Design and implementation of smart farming system for fig using connected-argonomics.
Saved in:
| Title: | Design and implementation of smart farming system for fig using connected-argonomics. |
|---|---|
| Authors: | Zainal, N.1 nasharuddin.zainal@ukm.edu.my, Mohamood, N.2, Norman, M. F.1, Sanmutham, D.1 |
| Source: | International Journal of Electrical & Computer Engineering (2088-8708). Dec2019 (Part II), Vol. 9 Issue 6, p5653-5662. 10p. |
| Subjects: | Android (Operating system), Fig, Requirements engineering, Raspberry Pi, Communicable diseases, Water quality |
| Abstract: | This paper proposes a design and implementation approach of smart farming system using connected-agronomics technique for fig farm application. Nowadays, fig plants having a rapid growth in the current market demand due to its rich in natural health benefiting nutrients, antioxidants and vitamins where some farming systems have been used in maintaining fig plant's environmental resources to grow without fail. Smart farming is a system applied to provide user with real time information and plan for desired plant such as time intervals for watering systems. There are two major problems on maintaining the fig fruit quality; watering system fail during emergency blackout and a contagious disease known as leaf rust due to external environments. The system implements two microcontrollers, the Arduino Uno & Raspberry Pi along with smartphone Android application. The system performance is evaluated based on the requirement specification, irrigation soil, surrounding temperature and moisture. It is found that all data collected by the sensors are within the optimal range of values, which are 1500 µS/cm to 1599 µS/cm for the EC reading of the fertilizer while 6.0 to 6.5 for the pH value of the soil. This prototype of smart farming was well developed and can be applied to the fig plantation environment. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 138426876 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Design and implementation of smart farming system for fig using connected-argonomics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zainal%2C+N%2E%22">Zainal, N.</searchLink><relatesTo>1</relatesTo><i> nasharuddin.zainal@ukm.edu.my</i><br /><searchLink fieldCode="AR" term="%22Mohamood%2C+N%2E%22">Mohamood, N.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Norman%2C+M%2E+F%2E%22">Norman, M. F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sanmutham%2C+D%2E%22">Sanmutham, D.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Dec2019 (Part II), Vol. 9 Issue 6, p5653-5662. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Android+%28Operating+system%29%22">Android (Operating system)</searchLink><br /><searchLink fieldCode="DE" term="%22Fig%22">Fig</searchLink><br /><searchLink fieldCode="DE" term="%22Requirements+engineering%22">Requirements engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Raspberry+Pi%22">Raspberry Pi</searchLink><br /><searchLink fieldCode="DE" term="%22Communicable+diseases%22">Communicable diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Water+quality%22">Water quality</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper proposes a design and implementation approach of smart farming system using connected-agronomics technique for fig farm application. Nowadays, fig plants having a rapid growth in the current market demand due to its rich in natural health benefiting nutrients, antioxidants and vitamins where some farming systems have been used in maintaining fig plant's environmental resources to grow without fail. Smart farming is a system applied to provide user with real time information and plan for desired plant such as time intervals for watering systems. There are two major problems on maintaining the fig fruit quality; watering system fail during emergency blackout and a contagious disease known as leaf rust due to external environments. The system implements two microcontrollers, the Arduino Uno & Raspberry Pi along with smartphone Android application. The system performance is evaluated based on the requirement specification, irrigation soil, surrounding temperature and moisture. It is found that all data collected by the sensors are within the optimal range of values, which are 1500 µS/cm to 1599 µS/cm for the EC reading of the fertilizer while 6.0 to 6.5 for the pH value of the soil. This prototype of smart farming was well developed and can be applied to the fig plantation environment. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=138426876 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.11591/ijece.v9i6.pp5653-5662 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 5653 Subjects: – SubjectFull: Android (Operating system) Type: general – SubjectFull: Fig Type: general – SubjectFull: Requirements engineering Type: general – SubjectFull: Raspberry Pi Type: general – SubjectFull: Communicable diseases Type: general – SubjectFull: Water quality Type: general Titles: – TitleFull: Design and implementation of smart farming system for fig using connected-argonomics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zainal, N. – PersonEntity: Name: NameFull: Mohamood, N. – PersonEntity: Name: NameFull: Norman, M. F. – PersonEntity: Name: NameFull: Sanmutham, D. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: Dec2019 (Part II) Type: published Y: 2019 Identifiers: – Type: issn-print Value: 20888708 Numbering: – Type: volume Value: 9 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708) Type: main |
| ResultId | 1 |
