A (2018). Monitoring food storage humidity and temperature data using IoT. MOJ Food Process Technology, 6(4): 400-404.
  • Mabrouk S, Abdelmonsef A and Toman C (2017). Smart grain storage monitor and control. American Scientific Research Journal for Engineering, Technology, and Sciences. 31(1): 156-162.
  • Nwanze NE and Uguru H (2020). Optimizing the Efficiency of Eggplant Fruits Harvesting and Handling Machines. Journal of Materials Science Research and Reviews, 6(3): 1-10.
  • Onibonoje MO, Nwulu NI and Bokoro PN (2019). A wireless sensor network system for monitoring environmental factors affecting bulk grains storability. Journal of Food Process Engineering, 42(7): 1-13.
  • Zhao Q, Liu Y, Yu Y, Song J and Zhou G (2014). Intelligent system for monitoring and controlling of the grain condition based on ARM9. The 26th Chinese Control and Decision Conference.

Design and Development of a Model Smart Storage System

Yıl 2023, Cilt: 4 Sayı: 1, 125 - 132, 30.06.2023

Omokara Idama Ovuakporaye Godwin Ekruyota

https://doi.org/10.46592/turkager.1297511
Cited By: 2

Öz

Food security has become a global major problem, due to the rapid increase in population growth. This has necessity the development of an effective agricultural products’ storage system, to alleviate the problem of food wastage. This study was embarked upon to develop a prototype of universal smart storage system for farm products, by using the internet of thing (IoT). The storage structure consists of four principal constituents which were; the power source, storage chamber, central processing system, and peripheral component interconnect (PCI) heater and PCI fan. The developed model was tested at a pre-set temperature and relative humidity of 32C and 62% RH respectively. The results revealed that the developed system had an efficiency of 85%. Though, the smart model had a failure rate of 15%, this smart prototype is a major breakthrough in the production of automated storage system for agricultural products.

Anahtar Kelimeler

Automation Environmental conditions Food security Smart system Storage structure

Kaynakça

  • Bezboruah T and Bora A (2020). Artificial intelligence: the technology, challenges and Applications. Transactions on Machine Learning and Artificial Intelligence, 8(5): 44-51.
  • Boehmer E (2015). Basics of Software Engineering Principle and Research. Lookman Publication, USA.
  • Ekruyota OG and Uguru H (2021a). Characterizing the mechanical properties of eggplant (Melina F1) fruits, for the design and production of agricultural robots. Direct Research Journal of Engineering and Information Technology, 8: 21-29.
  • Ekruyota OG and Uguru H (2021b). Development of an Autonomous Multifunctional Fruits Harvester. Journal of Agricultural Research, 6(2): 1-7.
  • Ekruyota OG, Akpenyi-Aboh ON and Uguru H (2021). Evaluation of the mechanical properties of tomato (cv. Roma) fruits as related to the design of harvesting and packaging autonomous system. Direct Research Journal of Agriculture and Food Science. 9: 174-180.
  • Ekuewa OI, Ogunti EO and Ekuewa JB (2022). Development of internet of things systems for monitoring agricultural silos. European Journal of Electrical Engineering and Computer Science, 6(1): 6-15.
  • Golf D (2019). Automated Green House System. International Journal of Engineering Research & Technology, 4(3): 45-60.
  • Hagstrum DW and Subramanyam B (2006). Fundamentals of stored-product entomology. Woodhead publishing and AACC International Press. Elsevier Inc.
  • Idama O, Uguru H and Akpokodje OI (2021). Mechanical properties of bell pepper fruits, as related to the development of its harvesting robot. Turkish Journal of Agricultural Engineering Research, 2(1): 193-205.
  • Ijabo J, Irtwange SV and Uguru H (2019). Effects of storage on physical and viscoelastic properties of yam tubers. Direct Research Journal of Agriculture and Food Science, 7(7):181-191.
  • Jenkins, D and Kurasaki R (2018). ABE-VIEW: Android Interface for Wireless Data Acquisition and Control. Sensors, 18(8): 2647-2667.
  • Karim AB, Hassan Z, Akanda M and Mallik A (2018). Monitoring food storage humidity and temperature data using IoT. MOJ Food Process Technology, 6(4): 400-404.
  • Mabrouk S, Abdelmonsef A and Toman C (2017). Smart grain storage monitor and control. American Scientific Research Journal for Engineering, Technology, and Sciences. 31(1): 156-162.
  • Nwanze NE and Uguru H (2020). Optimizing the Efficiency of Eggplant Fruits Harvesting and Handling Machines. Journal of Materials Science Research and Reviews, 6(3): 1-10.
  • Onibonoje MO, Nwulu NI and Bokoro PN (2019). A wireless sensor network system for monitoring environmental factors affecting bulk grains storability. Journal of Food Process Engineering, 42(7): 1-13.
  • Zhao Q, Liu Y, Yu Y, Song J and Zhou G (2014). Intelligent system for monitoring and controlling of the grain condition based on ARM9. The 26th Chinese Control and Decision Conference.
Toplam 16 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ziraat Mühendisliği
Bölüm Araştırma Makaleleri
Yazarlar

Omokara Idama 0000-0001-5814-4443

Ovuakporaye Godwin Ekruyota 0000-0003-4125-232X

Erken Görünüm Tarihi 25 Haziran 2023
Yayımlanma Tarihi 30 Haziran 2023
Gönderilme Tarihi 15 Mayıs 2023
Kabul Tarihi 15 Haziran 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 4 Sayı: 1

Kaynak Göster

APA Idama, O., & Ekruyota, O. G. (2023). Design and Development of a Model Smart Storage System. Turkish Journal of Agricultural Engineering Research, 4(1), 125-132. https://doi.org/10.46592/turkager.1297511

Cited By

Design and Development of Smart Agricultural Greenhouse
Turkish Journal of Agricultural Engineering Research
https://doi.org/10.46592/turkager.1362000
Design and Development of IoT based Smart System for Monitoring Laboratory Environment
Turkish Journal of Agricultural Engineering Research
https://doi.org/10.46592/turkager.1395697
 Kapak Resmi İndir

26831

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Yayıncı: Ebubekir ALTUNTAŞ

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